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Chris LuandGitHub	69cc2869ad	Fixes from the review of the admin bucket policy UI (#10907) ... * admin: treat a missing S3 Tables policy as an empty load, not an error The bucket/table policy GET relayed the backend's 404 NoSuchPolicy to the dialog, whose loader treats any non-OK response as a load failure and keeps Save and Delete blocked. A bucket or table without a policy could never be given one. Return policy null instead, the same contract ShowBucketPolicy uses for classic buckets. * admin: reject policy documents the structured editor would misread A top-level JSON array passed the object guard (typeof [] is 'object') and loaded as a zero-statement policy, which the next commit would rewrite to an empty document. Object elements in Action/Resource were coerced to '[object Object]' and saved that way on the s3tables surface, which stores policies verbatim. Both now throw, which routes the document to the JSON tab like other unrepresentable shapes. * admin: let the JSON tab save documents the structured editor can't model Save with the JSON tab active required a round-trip through policyDocToEditorState, so exactly the documents the dialogs shunt to 'JSON tab only' mode (unrepresentable Effect, Resource+NotResource, and the like) could never be saved - Delete was the only mutation left. Invalid JSON still blocks; an unrepresentable document now saves and the editor state stays marked unparsed. * admin: pin the policy editor to what each consumer's backend supports The s3tables evaluator has no NotResource/NotPrincipal fields - it silently drops them, turning Allow+NotResource into allow-everything and making Deny+NotPrincipal inert - and it only matches s3tables: actions against s3tables ARNs, while the editor suggested s3: actions and arn:aws:s3::: resources. New registerPolicyEditor knobs: allowNegation hides the Not* modes and routes documents using them to the JSON tab; resourceSuggestions pins the Resource autocomplete to the open resource's ARN; the S3 Tables dialogs get an s3tables-only action datalist. requirePrincipal now also hides NotPrincipal, which policy_engine.ValidateBucketPolicy always rejects, and the client-side check requires Principal specifically to match that server rule. * admin: save S3 Tables policies from a button, not form submission The multi-input structured editor sits inside a form whose Save button was type=submit, so Enter in any single-line editor input - accepting an autocomplete suggestion, say - implicitly submitted whatever half-built statement the editor held, and the backend stores the document verbatim. A lone statement with no Principal matches nobody, locking out every non-owner. Save is now an ordinary button and the form ignores submission. * admin: block zero-statement policy saves Committing the active tab before the emptiness check made 'Policy JSON is required' dead code: an empty editor serializes to {"Statement":[]}, which the s3tables backend stores verbatim - evaluated default-deny for every non-owner, while the statement-count column keeps showing 'Not configured'. All three policy dialogs now refuse a save with no statements and point at Delete instead. The classic bucket modal only gained a clearer message; the server already rejected the document. * admin: guard S3 Tables policy mutations against stale and overlapping requests The save/delete completions ran against whatever resource the shared modal happened to show by then: a slow PUT for one bucket would hide the modal mid-edit of another and misattribute its alerts, a late DELETE cleared the shared textarea over the newly opened resource with its loaded flag set, and nothing stopped a double-click from firing two overlapping mutations. Ported the classic modal's pattern: capture the target on start, flag the mutation in flight with the buttons disabled, and only touch the UI when the completion still matches the open resource. Success now reloads the page, which also keeps the Policy column's statement count honest. * admin: confirm before deleting an S3 Tables policy Delete Policy sat next to Save and fired on a single click; with default-allow enabled one stray click silently dropped the resource policy and left the bucket open to every principal. Same confirmation the classic bucket modal already has. * admin: let a corrupt stored bucket policy be shown, fixed, and deleted A stored document the decoder rejects made the policy GET 500, and with the loaded flag never set the modal blocked both Save and Delete - the one policy an operator most needs to remove was the one they couldn't, even though the delete path never reads the document. The GET now returns the raw bytes alongside a null policy; the dialog hands them to the JSON tab and unblocks the buttons. * admin: url-encode the bucket name in the policy API calls The filer lists any directory under the buckets path, names S3 would never allow included; one carrying '#' or '%' broke the fetch URL or addressed a different name than the modal shows. * admin: drop stale edit-policy responses on the IAM policies page The same race the bucket and S3 Tables dialogs already guard against: open one policy's editor while its GET stalls, open another, and the late response populates the editor under the second policy's name - Update then saves the first policy's statements over the second. * admin: warn before a bucket policy save drops unsupported fields The editor tracks unmodeled top-level keys precisely so confirmPolicyFieldDiscard can warn before the server's Version+Statement decode discards them, but only the IAM page called it; the bucket modal saved a pasted document with e.g. a console-generated Id without a word while the editor kept displaying the field. * s3: enforce the bucket policy size cap on both surfaces The 20KB cap lived only in the admin UI, so a larger policy stored via the S3 API displayed there but could never be re-saved, desyncing the two writers the cap comment claimed could not desync. The constant now lives in policy_engine next to the shared validator and PutBucketPolicy rejects oversized documents with PolicyTooLarge, matching AWS. * admin: ship the policy editor's fieldset styles with the editor The .policy-stmt-* rules that undo Bootstrap's full-width legend reset stayed behind in policies.templ when the editor markup moved to the shared script, so the bucket and S3 Tables dialogs rendered Actions/ Resource/Principal as full-width jumbo headings. PolicyDatalists is the component every consumer already renders once; the styles live there now. * s3: mirror bucket policy changes into the IAM store from the metadata subscription The advanced-IAM path appends the bucket-policy:<bucket> document to every STS/session evaluation, but only this gateway's own PutBucketPolicy maintained that mirror - a policy tightened or created through the admin UI (or another gateway) never reached it, so revoked access stayed live indefinitely, and the delete side was an unimplemented TODO in any case. The metadata subscription now diffs the stored policy on every bucket entry change and updates or removes the mirror, covering all writers and deletion with one mechanism; IAMManager gains the missing RemoveBucketPolicy. * admin: deduplicate the bucket policy write path Set and Delete carried line-for-line identical filer closures; bucketPolicyMutation already treats nil as clear-the-key. The shared helper sits below Set's validation, since ValidatePolicy cannot take the nil document Delete passes. * s3: drop ValidateBucketPolicy's re-checks of ValidatePolicy rules Both callers run ValidatePolicy first, which already enforces the version and at-least-one-statement rules; the duplicates were dead code with drifted error text. * admin: seed a new statement's Resource from the pinned suggestions A fresh statement on the S3 Tables dialogs started with no resource row at all; seed it with the broadest pinned ARN the same way cfg.bucket already seeds the classic modal. * admin: refuse to save Not* fields the backend would silently drop Hiding the NotResource/NotPrincipal modes was not enough where negation is disallowed: the JSON tab accepts any valid document (that is its job), and a statement's Advanced-fields box can reintroduce the keys, so an s3tables save could still store fields the evaluator drops - turning Allow+NotResource into allow-everything. commitPolicyActiveTab now runs a final document-level check over what would actually be saved; Delete stays available for cleanup. * s3: move the IAM bucket policy mirror on a bucket rename A same-directory rename delivers one event carrying both entries, and the byte-equality short-circuit skipped the new name's mirror when the policy was unchanged - while the replayed delete for the old name removed its mirror, leaving the renamed bucket unmirrored. The mirror decision is now a pure function that removes the old name and writes the new one regardless of byte equality, with the rename cases unit tested. * s3: backfill the IAM bucket policy mirror on lazy bucket loads The metadata subscription only mirrors changes, so a policy that predates the IAM integration never reached the bucket-policy:<bucket> mirror and its grants did not bind on the IAM path until the policy was next modified. The gateway is deliberately lazy at startup (nothing lists all buckets), so the backfill hooks the same place a bucket's policy first becomes known: the cold bucket-config load. EnsureBucketPolicy writes only when no mirror is stored, so repeat loads cost one cached read. * s3: reconcile the bucket policy backfill against concurrent changes The backfill's check-then-write could race an event-driven mirror update or removal and re-store bytes that were already stale, with no later event to heal it. EnsureBucketPolicy now reports whether it wrote, and a write is reconciled against a fresh authoritative entry read: a changed policy is re-mirrored, a removed one is removed. Anything changing after that read fires its own event, which finds the backfill's write already present and supersedes it. The backfill also carries the entry's raw bytes rather than a re-marshaled document, so the reconcile can byte-compare. * s3: prime the bucket policy mirror before advanced-IAM authorization The backfill ran from the lazy bucket-config load, but IAM authorization evaluates the bucket-policy:<bucket> mirror before any handler runs - a grant carried only by a not-yet-mirrored policy denied forever, and the denied request never reached the code that would have loaded the bucket. authorizeWithIAM now primes the bucket config first (an in-memory cache hit once warm), and the backfill runs synchronously on the cold load so the very first authorization already sees the mirror.	2026-08-24 00:52:01 -07:00
Chris LuandGitHub	68ec8ca655	admin: honor a persisted or admin.toml maintenance enabled=false (#10909) ... * admin: honor a persisted or admin.toml maintenance enabled=false The startup path discarded an operator's enabled=false twice over: ApplyDefaultsToProtobuf treated the bool zero value as unset and applied the schema default of true, and a force-enable migration block flipped any survivor. With the legacy /maintenance UI routes gone, nothing could write the config either, so the maintenance system ran unconditionally. Keep the persisted enabled flag across schema-default application in LoadMaintenanceConfig, drop the force-enable block, and add a top-level [maintenance] enabled key to admin.toml as the config surface, persisted through SaveMaintenanceConfig like the per-task settings. Absent config still defaults to enabled. * admin: track presence on the maintenance enabled flag A plain proto3 bool cannot distinguish an operator's persisted false from a legacy file that simply omits the field, so honoring false would have silently switched maintenance off for configs written before the toggle could be persisted. Make the field optional: files that predate presence tracking keep the enabled default, while a file that explicitly persists the toggle is honored either way.	2026-08-24 00:01:48 -07:00
Mathieu ArnoldandGitHub	e931cccc7b	Manage bucket policies via the admin ui (#10895) ... * admin: manage S3 bucket policies from the admin UI Bucket policies were only manageable through the S3 PutBucketPolicy API; the admin UI had no equivalent to the quota/owner/lifecycle editors it already offers. Add GET/PUT/DELETE for a bucket's policy, sharing the exact validation the S3 gateway uses. - Extract validateBucketPolicy/validateResourceForBucket out of s3api_bucket_policy_handlers.go into policy_engine.ValidateBucketPolicy / ResourceMatchesBucket so both the S3 API and the admin UI enforce identical rules. - weed/admin/dash/bucket_policy.go: Get/Set/DeleteBucketPolicy, writing through ObjectTransaction + PATCH_EXTENDED (the lifecycle pattern) so a concurrent owner/quota/lifecycle change on the same bucket entry isn't clobbered. Propagation to every S3 gateway is automatic via the existing filer metadata log subscription. The S3 gateway's IAM policy mirror is deliberately not replicated here (its delete path is already an unimplemented TODO on the S3 side). - New GET/PUT/DELETE /api/s3/buckets/{bucket}/policy routes, CSRF-guarded on writes. - Bucket list and details modal now show a statement-count badge, read from the entry already fetched (no extra RPC). - UI: a JSON-textarea policy editor modal, matching the lifecycle modal's structure. * admin: reuse the visual policy editor for bucket policies Extract the structured policy editor (add/remove statement, action/ resource/principal rows with autocomplete, JSON tab kept in sync) out of policies.templ's inline script into a shared weed/admin/static/js/policy_editor.js, and wire the bucket policy modal in s3_buckets.templ up to it instead of a bare JSON textarea. - registerPolicyEditor(which, config) replaces the hardcoded create/edit id derivation with a per-instance config (textarea/tab/body ids, datalist ids, requirePrincipal, bucket). The IAM policies page keeps its exact pre-extraction ids via two registerPolicyEditor calls, so its markup is unchanged. - New policy_datalists.templ exposes the three shared <datalist>s (actions/resources/principals) as @PolicyDatalists(), now rendered by both policies.templ and s3_buckets.templ. - requirePrincipal seeds new bucket-policy statements with Principal: "*" and adds a client-side check before save (the server, via policy_engine.ValidateBucketPolicy, remains the actual authority); the bucket config pins the Resource autocomplete to the open bucket instead of fetching every bucket in the cluster. - layout.templ loads policy_editor.js globally, after admin.js/ modal-alerts.js (basePath/escapeHtml/showAlert) which it depends on. 3a (the extraction) is a byte-preserving move verified against the unchanged policies.templ behavior before layering 3b's parameterization and the bucket-policy wiring on top. * admin: migrate S3 Tables bucket/table policy editors to the shared editor Third consumer of the shared visual policy editor: the S3 Tables bucket and table policy modals (a bare JSON textarea each) now get the same structured Editor/JSON tabs as the bucket policy and IAM policy pages, via registerPolicyEditor('s3tablesBucketPolicy'/'s3tablesTablePolicy', { textareaId: ... }). Storage and validation are untouched - S3 Tables policies still go through their own s3tables.PolicyDocument type and the s3tables.policy extended attribute, unrelated to policy_engine and s3-bucket-policy; only the editor UI is shared. Fix a real bug surfaced by adding this second load path: the bucket policy modal (and the naive first draft of this s3tables port) called commitPolicyTextareaToEditor() right after a GET and then force-switched to the Editor tab. commitPolicyTextareaToEditor() is designed to leave the current tab in place and the editor state untouched when a document fails to parse (so an in-progress edit survives a bad tab switch), so forcing the Editor tab afterwards could show empty/stale editor state that a careless Save would then serialize over a perfectly valid but structurally-unusual stored policy. Add loadPolicyTextareaIntoEditor(which) to policy_editor.js, which has no "current tab" to defer to and instead falls back to the JSON tab with an alert on a document the structured editor can't represent - the same safety editPolicy already had in policies.templ - and use it at all three "populate the editor right after a GET" call sites (bucket policy, S3 Tables bucket policy, S3 Tables table policy). * admin: show policy statement count on the S3 Tables buckets page Mirrors the "Policy" column already added to the classic S3 buckets list: a clickable badge with the statement count when the table bucket has a resource policy, "Not configured" otherwise. S3 Tables policies are a separate mechanism (s3tables.PolicyDocument under the s3tables.policy extended attribute) from the S3 bucket policy work elsewhere in this branch (policy_engine.PolicyDocument / s3-bucket-policy), so this is a parallel implementation of the same pattern rather than shared code. - S3TablesBucketSummary gains PolicyStatementCount, populated in GetS3TablesBucketsData from entry.Entry.Extended[s3tables.ExtendedKeyPolicy] via the new extractS3TablesPolicyStatementCountFromEntry - no extra RPC, the entry is already fetched for ExtendedKeyMetadata. - The badge reuses the existing .s3tables-bucket-policy-btn class, so it opens the same policy modal as the row's action button with no JS changes. * admin: don't let a failed policy GET open the door to an empty overwrite loadS3TablesBucketPolicy/loadS3TablesTablePolicy cleared the textarea, then unconditionally called loadPolicyTextareaIntoEditor() regardless of whether the GET actually succeeded - including when fetch() rejected or the response was not ok, silently logged to console only. That leaves the structured editor holding a legitimate-looking empty policy ({version, statements: []}), with the Editor tab active by default. If Save is then clicked, commitPolicyActiveTab() serializes that empty state into the textarea as `{"Version":"2012-10-17","Statement":[]}` - a non-empty string - before the "Policy JSON is required" guard ever sees it, so the guard passes and the transient load failure gets written over whatever policy was actually stored. Add s3tablesBucketPolicyLoaded/s3tablesTablePolicyLoaded, set true only once a GET has actually completed (ok, including a genuinely empty policy) and false on any failure path (fetch rejection or a non-ok response, which previously fell through silently). Both submit handlers now check the flag before touching the editor at all, and a failed load surfaces via alert() instead of only a console.error - the user previously had no visible indication the load had failed. Verified with a jsdom simulation driving the real rendered page against a stubbed fetch: a failed GET followed by Save now sends no PUT at all (previously it sent Statement: []); a successful GET followed by Save still PUTs the loaded policy unchanged. * admin: address code review findings on the policy editor 1. policy_editor.js: policyEditors is only pre-populated for 'create'/ 'edit'; every other `which` (bucket, s3tablesBucket, s3tablesTable) stays undefined until its first successful async load. Nothing in this file enforces that a page hide its Editor/JSON tabs and Add-statement button until that load completes - the S3 Tables policy modals don't - so a click in that window (e.g. Add statement, or switching to the JSON tab) threw "Cannot read properties of undefined (reading 'unparsed')". Add policyEditorState(which), which lazily initializes a default state, and route addPolicyStatement, the jsonTabBtn 'show.bs.tab' handler, commitPolicyActiveTab, and renderPolicyEditor through it. Verified with a jsdom simulation against a never-resolving fetch: the exact click threw on the pre-fix code and no longer does. 2. s3_buckets.templ: the bucket-policy Save handler checked the textarea for emptiness before calling commitPolicyActiveTab(), which is what actually serializes the structured Editor tab's fields into that textarea. A policy entered entirely through the Editor tab (the primary path - never touching the JSON tab) left the textarea at whatever it was at load time, so creating a new policy this way hit "Enter a policy document" and Save silently did nothing. Move the commit before the emptiness check, preserving the existing alert and early-return. Verified with a jsdom simulation: Add-statement then Save (no tab switch) now PUTs the entered statement; before the fix the same sequence never reached fetch(). 3. s3tables_buckets.templ / s3tables_tables.templ: the policy Editor/ JSON nav-tabs were missing the ARIA roles Bootstrap's own tab pattern expects (role="tab"/"tabpanel", aria-selected, aria-controls, aria-labelledby) - screen readers had no way to tell these were tabs or which pane went with which button. Added the standard Bootstrap 5 tab markup to both. * admin: guard policy load/save flows against overlapping requests 1. s3tables.js: loadS3TablesBucketPolicy/loadS3TablesTablePolicy had no protection against overlapping loads. Opening one bucket's (or table's) policy dialog and then another's before the first GET resolved let the late response write its document into the shared textarea and mark the dialog "loaded" while it was now targeting the second resource - a subsequent Save would then push the first resource's policy onto the second. Add a per-load monotonic sequence number (s3tablesBucketPolicyRequestSeq / s3tablesTablePolicyRequestSeq, the same pattern already used for the classic bucket-policy load in s3_buckets.templ); a response is only applied - textarea, loaded flag, editor state - if its captured sequence still matches the latest one issued. Verified with a jsdom simulation: bucket A's policy load (artificially slow) followed immediately by bucket B's (fast) previously left A's policy in the textarea once A's late response landed; it now correctly keeps B's. 2. s3_buckets.templ: the bucket-policy Save button lives outside the (initially hidden) editor wrapper, so it stays clickable while a load is still in flight - the existing policyRequestSeq guard only protects the *load* from a stale response, not Save from firing before any load for the current bucket has completed. Add bucketPolicyLoaded, reset before each GET and set only once the matching response lands, and check it at the top of the Save handler. Verified with a jsdom simulation: clicking Save immediately after opening the dialog, before a (deliberately never-resolving) GET settles, now sends no PUT; a normal load-then-save sequence still PUTs the loaded policy unchanged. * admin: address further code review findings on the policy editor 1. s3tables.js: loadS3TablesBucketPolicy/loadS3TablesTablePolicy only reset the JSON textarea when a new load starts; the structured editor kept showing the previously loaded resource's statements (Editor tab is the default active one) until the new fetch resolved. Call loadPolicyTextareaIntoEditor() against the now-cleared textarea immediately, so switching resources visibly resets the editor right away instead of only once its own load completes. Verified with jsdom: opening bucket A (loads fully) then bucket B (GET never resolves) no longer leaves A's statements visible in B's editor. 2. s3tables.js: deleteS3TablesBucketPolicy/deleteS3TablesTablePolicy had no loaded-state check, so a failed GET (which already blocks Save) left Delete fully able to remove the resource's stored policy sight unseen. Add the same s3tablesBucketPolicyLoaded/s3tablesTablePolicyLoaded guard Save already uses. Verified with jsdom: delete after a failed load now sends no DELETE; delete after a successful load is unaffected. 3. s3_buckets.templ: the bucket-policy Editor/JSON nav-tabs were missing the same ARIA roles already added to the S3 Tables policy tabs in an earlier round (role="tab"/"tabpanel", aria-selected, aria-controls, aria-labelledby) - this instance was out of scope for that review comment but is the same gap. Bootstrap's own tab.js already manages aria-selected on tab switch once the attribute exists, so no extra JS was needed. 4. s3_buckets.templ: neither the bucket-policy Save nor Delete handler guarded against a double-click, or against firing while the other was still in flight - two overlapping PUT/DELETE requests for the same bucket could land in either order. Add a shared bucketPolicyMutationInFlight flag: set (and both buttons disabled) before each fetch, cleared (and buttons re-enabled) on failure so the user can retry, left set through the existing success hide-and-reload path, and also reset when a new bucket's dialog opens so an abandoned in-flight request from a closed dialog can't leave the buttons stuck disabled. Verified with jsdom: double-clicking Save now sends exactly one PUT, and a Delete click while that PUT is still pending sends no DELETE. * admin: scope bucket-policy mutation completions to the bucket that started them 1. The previous round's fix reset bucketPolicyMutationInFlight whenever a new bucket's policy dialog opened, to avoid leaving Save/Delete stuck disabled if the modal was closed mid-request. That traded one bug for a worse one: if bucket A's PUT/DELETE was still in flight when the user opened bucket B's dialog, the reset let B's Save/Delete fire immediately, and A's completion handler - unaware anything had changed - would still hide the (now B's) modal and reload the page out from under whatever the user was doing with B, on success, or alert a message with no bucket context, on failure. Stop resetting on reopen, so a pending mutation for a previous bucket keeps this bucket's Save/Delete blocked until it settles (matches the "preventing overlapping mutations" the review comment describes). Instead, capture policyEditorBucket as targetBucket right before each fetch and compare it against policyEditorBucket again in the completion handler: the in-flight flag is always released so the buttons never get stuck, but the modal-hide/reload/alert only fire if this bucket is still the one showing; a stale completion for an abandoned bucket just logs to the console instead. Verified with a jsdom simulation: opening bucket B while bucket A's Save is still pending leaves B's Save button disabled and a click on it a no-op; once A's PUT resolves, B's button re-enables but no modal.hide()/reload() fires (previously both fired unconditionally). 2. bucketPolicyDeleteBtn had no bucketPolicyLoaded check, unlike Save - a failed GET blocked Save but left Delete free to remove a policy the client never actually saw (the same gap already fixed for the S3 Tables policy modals in an earlier round). Added the same guard, ahead of the confirm() dialog. Verified with jsdom: Delete after a failed load now sends no DELETE request. * admin: fix spelling mistake	2026-08-23 22:11:18 -07:00
孙超andGitHub	c80664ec21	s3: propagate storage rule fsync to volume server uploads (#10906) ... The storage rule's fsync decision was computed by the filer (detectStorageOption -> rule.Fsync) and applied on the filer's own HTTP write path, but was never carried onto the chunk uploads S3 issues: the AssignVolumeResponse had no fsync field, so the s3api client could not learn the decision, and the chunked upload URL was hardcoded without it. Every S3 write to a path with fsync configured went to the volume server as a non-fsync write. Carry the decision through the assign response: - filer.proto: AssignVolumeResponse gains bool fsync, filled from the storage option the assign resolved. - operation.AssignResult gains Fsync, so uploadChunk can append ?fsync=true to the volume server upload URL (single and replica fan-out paths). - The S3 PUT/UploadPart assignFunc, the S3 copy path, the admin file browser upload, and the Iceberg worker assign functions all forward the response field. Adds TestUploadReaderInChunksAppendsFsyncWhenAssigned.	2026-08-23 22:11:08 -07:00
Chris LuandGitHub	71a8c77a36	telemetry: let the dashboard pick the confirmation window (#10904) ... * telemetry: let the dashboard pick the confirmation window * telemetry: cover the serialized threshold map through the stats handler	2026-08-23 21:48:33 -07:00
Chris LuandGitHub	9c8d3b6a81	ec: refund the cleared leftover shards' slots in the encode source health check (#10903) ... * erasure_coding: one home for the shard-count to volume-slots conversion * ec: refund the cleared leftover shards' slots in the encode source health check	2026-08-23 21:48:20 -07:00
Chris LuandGitHub	36c97344ef	s3: confine a Lance catalog table location to the caller's own bucket (#10901) ... The Lance namespace gateway took the request-body location field, trimmed a trailing slash, and passed it straight to the marker sink. That location feeds TableDataDirFromMetadataLocation, which joins it under /buckets and collapses any ../ segments, and writeMarker's CreateEntry then auto-creates every missing parent. A caller could point the location at another tenant's bucket, or escape /buckets entirely, and plant a fixed-name marker (recursively creating the parents) or hide a victim's live table with .lance-deregistered. Confine the declared location the way the Iceberg gateway already does: require an s3:// URI whose bucket is the caller's own and whose path carries no traversal segment, on both the declare and register handlers.	2026-08-23 11:49:52 -07:00
Chris LuandGitHub	74038e1b14	master: don't let a dead KeepConnected handler close its successor's channel (#10900) ... A client that reconnects before the old handler exits re-registers the same client name, and addClient overwrites the map entry. The old handler's deferred deleteClient then closed whatever channel the map held under that name: the new, live stream's. Receiving from a closed channel returns nil immediately and forever, so the new handler's send loop degenerated into sending empty responses at wire speed, pinning a core on each side until the client killed the connection. deleteClient now closes the channel its own handler registered and leaves the map entry alone unless it still points to that channel. This also closes the previously orphaned old channel, whose drain goroutine used to leak. The send loop treats a closed channel as an exit instead of a message stream.	2026-08-23 11:36:00 -07:00
Chris LuandGitHub	cf0dba334c	s3api: no filer failover after the callback has consumed part of a response (#10902) ... s3api: no filer failover after fn has consumed part of a response withFilerClientFailover replays fn verbatim on the next filer, so a filer that died mid-stream followed by a healthy peer returned success with the callback's closure-captured accumulator holding the dead filer's prefix twice; the per-attempt accumulator in listWithRetry could not close this, because the replay happens inside a single attempt. Track delivery on the connection handed to fn: once a unary reply or streamed message has reached the callback, surface the transport error unwrapped instead of failing over, and let callers replay from a clean slate. A filer that fails before delivering anything fails over exactly as before.	2026-08-23 11:30:43 -07:00
Chris LuandGitHub	c167af541e	telemetry: confirm a cluster after a week of reports, not two days (#10899) ... * telemetry: sync the server module to go 1.26 The root module moved to go 1.26 but the telemetry server module, which replaces seaweedfs with the repo root, stayed on 1.25.8, so go refuses to build or test it until the directive catches up. * telemetry: confirm a cluster after a week of reports, not two days Two days of history still lets recurring CI and demo clusters into the confirmed fleet: anything torn down and rebuilt across a UTC midnight counts. Requiring seven distinct UTC days keeps the fleet charts and the version/OS distributions to clusters that actually stay up; real clusters qualify after their first week, and the fallback to all active clusters while none is confirmed is unchanged.	2026-08-23 11:14:17 -07:00
Chris LuandGitHub	0f85d005ad	server: 416 only when no requested range overlaps, with Content-Range, and the Rust mirror (#10889) ... * filer, volume server: return 416 when no requested range overlaps the content * seaweed-volume: return 416 when no requested range overlaps the content * server: check the range test error, use the request context, fix the no-overlap comment boundary	2026-08-23 11:13:36 -07:00
Chris LuandGitHub	173adbc291	master: never re-seed a raft cluster over committed state under -raftBootstrap (#10883) ... * master: never re-seed a raft cluster over committed state -raftBootstrap deleted logs.dat, stable.dat and snapshots on every start and then bootstrapped a fresh cluster. Since hashicorp raft only snapshots after 8192 log entries, the TopologyId lives in the log, not in a snapshot, so the pre-wipe snapshot recovery found nothing and each restart minted a new cluster identity. A master that came up while it could not reach its peers seeded a rival cluster; when the two logs met, SetTopologyId's split-brain guard fatally stopped every master holding the other id, and the master layer crash-looped with no quorum. Bootstrapping is genesis. Drop the wipe and the inline bootstrap. The first master in -peers already mints a cluster once it has confirmed no peer has a leader, so the flag has nothing left to do and is now ignored; keeping that one master the sole bootstrap authority is what stops a partition from minting two clusters, so the flag must not widen it either. A master with state rejoins its peers, and one whose data dir was reset is admitted by the sitting leader instead of forking again. * test: cover -raftBootstrap restarts in the multi-master suite Three masters start with -raftBootstrap, the way the helm chart renders it on every master on every roll, and the cluster has to hold one TopologyId after they all restart. /dir/status is proxied to the leader, so each master's own view of the identity is read out of its log, which is where a fork shows up. Before the fix the hashicorp case minted a new id on each restart.	2026-08-23 11:10:20 -07:00
Junker der ProvinzandGitHub	fa3bd5b5a7	mount: use the kernel-resolved node id in Link, not the persisted attribute (#10885) ... * fix(mount): reply to LINK with the kernel node id, not the stored inode Link() answered the kernel with out.NodeId = oldEntry.Attributes.Inode. That attribute is a mount-runtime number and only entries created through a mount carry one. An entry written by the S3 API, WebDAV or a direct filer call persists inode 0, so the LINK reply named node id 0, which the kernel rejects as invalid_nodeid and reports as EIO. The hard link itself had already been written to the filer, which is why it looked correct again after a mount restart. The same stale number was also used as an inodeToPath key. AddPath(0, path) filed the new link under inode 0, so a later Lookup on that name handed the kernel node id 0 as well, and a LOOKUP reply carrying node id 0 means no such entry. in.Oldnodeid is the node id the kernel already holds for the source, and it is the key inodeToPath is indexed by, so use it for the reply, for AddPath and for the sibling sync. Fixes #8404 * test(mount): cover the sibling sync in Link with a third hard link The two existing cases never reach the body of syncHardLinkSiblings: with two links the source alias and the name just created are both in skipPaths, so the loop iterates over nothing and a change to that site goes unnoticed. A third link leaves one name that no other part of Link() writes. The new case drives three links off one source. It guards against covering nothing (it fails if every path turns out to be a skipPath), checks that every name of the file reports nlink 3, and then drives the sync with both candidate keys to pin down which one it has to be: keyed by the source's persisted Attributes.Inode, which is 0 for an entry written outside a mount, GetAllPaths has no path to walk, while the kernel node id reaches the sibling. That second half is driven directly because Link() alone cannot tell the two keys apart. The meta cache keeps one blob per hard link id (FilerStoreWrapper setHardLink/maybeReadHardLink), so a read of any sibling returns the attributes of the last write to any of them whether or not the sync ran.	2026-08-23 10:43:22 -07:00
Junker der ProvinzandGitHub	5ebc9c9f4b	server: reject a Range start offset equal to the file size (#10898)	2026-08-23 08:20:25 -07:00
Chris LuandGitHub	3b10e43d5d	test: wait for volume server registration in the FUSE p2p harness (#10897)	2026-08-23 02:14:50 -07:00
Chris LuandGitHub	9d06f2c378	test: keep per-test log directories in the FUSE DLM harness (#10893)	2026-08-23 01:19:22 -07:00
Chris LuandGitHub	9d4270f118	test: wait for volume server registration in the FUSE DLM harness (#10891)	2026-08-23 00:59:47 -07:00
Chris Lu	3b8931c2f6	admin: address review feedback on the maintenance scanner fix	2026-08-23 00:26:38 -07:00
Chris Lu	8d8a25b1cf	s3api: remove the duplicated listing retry helpers left by overlapping merges	2026-08-23 00:26:02 -07:00
3 people	c58795354a	s3api: retry a transient filer failure on metadata listings (#10890) ... * s3api: retry a transient failure when listing multipart uploads/parts A blip on the way to the filer failed the whole ListMultipartUploads or ListParts request. Both reported failure points sit inside one streaming listing: the ListEntries call that opens the stream, and the stream.Recv calls that drain it. Neither retried, so a single Unavailable answer from a filer that was restarting turned into a 500 for the S3 client. Replay the listing instead, bounded to three attempts with a 100ms backoff that doubles. Only a transient failure is replayed. A not-found answer stays authoritative so the empty-list branch still works, and every other error still reaches the client on the first attempt. This is scoped to (*S3ApiServer).list rather than added inside DoSeaweedListWithSnapshot, which mount, the shell and the other object listings share, and where a retry after a partial stream would re-deliver entries the callback had already seen. Within one call to list, a replay is safe: it collects into a fresh slice each time, so it can neither duplicate nor drop entries. That guarantee does not extend past this function. withFilerClientFailover already re-runs its callback against the next filer on any non-NotFound error without resetting the caller's accumulator, so on a multi-filer gateway a mid-listing failover can itself produce a duplicated result with err == nil, independent of this change and not fixed by it. Noted in the PR rather than silently left for someone to rediscover. Fixes #7221 References #7235 * s3api: move the listing retry inside list itself --------- Co-authored-by: Junker der Provinz <jdp@braethoria.com>	2026-08-22 23:42:33 -07:00
Junker der ProvinzandGitHub	8d2c0273bd	admin: stop the maintenance scanner pinning itself to one scan per second after a transient failure (#10887) ... * admin: honour persisted task configs when building the maintenance policy buildPolicyFromTaskConfigs passed a literal nil to vacuum, erasure_coding and balance LoadConfigFromPersistence. Those functions look for their LoadXTaskPolicy() accessor via a type assertion, which a nil interface can never satisfy, so every call fell through to NewDefaultConfig() and the policy came back with the compiled-in defaults - Enabled: true among them. A task disabled on disk was therefore still scheduled, and the only trace was a glog.V(1) "Using default ... configuration" line. Thread the real ConfigPersistence through instead. There are two copies of this function: the one in weed/admin/dash builds config.Policy on the normal admin startup path and can simply take cp as its receiver, and the one in weed/admin/maintenance is the fallback used when the config carries no policy yet, which now receives the store from NewMaintenanceManager. weed/admin/dash already imports weed/admin/maintenance, so the maintenance side has to keep the duck-typed interface{} parameter that the task loaders already use rather than importing the concrete type back. The store is only handed over when a data directory is configured: an unconfigured one has nothing to read, and a typed nil pointer would pass the loaders' type assertion and then panic on first use. Fixes #10874 * admin: restore the maintenance scan cadence after an error backoff scanLoop shortens its ticker to the error backoff delay after a failed scan, but it decided whether to replace the ticker by comparing the target interval against the configured scan interval instead of against the interval the ticker was actually running at. Once the errors stopped, getScanInterval returned the configured interval again, the comparison came out false, and the ticker was left at the backoff delay - so a single transient scan failure pinned the scanner to one scan per second for the rest of the process lifetime. That is the ~1/second cadence in issue #10874: 658 KB/s of "Cancelled N stale pending balance tasks before re-detection" and 193k orphaned task files over two days. Track the interval the ticker is running at and compare against that, so both entering the backoff and returning to the normal cadence replace the ticker. While in here: - defer ticker.Stop() bound the ticker that was current when the defer was registered, so every replacement ticker leaked on return. Wrap it in a closure. - running was written by Start/Stop and read by all three background loops without synchronisation. Guard it with the existing mutex, fold the running check in triggerScanInternal into the lock it already takes, and make Stop a no-op when not running so a second call cannot close the stop channel twice. Refs #10874 * admin: make the maintenance policy actually reach the task detectors Loading the persisted task configs into the maintenance policy only matters if something reads that policy, and nothing did. MaintenanceIntegration pushes the policy into every registered detector and scheduler through interface{ SetEnabled(bool) } and interface{ SetMaxConcurrent(int) } type assertions. Every task registered through base.RegisterTask is backed by base.GenericDetector and base.GenericScheduler, and neither implemented either method, so all four assertions failed silently for every task on every startup. The policy's enabled flag reached nothing: ScanWithTaskDetectors gates on detector.IsEnabled(), and the queue's policy lookups for max concurrent and repeat interval are fallbacks that only fire when the scheduler reports zero, which the generic scheduler never does. Add the setters, delegating to the TaskConfig.SetEnabled the interface already declares and to TaskDefinition.MaxConcurrent, which is what GetMaxConcurrent returns. Applying the policy required three more fixes, because with the assertions working the policy could now do damage as well as good: - IsTaskEnabled reports false for a task type the policy has no entry for, so applying it unconditionally would have disabled every task the policy does not list. Skip task types with no policy entry: no entry means no opinion, not disabled. - ec_balance was exactly such a task. It is registered like the other three but had no entry in the policy builder and no accessor on ConfigPersistence at all, so its configuration could never be persisted. Add SaveEcBalanceTaskPolicy/LoadEcBalanceTaskPolicy, the task_ec_balance.pb file, the SaveTaskPolicy dispatcher case, and the policy entry. - InitMaintenanceManager ran before loadTaskConfigurationsFromPersistence, which replaces each task's whole config object, so the policy was applied and then immediately thrown away. Swap the order. Both read the same files, so the policy is now the last writer and stays authoritative. MaintenanceManager.UpdateConfig also updated the queue's and the scanner's policy but not the integration's, so a policy changed at runtime never reached the detectors. Add MaintenanceIntegration.SetPolicy and call it. While building the policy, stop hand-copying each task's fields and use the task's own ToTaskPolicy(). The hand-written version was a second definition of every task's policy and had already lost the erasure coding preferred tags and replica placement and the balance IO rate limit. For the same reason, the "nothing persisted yet" branches of LoadVacuumTaskPolicy, LoadErasureCodingTaskPolicy and LoadBalanceTaskPolicy now derive from each task's NewDefaultConfig() instead of a third hand-written copy. Those copies had drifted, so with a data directory but no config file on disk the effective defaults differed from what the task and the admin UI schema both advertise: vacuum scan interval 24h -> 2h balance scan interval 6h -> 30m balance imbalance 0.1 -> 0.2 erasure coding scan interval 168h -> 1h erasure coding fullness 0.90 -> 0.95 erasure coding min volume 1024MB -> 30MB Finally, weed/admin/dash and weed/admin/maintenance each carried a copy of the policy builder and they had already diverged. Export the maintenance one as BuildPolicyFromTaskConfigs and have dash call it. Refs #10874 * worker: warn when a config store cannot supply a task's persisted config LoadConfigFromPersistence logged a single glog.V(1) "Using default X configuration" for every way of not loading anything, so the bug in issue #10874 - a store handed in that the type assertion rejects, leaving a task running on compiled-in defaults - looked exactly like the normal "no data directory configured" case. The reporter had to read the source to work out why their disabled task kept running, and asked for this specifically. Separate the cases. A non-nil store that does not provide the accessor is always a wiring bug and is now logged at warning level, naming the type and the missing method. A read error or a policy that will not apply is also a warning. No persistence configured, and a store with nothing saved yet, stay at V(1): those are normal. Refs #10874 * admin: stop GetTaskPolicy panicking on a maintenance policy that is nil GetTaskPolicy dereferenced its MaintenancePolicy argument to look at TaskPolicies, so IsTaskEnabled, GetMaxConcurrent and GetRepeatInterval all took the admin process down when handed a nil policy. A nil policy is not a programming error here: MaintenanceConfig.Policy is unset until something builds one, DefaultMaintenanceConfig returns a config with no policy at all, and UpdateConfig installs whatever config it is given. Found by calling IsTaskEnabled with the policy from a freshly defaulted MaintenanceConfig. Treat a nil policy as "no entry": no task enabled, the safe concurrency default of 1, and a repeat interval of 0 so callers fall back to their own default instead of reading DefaultRepeatIntervalSeconds off nil. Also add the startup test this was found with. It walks the admin server's startup sequence over a data directory that has balance saved as disabled and checks the state that decides whether issue #10874 happens: the balance detector reports disabled, vacuum stays enabled, and tasks whose config was never saved keep their compiled-in default. Refs #10874 * admin: document the synchronisation SetPolicy would need beyond startup ConfigureTasksFromPolicy now really writes TaskDefinition.Config and TaskDefinition.MaxConcurrent, which the scan loop reads through detector.IsEnabled() with nothing synchronising the two. Every caller runs during admin server startup today, before the scan loop exists, so there is no live race - but the next caller has to add the locking, and the same already applies to UpdateAllConfigs replacing the whole config object. Write it down at the seam instead of leaving it to be rediscovered. Refs #10874	2026-08-22 23:41:45 -07:00
Junker der ProvinzandGitHub	f710b6003a	s3api: retry a transient failure when listing multipart uploads/parts (RFC on layering) (#10886) ... s3api: retry a transient failure when listing multipart uploads/parts A blip on the way to the filer failed the whole ListMultipartUploads or ListParts request. Both reported failure points sit inside one streaming listing: the ListEntries call that opens the stream, and the stream.Recv calls that drain it. Neither retried, so a single Unavailable answer from a filer that was restarting turned into a 500 for the S3 client. Replay the listing instead, bounded to three attempts with a 100ms backoff that doubles. Only a transient failure is replayed. A not-found answer stays authoritative so the empty-list branch still works, and every other error still reaches the client on the first attempt. This is scoped to (*S3ApiServer).list rather than added inside DoSeaweedListWithSnapshot, which mount, the shell and the other object listings share, and where a retry after a partial stream would re-deliver entries the callback had already seen. Within one call to list, a replay is safe: it collects into a fresh slice each time, so it can neither duplicate nor drop entries. That guarantee does not extend past this function. withFilerClientFailover already re-runs its callback against the next filer on any non-NotFound error without resetting the caller's accumulator, so on a multi-filer gateway a mid-listing failover can itself produce a duplicated result with err == nil, independent of this change and not fixed by it. Noted in the PR rather than silently left for someone to rediscover. Fixes #7221 References #7235	2026-08-22 23:00:50 -07:00
Junker der ProvinzandGitHub	f3caf6e7da	admin: count plugin-runtime workers in worker metrics (#10884) ... * admin: count plugin-runtime workers in worker metrics The admin server keeps two worker registries: the legacy maintenance-worker map, filled by workers registering over the worker gRPC stream, and the plugin worker registry, filled by workers started as `weed worker`. Both the SeaweedFS_admin_workers_connected / SeaweedFS_admin_worker_slots gauges and the dashboard's Workers card read only the legacy map, so a cluster that runs the admin and its workers as separate components reported 0 workers even while its workers showed up on the plugin pages and ran scheduled jobs. Aggregate both registries instead. The two are merged by worker ID: `weed mini` starts both runtimes out of one working directory, so they share the persisted worker ID and must not be counted twice. For such a worker the slot numbers still come from the legacy registry, which keeps mini's existing readings. Plugin workers report their slots in the heartbeat, so detection and execution slots are summed from there; a worker that has connected but not yet sent a heartbeat counts as connected with zero slots. Fixes #10525 * admin: clamp negative worker-reported slot values in metrics merge A plugin worker's self-reported heartbeat slot counts are untrusted input; clamp them to 0 before summing so a stale or misbehaving worker can't drive the aggregate gauge negative, matching the same defensiveness already used in registry.go's own slot arithmetic.	2026-08-22 22:54:39 -07:00
4 people	004fc32503	build(deps): bump github.com/moby/go-archive from 0.2.0 to 0.3.0 (#10826) ... Bumps [github.com/moby/go-archive](https://github.com/moby/go-archive) from 0.2.0 to 0.3.0. - [Release notes](https://github.com/moby/go-archive/releases) - [Changelog](https://github.com/moby/go-archive/blob/main/changes_test.go) - [Commits](https://github.com/moby/go-archive/compare/v0.2.0...v0.3.0) --- updated-dependencies: - dependency-name: github.com/moby/go-archive dependency-version: 0.3.0 dependency-type: indirect ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Chris Lu <chrislusf@users.noreply.github.com>	2026-08-22 13:01:07 -07:00
4 people	641fc8b031	admin: add visual iam policy editor (#10878) ... * admin: add visual iam policy editor Add a structured, tabbed editor (Editor / JSON) for creating and editing IAM policies in the admin dashboard, alongside the existing raw-JSON textarea: - policies.templ: per-statement cards for Sid, Effect, Action, and Resource, with unmanaged fields (Principal, NotPrincipal, NotResource, Condition, or anything else) preserved verbatim in a per-statement "advanced fields" JSON box so nothing is lost on round-trip. Switching tabs commits and reparses in both directions. Restored the "Use Sample Policy" button, now filling both the structured editor and the JSON tab. The "Validate" button now calls the existing but previously unused POST /api/object-store/policies/validate endpoint instead of doing JS-only checks. - Progressive Resource ARN autocomplete: suggests bucket names first, then once "bucket/" is typed, suggests bucket/* plus the bucket's direct subfolders, drilling down one path segment at a time as the user types further "/" characters. - New GET /api/files/list-folders endpoint (file_browser_handlers.go) backing the folder autocomplete: wraps the existing file browser data function and returns just the subdirectory names as JSON, scoped to paths under /buckets. - Action-name suggestions (datalist) for the Action field, sourced from the existing s3_constants.S3_ACTION_* constants plus new s3_constants.S3TABLES_ACTION_* constants (extracted from the s3tables operation dispatch switch) so the suggestion list can't drift from the strings the engines actually understand. - policy_handlers.go: ValidatePolicy now accepts a statement with only NotResource set (previously required Resource), matching policy_engine.validateStatement and the fact the new editor makes such statements reachable from the UI. - Tests: ValidatePolicy behavior, route registration for the policy API and the new list-folders endpoint, list-folders path scoping, and the action-suggestion list's shape. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * admin: fix XSS, cache poisoning, and cap overshoot in policy editor Address code review findings on the IAM policy editor added in the previous commit: - policies.templ (displayPolicyDetails): escape every interpolated policy value (Sid, Effect, Action, Resource, policy name, and the raw JSON document) before assigning to innerHTML. Policy documents can come from other admins or an import, so an unescaped field could execute script when the "View" modal renders it. - policies.templ (policyEditorStateToDoc): reject JSON arrays in a statement's "advanced fields" box, not just invalid JSON. `typeof [] === 'object'` was true, so a JSON array was assigned to the statement; subsequent property assignments (Sid, Effect, ...) landed on the array object but JSON.stringify of an array only serializes numeric indices, silently dropping them. - policies.templ (loadPolicyFolderNames): on a failed folder lookup, remove the cache entry instead of permanently caching the empty fallback, so a transient network/server error doesn't block retries for the rest of the page's lifetime. - file_browser_handlers.go (ListFolders): stop appending directory names as soon as the running count reaches maxListFoldersEntries, instead of only checking the cap after a full page is processed, so the returned list never exceeds the configured cap. Regenerated policies_templ.go with the already-stamped templ v0.3.1001 to keep the diff scoped to this file. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * admin: stop policy editor from clobbering the active tab and dropping malformed advanced fields Address two review findings on the IAM policy editor (Issue 3, stored-XSS in displayPolicyDetails, was already fixed by the previous commit and is unchanged here): - createPolicy, updatePolicy, and validatePolicyDocument always committed the structured editor's (possibly stale) state into the JSON textarea before submitting, even when the user had just edited the JSON tab directly. That silently discarded the user's JSON edits and validated/saved the old structured-editor state instead, which could leave broader permissions in force than intended. Added commitPolicyActiveTab(which), which commits whichever tab is currently visible into the other side instead of unconditionally overwriting the JSON tab from the editor: if the JSON tab is active it parses that JSON back into the structured editor (without touching the textarea itself), otherwise it serializes the structured editor into the textarea as before. All three call sites, plus the JSON-tab "show.bs.tab" handler, now use this and abort with an alert if the currently active tab's content can't be committed. - policyEditorStateToDoc silently continued with an empty object when a statement's "advanced fields" box held invalid JSON, so switching tabs, validating, or saving would drop Principal/NotResource/Condition from that statement without telling the user. It now throws (with the statement number and parse error) on invalid or non-object JSON there, and callers surface that via showAlert and abort instead of proceeding. Regenerated policies_templ.go with the already-stamped templ v0.3.1001. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * admin: keep unmanaged top-level policy fields across editor tab switches policyDocToEditorState only carried Version and Statement into editor state, so any other top-level key (e.g. Id) present in the JSON tab was silently rewritten away as soon as the user switched to the Editor tab and back. Capture those keys in state.otherFields and merge them back in policyEditorStateToDoc before Version and Statement are written, so the two tabs stay faithful to each other and the editor never rewrites text the user typed. Note this is editor fidelity only: the admin API's policy_engine.PolicyDocument carries just Version and Statement, and DocumentJSON is never populated, so such fields are still discarded by the server once a policy is saved. Making them survive a save would require a backend change, which is out of scope here. Regenerated policies_templ.go with the already-stamped templ v0.3.1001. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * admin: warn before a policy save discards unsupported top-level fields The editor round-trips unmanaged top-level keys (e.g. Id) between the Editor and JSON tabs, but the admin API's policy_engine.PolicyDocument carries only Version and Statement, so the server drops them on save and the user saw no indication. Added confirmPolicyFieldDiscard(), called from createPolicy and updatePolicy after the active tab is committed (so the field list is accurate whichever tab is showing). It names the fields that will be lost and lets the user confirm or cancel. Not wired into validatePolicyDocument, which doesn't persist anything. Chose the warning over the alternative of persisting these fields through the backend: policy_engine.PolicyDocument is shared by the S3 bucket-policy engine and IAM evaluation, so extending it would change the stored document shape for every policy in the codebase - far beyond the scope of this editor. Regenerated policies_templ.go with the already-stamped templ v0.3.1001. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * admin: reject malformed Effect and Resource/NotResource conflicts in policy editor Two review findings on the IAM policy editor: - policyDocToEditorState defaulted any non-"Deny" Effect (missing, misspelled, wrong case) to "Allow". A statement meant to be "Deny" with a typo like "deny" would silently become a permissive "Allow" instead of being rejected. It now throws on anything but an exact "Allow" or "Deny", naming the offending statement and value. commitPolicyTextareaToEditor catches this the same way it already catches invalid JSON: alert the user and keep the JSON tab active instead of switching to the Editor tab with wrong data. - policyEditorStateToDoc could save a statement with both Resource (from the structured field) and NotResource (surviving in the "advanced fields" extras from before the user switched to using Resource) set at once - a contradictory combination neither the admin's ValidatePolicy handler nor policy_engine's evaluator rejected. When the structured Resource field is non-empty it now deletes any leftover NotResource from extras, consistent with the file's existing rule that structured fields take precedence over extras. Mirrored the existing Principal/NotPrincipal exclusivity check in weed/admin/handlers/policy_handlers.go's ValidatePolicy to reject the same combination server-side, since create/update perform no validation at all. Deliberately left policy_engine.validateStatement (used by the S3 bucket-policy PUT handler for every bucket policy in the product) unchanged - extending that shared validator is a larger, separate change outside this admin-editor fix's scope. Added a handler test for the new Resource+NotResource rejection. Regenerated policies_templ.go with the already-stamped templ v0.3.1001. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * admin: add NotResource support to the visual policy editor Since Resource and NotResource are mutually exclusive (enforced by a previous fix), NotResource could previously only be set through the raw JSON in a statement's "advanced fields" box. Promote it to a first-class mode of the structured editor: - The static "Resources" label is now a Resource/NotResource dropdown; the same list of values underneath is reused for either key depending on the selected mode, with a short form-text explaining the semantics. - NotResource is added to POLICY_STATEMENT_KNOWN_KEYS, since it's now a managed field like Resource rather than something that falls through to extras. - policyDocToEditorState derives resourceMode from which key is present on load, and throws (same handling as the existing malformed-Effect case: alert, keep the JSON tab active) if a hand-edited document has both Resource and NotResource on one statement, since that can't be represented by the dropdown. - policyEditorStateToDoc writes only the key matching the selected mode, replacing the previous one-directional "delete NotResource whenever Resource is set" fix with mode-driven logic that also deletes Resource when NotResource is selected. - displayPolicyDetails (the read-only View modal) now shows the actual NotResource values with a distinct label instead of a static "(NotResource used instead)" placeholder. No backend changes: the server-side "cannot specify both" check added previously in policy_handlers.go's ValidatePolicy already covers this. Regenerated policies_templ.go with the already-stamped templ v0.3.1001. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Eb2a51LciCsyY35sqDoGNe * admin: reject non-object policy documents; catch Principal/NotPrincipal conflicts server-side Two review findings: - policyDocToEditorState treated a top-level JSON value that wasn't an object (null, or a bare string/number/boolean) as an empty statement list instead of failing explicitly. If the user typed e.g. "hello" or 42 in the JSON tab and switched to the Editor tab, their input was silently discarded and replaced with an empty policy - the same class of "guess instead of reject" bug fixed for malformed Effect and Resource/NotResource conflicts previously. Added an explicit check that throws for null/scalar input, while leaving array and object document shapes accepted exactly as before. - weed/admin/handlers/policy_handlers.go's ValidatePolicy checked the Resource/NotResource conflict by non-empty length (len(...Strings()) > 0), which misses a statement where Resource is explicitly present but an empty list (e.g. "Resource": []) alongside a non-empty NotResource. Switched that check to field presence (!= nil), matching how policy_engine's own validateStatement already treats Principal/NotPrincipal exclusivity. Also added the equivalent Principal/NotPrincipal presence check to this handler, which had none before - the advanced-fields box in the visual editor lets a user set both today, and nothing server-side caught it. The existing non-empty "Resource or NotResource is required" check is left as a length check, since an empty array shouldn't count as "provided". Added test cases for both conflict checks in policy_handlers_test.go. Regenerated policies_templ.go with the already-stamped templ v0.3.1001. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Eb2a51LciCsyY35sqDoGNe * admin: add Principal/NotPrincipal support to the visual policy editor (v1, AWS-only) Adds a first, deliberately narrow structured editor for a statement's Principal/NotPrincipal, left out when NotResource support was added: - A Principal/NotPrincipal mode dropdown mirrors the existing Resource/NotResource one (same mutual-exclusivity handling: the two fields can't be set at once, and switching modes reuses the same value list). - A simple repeatable text-value list feeds a single {"AWS": [...]} object on save - always the AWS type, never the "bare" (untyped) SeaweedFS-extension shape. Per policy_engine's allowedPrincipalKeys, Service/Federated/CanonicalUser also parse successfully, but nothing in the S3 bucket-policy evaluation path ever sets a real caller's principal to a service name, an OIDC provider ARN, or a canonical user ID, so only AWS is functionally meaningful today - out of scope for this v1. - On load, only the exact {"AWS": ...} single-key shape is unwrapped into the structured field and removed from "extras". Anything else (bare string/array, a different single type key, or several type keys at once) is left untouched in "extras" exactly as before, with a visible warning under the dropdown so the user knows a Principal/NotPrincipal exists but isn't shown there. Saving with the structured field left empty never touches whatever's already in extras, so a preserved complex form isn't silently dropped just because the user didn't touch this field. - The read-only View modal now displays Principal/NotPrincipal for any shape (via a small generic summarizer), not just the AWS-simple one. - Generalized the action/resource field-to-state-key mapping (used by commitPolicyEditorForm and the add/remove-item click handler) into a shared lookup table instead of stacking another ternary, now that a third field (principal) exists. Regenerated policies_templ.go with the already-stamped templ v0.3.1001. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Eb2a51LciCsyY35sqDoGNe * admin: support the bare "*" wildcard Principal in the visual editor "Principal": "*" (and NotPrincipal: "*") is the standard AWS shorthand for "everyone" and is common in real bucket policies, but the v1 Principal/NotPrincipal editor only recognized the {"AWS": ...} object form, leaving a bare "*" statement's principal hidden in Advanced fields. parseSimpleAwsPrincipal now also accepts the bare string "*" as a simple, structurally-editable value. On save, a principal value list containing exactly ["*"] is written back as the bare "*" string (matching the common convention) rather than wrapped as {"AWS": "*"}; anything else still wraps under AWS as before. Updated the field's form-text hint accordingly. Regenerated policies_templ.go with the already-stamped templ v0.3.1001. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Eb2a51LciCsyY35sqDoGNe * admin: add Principal field autocomplete backed by users + IAM roles Adds a datalist-backed autocomplete for the policy editor's Principal/ NotPrincipal text fields, sourced from a new API listing existing identities: - weed/admin/dash/principal_suggestions.go: AdminServer.GetPrincipalSuggestions combines S3 user ARNs (via the existing GetObjectStoreUsers + iam.UserArn) with IAM role ARNs (via integration.NewFilerRoleStore / ListRoles, reusing the exact same construction already used in iam_manager.go - no new dependency risk introduced). Role ARNs are reconstructed from the role name using SeaweedFS's default arn:aws:iam::role/<name> convention rather than fetching each role's stored definition, since this only backs a suggestion list. Role listing failures are logged and swallowed rather than failing the whole request - an incomplete suggestion list is fine, blocking policy editing over it is not. Service accounts are deliberately not listed separately: a service account's ARN is identical to its parent user's, already covered by the user list. - weed/admin/handlers/policy_handlers.go: GetPrincipalSuggestions handler exposing this as {"principals": [...]}. - Route registered at the API root (GET /api/principals) rather than under policyApi's "/object-store/policies" prefix, since that subrouter's existing "/{name}" GET route would shadow any single-segment GET route registered after it (the same class of gotcha previously seen with "/validate"). - weed/admin/view/app/policies.templ: a shared, lazily-fetched-once policyPrincipalSuggestions datalist (flat list - unlike the progressive per-folder Resource ARN autocomplete, users/roles aren't hierarchical), wired into policyListRowHtml for field:"principal" and populated on input/focus, with "*" always offered first. Added tests for the new ARN-construction helper and route registration. Regenerated policies_templ.go with the already-stamped templ v0.3.1001. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Eb2a51LciCsyY35sqDoGNe * admin: fix fieldset/legend styling in the structured policy editor Bootstrap's form reset stretches <legend> to the fieldset's full width (float: left; width: 100%), which loses the native "notch in the border" look and makes each section's label bar as wide as the card. Add two scoped classes: .policy-stmt-fieldset (border, rounded corners, spacing between sections) and .policy-stmt-legend (undoes the float/width so the legend hugs its content, with a little padding). Applied to the three per-statement sections (Actions, Resource/NotResource, Principal/NotPrincipal), replacing the ad hoc "border rounded" utility classes that were doubling up with the fieldset's own border. Also gave the "Advanced fields" <details> a small top margin to match the new spacing. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Eb2a51LciCsyY35sqDoGNe * admin: suggest bucket/* alongside the bucket itself in Resource autocomplete At the bucket-name stage of the Resource field's progressive autocomplete, only "arn:aws:s3:::bucket" was offered. Add "arn:aws:s3:::bucket/*" right alongside it, since granting access to everything in a bucket is the more common case and previously required typing a "/" first to reach the folder-level "*" suggestion. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Eb2a51LciCsyY35sqDoGNe * admin: keep an unparseable policy in the JSON tab instead of wiping it editPolicy() built the structured state inside the fetch .then, so a policy the editor cannot model threw into the sibling .catch, which alerted and called hide(). Showing the alert at that moment left the modal on screen with an empty editor and the document only in the JSON tab, and Save Changes then serialized the empty state over the policy. Reachable two ways, since neither create path rejects these: the admin API never validates on create, so "Effect":"allow" is stored as typed, and policy_engine.validateStatement lets Resource and NotResource sit in the same statement. Hand the document to the JSON tab instead, which is what that tab is for, and mark the state so nothing serializes the placeholder over it. * admin: validate a policy document before saving it Validation was wired only to the Validate button, so nothing stopped a document the server's own validator rejects from being stored. With the structured editor supplying the boilerplate and required dropped from the textarea, opening the modal, typing a name and clicking Create Policy was enough to save a statement-less policy. Share validatePolicyJSON with the two save paths and abort on failure. * admin: bound the folder autocomplete listing maxListFoldersEntries caps the folders collected, but nothing capped the entries paged through to find them, so a bucket holding only flat object keys - no subfolders to count - was walked to the end, 200 entries per round trip, behind one keystroke. Measured against an in-process filer: 6 entries 0.5ms, 3k entries 7.7ms, 30k entries 53ms, all of it linear in the directory rather than in the answer. Cap the scan as well, and let GetFileBrowser take a prefix so the segment the user is still typing is filtered by the filer instead of by paging. The same 30k directory now answers in 0.6ms once a prefix is typed. * admin: clean the path before scoping list-folders to /buckets util.CleanWindowsPath only rewrites backslashes, so "/buckets/../etc" walked straight past the prefix check the endpoint relies on for its scope. Nothing leaked - filer paths are literal keys, so the traversal resolved to nothing - but the check reads as a boundary and wasn't one, and the test asserting it didn't cover the one input that would try. validateAndCleanFilePath in the same file already does this. * admin: stringify policy values before escaping them escapeHtml calls text.replace directly, and the Sid, the per-item action and resource inputs, and the View modal's Resource/NotResource all pass values straight out of JSON.parse. A policy carrying "Sid": 5 or "Action": [1] threw "text.replace is not a function" and took the render with it. escapedJoin already coerced; use it everywhere and coerce the editor state at the point it's built. * admin: only show the NotResource hint in NotResource mode The hint rendered unconditionally, so it sat under a selector reading "Resource" telling the user the statement applies to everything except what they'd listed. Redraw the card when the selector changes so it follows the mode. --------- Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com> Co-authored-by: Chris Lu <chris.lu@gmail.com>	2026-08-22 12:33:08 -07:00
Chris LuandGitHub	228500fe37	install.sh: install the Rust maintenance worker (#10882) ... * install.sh: install the Rust maintenance worker The release publishes weed-worker but the installer only knew weed and the Rust volume server, so the one binary that cannot be built without a Rust toolchain was the one you had to download by hand. --component all skips it on a platform it has no build for rather than failing an install that already put two binaries in place; asking for it by name there still says so. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * install.sh: clean each component's temp directory as it finishes The EXIT trap is per-process, so installing more than one component left every extraction but the last behind. Cleaning at the end of the function keeps the trap for the paths that exit early. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm	2026-08-22 12:16:28 -07:00
Chris LuandGitHub	7ebf2ebac3	Build the Rust worker against the protoc that ships with the build (#10881) ... * worker: compile plugin.proto with the protoc that ships with the build seaweed-volume already does this: protoc-bin-vendored carries the binary, so the build needs no package manager and every build sees the same version. An explicit PROTOC still wins, which is what lets the lance crates - whose own build scripts read the same variable - share it. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * ci: point the worker builds at the vendored protoc The jobs installed protobuf-compiler for lance's build scripts. They read PROTOC, so pointing it at the binary protoc-bin-vendored already puts in the registry serves them without a system package - one less apt call on the way to a release, and the same protoc a developer's build uses. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * docs: say what the worker build needs from protoc The lance crates' build scripts are the ones that need it, not ours, and they take the same vendored binary. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm	2026-08-22 11:34:33 -07:00
Chris LuandGitHub	cc8364a03e	Ship the Rust maintenance worker with the release (#10879) ... * worker: name the binary weed-worker It is the Rust side of `weed worker`, the way weed-volume is the Rust side of `weed volume`, and lance is the first family of jobs it carries rather than the only one it ever will. The crate keeps its own name: when a second family arrives the bin target moves to a crate of its own, under this name. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * docker: ship the Rust maintenance worker in the image Lance table buckets need a worker that can read the format, and until now the only way to get one was a Rust toolchain and a cargo build. It now sits at /usr/bin/weed-worker beside the Rust volume server, reached as `docker run chrislusf/seaweedfs worker-rust --admin host:23646` — the verb mirrors volume-rust, so plain `worker` still runs the Go one. Taken pre-built or not at all: the lance jobs pull in arrow and datafusion, far too large a tree to compile inside the image build, so an architecture CI did not build for gets the empty placeholder the entrypoint refuses to exec, the way the Rust volume server already does. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * ci: build the Rust worker for the container images The same native cross-compile the volume server uses, so the release, latest and dev images all carry it on amd64 and arm64. The artifact holds both binaries now, so it is named for that rather than for the volume server. Only the release directory each job builds is cached: with a debug profile beside it the worker's target/ reaches 24GB, against a 10GB cache budget. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * ci: publish Rust worker binaries with the release Linux amd64 and arm64 only: the worker runs beside the cluster it maintains, and its dependency tree makes every extra target an expensive build. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * ci: build and test the Rust workers on change Nothing built seaweed-worker in CI, so the release and the container images would have been the first place a break showed up. Tests run in release too, rather than compiling lance, arrow and datafusion again in another profile. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * docs: say how to get a released worker Neither the image nor the release tarballs were mentioned; a toolchain and a cargo build read as the only way in. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * ci: install protoc for the Rust worker builds lance's crates compile their own protos, and unlike seaweed-volume they do not vendor a protoc to do it with, so every job that builds the worker failed at lance-encoding's build script. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * ci: do not persist credentials in the worker release checkout The upload step is handed a token explicitly; a cargo build script should not find another one sitting in the checkout's git config. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * docker: keep the worker's argument boundaries Unquoted $@ splits on whitespace and expands globs, so an argument carrying either arrived as something else. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm	2026-08-22 10:22:33 -07:00
Chris LuandGitHub	c3f4d799b5	helm: install chart CI against an image tag that exists (#10877) ... * helm: install chart CI against an image tag that exists The release bumps appVersion on master well before the container build publishes that tag, and the chart CI runs on the bump commit, so every release turns it red with ImagePullBackOff. Resolve the tag first and fall back to latest while the new one is still building. * helm: run the chart CI when the workflow itself changes * helm: bound the registry lookup in the chart CI An unbounded curl can hold the job, and the log did not say why the tag was rejected. Cap it and print the status.	2026-08-22 09:42:28 -07:00
github-actions[bot]	3563738699	4.44 4.44	2026-08-22 07:41:01 +00:00
Chris LuandGitHub	c1a993bc3b	filer: keep the TUS sub-chunks that already landed when a write fails (#10876) ... * filer: keep the TUS sub-chunks that already landed when a write fails A PATCH is split into 4MB sub-chunks, and each one is recorded in the session as soon as it is stored. The session listing is what HEAD reports as Upload-Offset and what the final entry is assembled from, so a record is a promise that the data behind it exists. When a later sub-chunk failed - a read-only volume, or a client that hung up mid-body - the error path deleted the needles of every sub-chunk the same PATCH had written but left their records in place. The resuming client was then told to continue past bytes the filer had just queued for deletion, and the upload completed into a gapless manifest pointing at needles that were gone: HEAD returned the right size, GET died mid-body once a vacuum reclaimed them. Recorded sub-chunks now stay, which is what resumption expects: the client picks up at the offset the session reports, and an upload that is abandoned frees its chunks with the session. * filer: drop a TUS chunk's record before freeing its data filer.CreateEntry can return an error with the entry already inserted - the parent-directory pass runs after the insert and keeps the entry when it fails. A failed saveTusChunk therefore does not mean the record is absent, and deleting the needle outright left the same corruption the resume path used to cause: a session record pointing at data that is gone. Remove the record first and only free the needle once it is gone. A record lost with its data still stored merely leaks, which the vacuum and fsck paths already account for. * test: cover a TUS PATCH that is cut off mid-body Resets the connection after one 4MB sub-chunk has landed, resumes from the offset the session reports, and vacuums before reading the file back, so anything the filer deleted behind a kept record shows up as a short read.	2026-08-22 00:30:14 -07:00
Chris LuandGitHub	34bb444f33	test: drive the Lance namespace with Spark (#10864) ... * test: drive the Lance namespace with Spark The counterpart of catalog_spark, which does this for the Iceberg REST catalog. Spark is the engine most likely to be pointed at a lakehouse, and it reaches the Lance catalog through the connector's DSV2 catalog - org.lance.spark.LanceNamespaceSparkCatalog with impl=rest - over the same routes every other client uses. SHOW NAMESPACES -> ['`sparklance-lcephd80`.ml'] SHOW TABLES -> ['sparklance-lcephd80$ml$embeddings'] count -> 3 filtered -> [(2, 'two'), (3, 'three')] count after a second commit -> 4 The second insert is there on purpose: a store that cannot order commits fails on the second one, not the first. Two things the run settled that were guesses beforehand. CREATE TABLE works, because the connector declares through the namespace and writes the data itself rather than pushing Arrow at the server. And SHOW TABLES returns the namespace's own identifiers - bucket, namespace and name joined by the delimiter - not bare Spark table names. Credentials go under the catalog's storage.* prefix, which is handed to lance as object_store options; a gateway without STS vends none, the same trap the LanceDB suite documents. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: verify the Lance table bucket was actually created weed shell prints a command's own failure and still exits 0, so the harness would go on to blame Spark for a bucket that was never made. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: bound the Docker probe An unhealthy daemon makes docker version hang, and the probe runs before the test has a timeout of its own. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: keep the ivy cache under the user's cache directory It is mounted into a container running as root, so a shared temp path lets another local user pre-create it and choose what Spark loads. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: assert the vector column's type, not only its name A column that came back as array<double> or array<string> would still be called vector and still pass. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: read the dataset off its location for real The catalog being optional is the property that lets duckdb and pandas read these tables; it was asserted in a comment and printed, never exercised. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: do not persist credentials in the Spark Lance checkout The job only uploads a log on failure; nothing in it pushes. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: say the hosts in the README are placeholders The suite passes dynamically allocated host.docker.internal ports. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm	2026-08-21 23:49:09 -07:00
Chris LuandGitHub	4af6798639	helm: render the mysql secret and env only for the mysql filer store (#10872) ... The db credential secret and the filer's WEED_MYSQL_* env were gated on filer.enabled alone, so a filer on mongodb, redis, postgres or leveldb2 got a generated mysql secret it never reads - kept forever by resource-policy: keep - plus a mysql-db-host pointing nowhere. Gate all of it on WEED_MYSQL_ENABLED, which is how the store is selected, plain keys and secret-backed ones alike. An enable flag the chart cannot read - a valueFrom, or one in secretExtraEnvironmentVars - counts as selected, so nothing is dropped from a filer that is actually on mysql.	2026-08-21 23:43:56 -07:00
4 people	df93d01c06	admin: add bucket lifecycle rule editing (#10860) ... * admin: add bucket lifecycle rule editing * address greptile's comments * more small fixes * coderabbit's comments * more comment fixes * more fixes * more * maybe last * last ? * 14850 * 14851 * filer: stamp the content MD5 on every SaveInsideFiler write An entry's ETag falls back to Attributes.Md5, so conditional writers key IF_ETAG_MATCH off it. SaveInsideFiler carried the looked-up attributes forward without refreshing the hash, leaving it describing whatever the previous writer stored: a later conditional write matched the stale hash and overwrote content that had already changed. * s3api: give the bucket lifecycle constants and the write route key one definition each The extended-attribute keys, the XML size cap and the object-write ring key prefix were each spelled out in two places, so the admin dashboard's copies could drift from the gateway's. Move them to the packages both sides already import and alias them where the short local name reads better. * admin: patch the bucket entry's lifecycle keys instead of rewriting the entry The save read the bucket entry, edited its extended map and wrote the whole entry back, guarded by IF_UNMODIFIED_SINCE. Nothing that writes a bucket entry advances its mtime - not the S3 gateway's patchBucketEntry, not SetBucketOwner, not SetBucketQuota - so the guard never fired and the stale snapshot reverted whatever else had changed since the lookup. Send the PATCH_EXTENDED mutation the S3 gateway already uses for these keys: the filer re-reads and merges under the bucket path lock, so only the two lifecycle keys move. That removes the reason for the mtime snapshot, the verification retry loop and the compensating restore of the cleared day-TTL rules, which the migration now logs instead. * s3api: run the delete-lifecycle day-TTL migration through the shared helper DeleteBucketLifecycleHandler kept its own copy of the read-strip-write sequence the put handler now shares, including a missing return that let a ToText failure persist a truncated filer.conf and write a second response. It also wrote the whole file back unconditionally, reverting any concurrent edit; the shared helper writes conditionally. * admin: answer 404 when a lifecycle request names a bucket that does not exist Every SetBucketLifecycle failure came back as 500, including the lookup miss for an unknown bucket, so a client or monitor read a caller error as a server fault and retried it. * s3api: emit lifecycle XML a client would recognize Two changes to what MarshalCanonical writes, both visible through GetBucketLifecycleConfiguration, which replays the stored bytes verbatim: stamp the S3 namespace on the root, and put a size range under <And>. A <Filter> carries one predicate, so two size bounds side by side is a shape AWS does not document. Parsing still accepts either. * admin: fix the lifecycle editor's handling of stored status, deletes and empty saves Four things the editor got wrong: A stored <Status> the S3 API never validated, say 'enabled', left both radio buttons unchecked, so reading the form threw on a null querySelector result and Save did nothing. Collapse anything but an exact 'Enabled' to 'Disabled', which is what the engine already does with it. Deleting a rule re-rendered an open edit form from the snapshot taken when editing began, discarding what had been typed; every other transition folds the form in first. The Transition warning only matched a bare <Transition>, missing the form with attributes, self-closed or namespace-prefixed. Saving an emptied rule list clears the configuration through a path with no prompt, next to a Delete-all-rules button that asks. Also collapses the three divergent copies of formatBytes on this page to one. * filer: stop the day-TTL migration from deleting an operator's path rule The migration removed every rule under the bucket's path that carried a day TTL in the bucket's collection. The add path it is retiring used AddLocationConf, which merged its TTL onto whatever already sat at the prefix, so a rule can hold operator settings the lifecycle path never wrote - a disk type, WORM retention, a read-only flag, a placement pin. Deleting the whole rule to retire its TTL took those with it, leaving objects under that prefix on defaults nobody asked for. Delete only rules shaped like ones the add path created from scratch; anything else keeps its settings and loses just the TTL. --------- Co-authored-by: Chris Lu <chris.lu@gmail.com> Co-authored-by: Chris Lu <chrislusf@users.noreply.github.com>	2026-08-21 23:42:26 -07:00
Chris LuandGitHub	301d83cc7a	test: wait for the master to register the volume servers before failover tests run (#10871) ... The failover harness treated an open volume server port as readiness, but the master only learns of a volume server from its heartbeat. A lone master refuses heartbeats until its bootstrap check elects it, and the servers back off and retry, so registration lands seconds after the ports answer. Tests that started writing in that window assigned against an empty topology, which fails with "no free volumes left" and reaches the mount as ENOSPC.	2026-08-21 23:05:14 -07:00
Chris LuandGitHub	c0a9b110dd	volume: stop reporting read-only volumes that are no longer here (#10867) ... * volume: clear per-collection metrics when a collection leaves a server The read-only and disk size gauges are only ever set for collections the heartbeat still finds here, and nothing zeroes the rest. volume.balance marks a volume read-only to move it, so the last heartbeat that saw it counts it read-only - and if it was the collection's last volume on that server, that count stands until the process restarts. The dashboard then shows read-only volumes that volume.list -readonly cannot find anywhere. Remember what each heartbeat set, and drop what is gone on the next one. * volume: stop the read-only volume count from wrapping at 256 The per-collection counters were uint8, so a server holding 256 read-only volumes of one collection reported zero of them. * volume: read the read-only flags once when counting them The heartbeat asked IsReadOnly for the verdict and then read noWriteOrDelete and noWriteCanDelete straight off the volume, unlocked, so the reasons could disagree with the verdict they were explaining. Take them together, under one lock. The location is now nil-checked rather than skipped by short-circuit evaluation, so a volume that has not joined a disk location yet stays safe. * volume: let only a surviving volume keep its collection reported A volume being deleted for expiry still made an entry in the read-only counts, which is what the cleanup reads as "this collection is still here". The collection's last volume could go and its series would stand for one more heartbeat. Count the survivors only. * volume: size a collection from the volumes it still has The size totals are rebuilt from scratch every heartbeat, so subtracting a volume that is about to be deleted took the surviving volumes' sizes down with it: a collection keeping a small volume and losing a larger one reported the difference, or lost its entry and kept the previous heartbeat's number. * volume: cover the deleted bytes total in the surviving volume test Deleted bytes are totalled the same way as sizes and were going unchecked, so the test now leaves deleted needles on both volumes and pins that gauge too.	2026-08-21 22:33:01 -07:00
Chris LuandGitHub	96304b6870	S3: source config credentials from the environment, and let the chart point at an existing secret (#10868) ... * s3: resolve ${VAR} in static config credentials from the environment A deployment that keeps its S3 keys in a secret store had no way to hand them to the gateway: -config takes a file, so the keys had to be written into that file. Let a key in the static config name an environment variable instead, and drop any credential whose reference stays unset so the placeholder never becomes a usable key. * helm: source the generated s3 identities from an existing secret The only way to reuse credentials that already live in a Secret was to hand-author the whole seaweedfs_s3_config JSON, since the literal keys in values.yaml end up in git and a lookup-based keyRef renders empty under helm template and Argo CD. Let s3.credentials.admin/read name a Secret and its keys instead: the generated config references them as ${VAR} and the gateway resolves them from the environment, so nothing is read from the cluster at render time. * s3: treat an empty environment value as an unresolved credential reference A secret store can hand over a key that exists but is blank. Resolving it would leave an access key whose signing secret is empty, so count it as unresolved and drop the credential. * helm: render the s3 secret when only the all-in-one auth flag is set The all-in-one deployment mounts the s3 secret whenever any of the three enableAuth flags is set, but the secret itself only rendered for the s3 and filer flags, so allInOne.s3.enableAuth on its own left the pod waiting on a secret nothing creates. * helm ci: check the credential wiring on every workload that mounts it The render check only looked at the standalone s3 deployment and only at one of the four variables, so a helper that bound a variable to the wrong secret key would still pass. * helm: create the all-in-one s3 secret for every flag that mounts it The all-in-one pod mounts the secret on any of the three enableAuth flags, so keying its creation off allInOne.s3.enableAuth alone still left filer.s3.enableAuth without filer.s3.enabled pointing at a secret nothing creates. Mirror the deployment's own condition instead, and check each flag renders both the mount and the secret. * s3: reject a malformed credential reference instead of keying on it A typo such as ${MY-VAR} matches no substitution, so it survived expansion and the placeholder itself became the access key the gateway accepted. Require every ${ in a static credential to open a well-formed reference.	2026-08-21 22:32:47 -07:00
Chris LuandGitHub	480795d40d	release: cut the whole release from the version bump workflow (#10870) ... * release: cut the whole release from the version bump workflow The bump workflow stopped after pushing the version commit, and the rest was manual: create the release, then run "Prepare release" in the csi-driver and the operator. It now pushes the tag itself, which is what starts the binary, container and helm workflows, creates the release with generated notes, and dispatches the other two repositories, waiting for both. Pushing the tag and reaching the other repositories both need RELEASE_PAT; GITHUB_TOKEN raises no events that start workflows. * release: tighten the release workflow after review Check out master explicitly: a dispatch can select any branch, and the tag, the commit and the release would then come off that branch while the downstream job dispatches master. Scope contents:write to the job that pushes; the downstream job talks to the other repositories with RELEASE_PAT and needs nothing here. Wait for the module proxy to serve the release commit as the tip before dispatching, instead of priming it and hoping. The dispatched workflows pin seaweedfs with `go get -u ...@latest`, so a stale tip means they release against a pre-release commit, silently. Identify the dispatched run by diffing the run list against the snapshot taken before dispatching, rather than assuming the newest run is ours. * release: wait on the downstream release, not on the run that makes it A dispatched run cannot be told apart from a concurrent one: the API does not report the inputs a run was dispatched with, so watching "the run that appeared after mine" can watch someone else's and report their result as ours. Wait for a release to appear in the downstream repository instead. That is the thing being waited for, and it holds however many runs are in flight.	2026-08-21 22:19:58 -07:00
Chris LuandGitHub	5e7ab43ddd	test: read Lance tables from DuckDB (#10866) ... * test: read Lance tables from DuckDB The LanceDB and Spark suites go through the catalog. DuckDB does not: its lance extension reaches the data over S3 with no namespace involved, which exercises the other half of the design - a table bucket's layout is a valid Lance dataset directory, so a table stays readable when the catalog is not in the path. scan_rows=128 scan_columns=id,title,vector filtered_rows=5 nearest=1,0,2 It also pins the one place the layout costs us. DuckDB's replacement scan recognises a dataset by a .lance path suffix, and tables created through this catalog deliberately have none: the catalog entry is the dataset directory, a table name may not contain a dot, and a suffix would leak into ARNs and policies. So __lance_scan is the way in, and the bare SELECT ... FROM 's3://...' form does not see these tables. The test asserts both halves - a suffixed path is read, a suffix-less one is not - so if the extension ever recognises a bare directory, it fails and says to update the documentation rather than leaving it wrong. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: require the catalog error from the suffix-less read Any failure satisfied the old check - a missing extension, bad credentials, an unreachable endpoint - so the assertion could pass without the replacement scan ever classifying the path. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: verify the Lance table bucket was actually created weed shell prints a command's own failure and still exits 0, so the harness would go on to blame DuckDB for a bucket that was never made. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: bound the Docker probe An unhealthy daemon makes docker version hang, and the probe runs before the test has a timeout of its own. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: order the aggregates the assertions read string_agg over an unordered relation may return the names, and the vector search's ids, in any order, so the expectations could fail on a run where nothing changed. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: do not persist credentials in the DuckDB Lance checkout The job only uploads a log on failure; nothing in it pushes. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm	2026-08-21 15:22:38 -07:00
Chris LuandGitHub	35d53a20f6	master: let the leader admit a master that starts with no raft state (#10865) ... * master: answer with the leader raft already knows Topo.Leader() backs off for up to 20 seconds waiting for an election. Callers that a health probe or a client is blocked on cannot afford that: /cluster/status, /cluster/healthz and /readyz all sit past the probe timeout of both the helm chart and the operator, so a master that is still joining looks dead rather than joining, and the kubelet restarts it. informNewLeader and SendHeartbeat hold the client on a master that cannot serve it, exactly when it should move on to find the one that can. Answer these from MaybeLeader instead, which reports what raft knows right now. MaybeLeader takes over the "am I the leader myself" fallback that Leader() used to apply on top of it, so one non-blocking call is still correct; Leader() keeps the backoff for callers that must wait. * master: let the leader admit a master that starts with no raft state Neither raft implementation lets a server outside the configuration campaign: goraft's promotable() requires a non-empty log, and hashicorp rejects vote requests from a candidate that is not in its configuration. A master that comes up with fresh state therefore cannot elect itself in — the leader has to pull it in. Nothing did. The peer list is static, rendered from the replica count, so scaling it up leaves the sitting leader running the old list with no idea the new masters exist. Under goraft they wait forever. Under hashicorp they are worse off: each bootstraps a cluster of its own from the new list, and two of them form a quorum next to the live leader, with their own TopologyId. That is the split brain SetTopologyId kills a master over. Admit the peer where it registers instead. Only the leader gets past the IsLeader check in KeepConnected, and a joining master's client lands there, so that is the moment it joins. The broadcast OnPeerUpdate rides on is not enough on its own: it only reaches masters already connected, which is why a leader that came up first missed both newcomers. RaftAddServer grew a goraft branch on the way, so cluster.raft.add stops silently doing nothing on the default raft, and RaftRemoveServer with it. Bootstrapping is now one call for both implementations, made only after the peers confirm nobody has a leader, and retried until this master is in rather than checked once and dropped. * master: do not evict a peer that is still in -peers The hashicorp leader drops a master from the raft configuration as soon as it stops answering pings. A master that is merely restarting answers nothing, so an ordinary bounce shrinks the quorum behind the operator's back — and then races its own return: the master comes back, registers, gets re-admitted, and the eviction lands after it. A randomized start/stop walk lands on it. Two of three masters running, the leader evicts the one that just went down, the restart re-adds it, the removal commits late and takes the leader's own leadership with it. What is left is a two-server configuration whose other half is down, and a running master that nobody will ask for a vote — no quorum, no way back until the third master returns. -peers is what declares membership. updatePeers already reconciles the configuration against it on every leadership change, and an operator who really means to drop a master can say so with cluster.raft.remove, so keep the eviction for masters that are no longer listed at all. * test: bounce masters at random and hold the election to it Twelve rounds of stopping or starting a random master, on both raft implementations, checking the two things an election must never get wrong: two masters claiming leadership at once, and a quorum that comes back without agreeing on one. The cluster's identity has to survive the whole walk, since a master that re-mints a TopologyId is the split brain SetTopologyId kills its peers over. The seed is random and logged, so a failure names the walk that reproduces it. Below a quorum the walk moves straight on. A master that has lost its quorum cannot commit anything, and goraft only checks whether it still has one on an election-timeout ticker, after its peers have been quiet for a full timeout — measured taking over 30 seconds to step down. That direction belongs to TestTwoMastersDownAndRestart, which was giving it ten seconds and would have started failing on a slower machine; it now waits on that behaviour explicitly rather than sleeping twice and hoping. WaitForTopologyId returns the id it waited for. Reading it separately raced the leader applying the raft entry that carries it, which shows up as an empty id right after an election rather than as a wrong one.	2026-08-21 15:22:22 -07:00
Chris LuandGitHub	0c95137528	filer: stop aggregated metadata subscribers from spinning on a peer watermark hold (#10863) ... * fix(filer): stop logging a held aggregated read as an error An aggregated subscriber may not read past the peers' low-watermark, and it stops at the first entry beyond it by returning a sentinel from the read callback. LoopProcessLogData logs every callback error, so on a cluster that keeps writing - where there is almost always an entry newer than the watermark - every read wrote an ERROR line naming the entry it stopped at, thousands per minute per filer. Mark the stop as control flow: an error wrapping StopReadingError is handed back to the caller unlogged, and the held-read sentinel wraps it. * fix(filer): release an aggregated watermark hold on peer progress A held read waited on the aggregated buffer's data channel, which the next write signalled - but a write cannot release a hold, only a peer reporting further progress can. On a cluster that keeps writing the loop therefore re-ran a whole pass per arriving event, log file listing and all, and held again on the same entry every time. Signal held readers from the meta aggregator instead, whenever a low-watermark rises: a peer reporting, or one dropped past its removal grace. The retry interval stays as the backstop for what no watermark covers. Count the holds so a parked subscriber stays visible. * fix(filer): floor how often an aggregated watermark hold releases Peers advance their delivery watermark on every event they stream, so releasing a hold on every advance is the same pass-per-event storm as releasing on every write, just without the log lines - and each pass lists a day of log files. Floor the release at 20ms. Advances inside the floor collapse into one release, which then delivers everything they covered. * fix(filer): pace a peer's delivery claim by what its subscribers hold at A filer's local metadata stream carries an idle heartbeat to its peer aggregators, and each peer turns it into that filer's delivery low-watermark. Aggregated subscribers hold at the minimum across peers, so a filer quiet enough to fall back on the heartbeat parked every subscriber in the cluster up to a keepalive interval - 5 seconds - behind live writes. With nine filers, most of them quiet at any moment, the minimum sat there permanently. Pace that heartbeat at 200ms once the filer has peers. It stays a keepalive, at the keepalive interval, for a filer with none. * fix(filer): wake each aggregated hold on its own watermark A persisted-log read is held by what the peers have flushed, an in-memory read by what they have delivered, but both parked on one channel closed whenever either minimum rose. Peers advance their delivery watermark on every event they stream, so a flush-held reader woke at the coalescing floor to re-list a day of log files and park again on the same entry - the storm this set out to fix, in the one place asymmetric peer progress still reached. Signal the two separately and park each read on the one that bounds it.	2026-08-21 15:22:05 -07:00
Chris LuandGitHub	0dfaa103d0	test: take a table through its whole life, for Iceberg and Lance (#10862) ... * lance worker: share the integration tests' scaffolding The recorder that keeps what a handler sent, the config builder and the storage-option fallback all lived inside compaction.rs, so a second test binary would have had to copy them. They move to tests/common. The fallback now reads AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY and AWS_ENDPOINT_URL from the environment, defaulting to what it used before. A harness can then point these tests at a gateway that checks what it is given rather than one that accepts anything. * lance worker: maintain one named table, for a harness to drive Compacts and cleans up whatever WEED_LANCE_TABLE names, through the handlers' own detect-then-execute path: a proposal the worker would not have made is not one worth running. The existing tests seed the tables they check. This one deliberately does not, so a harness that has already written a table and knows what is in it can have the real handlers maintain it and then read it back. * test: take a table through its whole life, for Iceberg and Lance Created in the catalog, filled by a real client, maintained by the worker, read again, dropped. The step nothing was checking is the read after maintenance: compaction once rewrote every dictionary-encoded column onto a single value and shipped, because the maintenance tests were thorough about sequence numbers, manifest entries and metadata versions and none of them opened the parquet file the worker had just written. So the assertion is a tally - row count, the cardinality of each dictionary-encoded column, and an md5 over whole rows - taken before maintenance and again after, required to be equal. The cardinalities name the failure that happened; the digest catches a rewrite that keeps every column's cardinality and hands the values to the wrong rows. A compaction that merged nothing fails rather than passes, or the read afterwards is checking a file the worker never wrote. The Iceberg half runs two clients. DuckDB is the one the corruption was reported against and the only one here that writes the deprecated PLAIN_DICTIONARY encoding, which parquet-go normalizes away on write, so a Go writer cannot produce it. PyIceberg writes the modern spelling. Pinning parquet-go back to v0.30.1 fails the DuckDB half and passes the PyIceberg one, which is why both are here. Lance maintenance lives in the Rust worker, so it runs there where cargo is installed and through the two lance calls those handlers wrap where it is not. WEED_LANCE_MAINTENANCE picks one instead of letting the test guess. * ci: run the table lifecycle tests CI maintains the Lance table through the lance library rather than the worker: a cold build of the lance crate costs more than the glue it would be checking, and the worker's own tests cover its handlers. The suite drives the Iceberg maintenance worker, so a change to it now triggers this workflow too. * test: let the lifecycle harness fail instead of skipping Setup failures all exited zero, so a cluster that would not come up, or a port allocation that lost, reported a green run for code nothing had executed. That is the failure mode this whole directory exists to close, and it was in the harness itself. Only a checkout without a weed binary skips now, and it runs the tests so each one says so rather than the package quietly passing. Everything else fails. The filer existence probe gets a deadline while I am here: it ran without one, so an unresponsive filer would hang the suite past every timeout the clients have. * test: make the lifecycle checks check what they claim to Three of them could pass without having looked. The DuckDB skip matched "syntax error", "not implemented" and "Failed to load" anywhere in the output, in any phase. A parse error in the SQL this test generates, or a refusal from our own catalog, would have taken the only coverage of the PLAIN_DICTIONARY encoding out of CI and left it green. It now matches the extension failing to install, and only in the phase that installs it. Everything past LOAD is ours and fails. The digests covered id, category and value. Compaction rewrites the whole row, so a defect confined to ts, or to a Lance vector, changed nothing either side of maintenance. Every persisted column goes in now, ts as microseconds so no timezone sits between the two runs. The Lance drop check caught every exception as proof the dataset was gone. pylance turns credential and transport failures into the same ValueError, so it only accepts the message that means not found. * docs: say up front which maintenance path the Lance half takes The opening summary said the worker maintains both tables. It maintains the Iceberg one always and the Lance one only where cargo is installed, which is not what CI does.	2026-08-21 15:16:11 -07:00
Chris LuandGitHub	3bd218e030	volume: cut idle memory at high volume counts (#10861) ... * volume: start a volume's batch write worker on first use Mounting a volume started a goroutine parked on a 128-slot channel, plus the 128-entry batch slice it had already allocated. That is around 6.7KB per volume the server pays whether or not the volume ever takes a write: 7231 bytes per mounted volume, of which 4101 is goroutine stack. Only a write that asks for fsync ever reaches the worker, and a remote-tiered or read-only volume never can. Create the channel and its goroutine on the first such request instead, and let a write arriving after Destroy fall back to the inline path rather than queue onto a worker that has gone. Measured over 20000 mounted volumes: 7231 -> 1269 bytes each. * volume: update the heartbeat report state in place Every heartbeat built a second map of what it was about to tell the master, holding a freshly allocated short information message per volume, then swapped it in over the old one -- and computed departures through a third map of the live volume ids. A server holding 2M volumes rebuilt all three every VolumePulsePeriod for a report that usually says nothing. Number the heartbeats instead and mark the entry already held with the pass that found the copy, so a quiet volume costs a map lookup and no allocation. Departures are the entries a pass did not mark; the live-id map is now built only when there are some, sized to them. Measured over 10000 mounted volumes: 436 -> 196 bytes allocated per volume per heartbeat. * volume: fill one volume information message per heartbeat, not per volume The heartbeat built a message for every volume held so it could hash it, then dropped all but the few it had something to say about. At 2M volumes that is 2M messages allocated every VolumePulsePeriod to send almost none of them. Fill a message the caller supplies instead, and replace it only when the heartbeat keeps it, so a server with nothing to report fills the same one all the way through. Measured over 10000 mounted volumes: 196 -> 4 bytes allocated per volume per heartbeat, and a heartbeat runs a third faster. * volume: drop the per-volume trace from the heartbeat's status read glog.V(4).Infof evaluates its arguments whether or not the verbosity is on, so every volume boxed its id into a fresh interface slice on every heartbeat: 759 of the 773 allocations a 1000-volume heartbeat made, for a line that at this scale would print millions of unreadable rows. Measured over 1000 mounted volumes: 4776 -> 1792 bytes and 759 -> 14 allocations per heartbeat, which no longer grows with the volume count. * seaweed-volume: mirror the in-place heartbeat report state Same change as the Go volume server: number the heartbeats and mark the entry already held with the pass that found the copy, instead of building a second map of hashes and swapping it in. The volume snapshot must leave the reporting state as it found it, so it keeps asking through changed() while a real heartbeat marks through record(). * volume: refuse writes to a closed volume instead of dereferencing nil Close and Destroy leave the needle map and data backend nil, but a caller that already holds the volume can still reach the write path, where both are used unguarded: a write racing a volume deletion took the server down. syncDelete has always checked; syncWrite and the batch worker had not. Reachable before this series and now also from the inline fallback a durable write takes when the worker has gone. * seaweed-volume: guard the report state with one mutex, as Go does The full-list flag and the generation that answers it have to move together. Split across separate atomics they cannot: a request landing between begin's two reads returns full == false with the generation it just raised, and one landing between commit's read and its clear is marked answered by a heartbeat that carried no list. Either way the resend is dropped. Neither is reachable today -- every caller reaches this through the store's RwLock, the flag setters under a read lock and the heartbeat build under a write lock, so they cannot interleave. The type should not depend on that being true two files away, and Go holds a single mutex over exactly these fields. * test: build the servers under test to match the harness's offset size The mixed Go/Rust suites run both servers against one dataset, so both have to agree on the offset width. They did not: the harness built Go with no tags, 4-byte offsets, while the Rust crate defaults to its 5bytes feature, and the Rust server then refused the .vif the Go server had just written -- "bytes_offset mismatch: found 4, expected 5". Build each side to match the offset size the test binary itself was compiled with, so a plain `go test` and one with -tags 5BytesOffset both get a matched pair.	2026-08-21 13:04:56 -07:00
4 people	930603eb74	S3: optionally serve remote-mounted objects from remote when the local read fails (#10837) ... * feat(s3): serve from remote on local read failure When a locally-cached chunk of a remote-mounted object becomes unreadable (volume server down/restarting, or an evicted needle 404ing under retry-backoff), fall back to serving the object from its mounted remote instead of erroring. A bounded pre-flight probe makes a stuck volume trip the timeout rather than stalling the request. Gated by -localReadFallbackToRemote (default off) with -localReadFallbackTimeout (2s default), so existing deployments are unaffected until they opt in. * fix(s3): register local-read-fallback flags for mini/server/filer The mini, server and filer launchers build S3Options directly and only populate the flag pointers they register. Without registering the two new flags there, startS3Server dereferenced nil pointers and crashed at boot, failing every integration suite that runs `weed mini`. * fix(s3): treat a zero-byte probe read as unreadable A read that returns no byte -- whether it reports io.EOF or no error at all -- means the offset is not locally readable, so the probe must fall back to the remote rather than proceeding to stream a truncated response. Only a returned byte (including the object's final byte with a trailing io.EOF) counts as readable. * s3: finish a mid-stream local read failure from the remote mount The pre-flight probe only proves the byte at the requested offset readable. A multi-chunk object can still lose a later chunk after the 200/206 and its Content-Length are committed, which truncated the body with no fallback. Resume from the mounted remote at the byte the local copy stopped at, so the response still carries the declared length. A short local read that surfaces as a clean EOF is treated the same way instead of silently truncating. * s3: fall back to the remote mount without a CLI switch Serving a remote-mounted object from its authoritative remote is what the read should have done all along -- the alternative is a 500 on an object the cluster can still reach -- so make it the behavior instead of two new flags, with the probe bounded by a constant. * s3: trim the comments on the fallback path * filer: report only the contiguous prefix when a parallel chunk read fails The parallel branch of doReadAt fans the chunk reads straight into their own windows of the output buffer, then sums every task's bytesRead. A middle chunk failing while a later one succeeds therefore returned a length covering a hole the reader never filled, handing the caller zeros in the middle of otherwise valid data. * s3: only splice the remote onto a local prefix while it is the cached generation Eligibility establishes a size match, not byte identity: a remote key overwritten with same-size content between the cache fill and the fallback would have finished the response with bytes from a second generation, under the first one's ETag. Stat the remote before resuming and keep the local error when it no longer matches -- a truncated body is a visible failure, a spliced one is not. --------- Co-authored-by: Chris Lu <chrislusf@users.noreply.github.com> Co-authored-by: Chris Lu <chris.lu@gmail.com>	2026-08-21 11:47:53 -07:00
Chris LuandGitHub	6faa9d20e8	iceberg: stop compaction from corrupting dictionary-encoded columns (#10857) ... * deps: upgrade parquet-go to v0.32.0 Iceberg compaction writes the merged file with the schema of its first input, encodings included. parquet-go before v0.31.0 took the deprecated PLAIN_DICTIONARY encoding that DuckDB writes at face value and encoded those pages as plain int32 indices, but the spec gives PLAIN_DICTIONARY the same bit-width-prefixed RLE layout as RLE_DICTIONARY. Every dictionary-encoded column in a compacted file then decoded onto a single dictionary entry, and anything past one page failed to decode at all. * iceberg: cover compaction of dictionary-encoded input The fixture is a DuckDB-written file, so it carries the PLAIN_DICTIONARY encoding a Go writer will not produce. * iceberg: tally whole rows in the dictionary merge test Counting each column on its own passes a merge that remaps names while leaving their cardinality intact.	2026-08-21 10:12:01 -07:00
Chris LuandGitHub	813c439af6	admin: regenerate the gzipped static mirror (#10859) ... The toast and modal changes edited static/js/ without rerunning gen_static_gz.go, so the embedded assets served to browsers still carry the old scripts and TestStaticGzMirror fails on master.	2026-08-21 10:10:10 -07:00
Chris LuandGitHub	bd34565e56	admin: keep the copy confirmation in front of the access key modal (#10856) ... * admin: raise nested modals above the ones already open Bootstrap gives every modal and every backdrop the same z-index, so a modal opened while another is showing paints behind it and its buttons cannot be clicked. Viewing an access key secret and then copying a field left the confirmation stuck behind the details modal with no way to dismiss it. Give each nested modal, and the backdrop Bootstrap creates for it, a z-index above what is already on screen, and put back the scroll lock that Bootstrap drops as soon as any one of them closes. * admin: confirm clipboard copies with a toast The access key details modal offers three copy buttons, and each one raised a modal that had to be dismissed before the next copy. Confirm with a toast instead, so the credentials stay in view and nothing has to be clicked away.	2026-08-21 09:20:27 -07:00
github-actions[bot]	6c7f184381	4.43 4.43	2026-08-21 07:08:16 +00:00
Chris LuandGitHub	8a532cc0cf	mini: state the format of a -tableBucket, do not infer it (#10851) ... * mini: state the format of a -tableBucket, do not infer it A table bucket holds one format and that format decides which catalog can serve it, but the flag only took names. The format came from miniTableBucketFormat(): Iceberg whenever its port was up, Lance only when it was not. So -tableBucket=vectors on a default mini quietly made an ICEBERG bucket that the Lance namespace then refused every table in, and the only way to get a Lance one was -s3.port.iceberg=0, which buys it by deleting the other catalog. One flag, two meanings, decided by an unrelated port. Each entry is now name[:FORMAT], unsuffixed meaning ICEBERG as before: weed mini -tableBucket=warehouse,vectors:LANCE Both catalogs stay up and both buckets are reachable. A name whose format has no endpoint here is skipped with a warning rather than created out of reach, and the Iceberg-only S3_TABLE_BUCKET default-routing hint gets the Iceberg names alone, without their suffixes. * mini: do not reuse a table bucket that holds another format CreateTableBucket answers BucketAlreadyExists on the name alone, so -tableBucket=vectors against a bucket created as LANCE logged "already exists" and moved on, and the Iceberg default-warehouse hint then pointed at it. Every table create against that catalog fails with "table bucket vectors holds LANCE tables", far from the flag that chose it. ensureMiniTableBuckets now reads the format of a bucket it did not create, warns when it is not the one asked for, and returns only the buckets that hold what was requested. S3_TABLE_BUCKET is seeded from that list, so an unprefixed Iceberg request falls back to its own default rather than committing into a Lance bucket. A bucket predating declared formats reports an empty one and still accepts either. * mini: normalize S3_TABLE_BUCKET whichever way the spec arrived The rewrite that keeps Lance names out of the Iceberg default warehouse only ran when the flag supplied the spec. Set the variable directly, as the docker quickstart does, and it reached the catalog untouched: S3_TABLE_BUCKET= vectors:LANCE,warehouse made the unprefixed default the literal string "vectors:LANCE", a bucket no lookup finds, while warehouse sat behind it. The variable is both mini's input and the catalog's routing hint, so it is now always rewritten from the buckets that came back holding Iceberg tables, and unset when there are none rather than left pointing somewhere stale. * mini: reuse a table bucket only when its format reads back An ordinary S3 bucket wearing the name answers CreateTableBucket with the same BucketAlreadyExists as a table bucket does, and the format lookup that follows returned "" for a failed read exactly as it does for a bucket predating declared formats. So -bucket=data -tableBucket=data reported nothing and published data as the Iceberg default warehouse, where every unprefixed request 404s on a bucket that is not a catalog. The lookup now returns its error, and only a bucket that reads back as the format asked for is reused. Anything else is left alone with a warning naming why, rather than routed to and discovered later.	2026-08-20 23:46:32 -07:00
Chris LuandGitHub	83753ccdad	test: drive the Lance namespace with LanceDB (#10850) ... * test: drive the Lance namespace with LanceDB The Iceberg catalog is checked against Spark, Trino, ClickHouse, Doris, Dremio and RisingWave. The Lance one had only its own reference client, which is the same thing as checking it against ourselves. LanceDB connects with connect_namespace("rest", ...), which speaks the routes this catalog implements, so the suite exercises the protocol rather than our idea of it: list the catalog, open a table through it, read the schema, run a vector search and a filtered scan, create a table, and read the same dataset straight off its URI with no catalog at all. table_names -> ['lancedb-p0guidmm$ml$embeddings'] open_table -> 64 rows search -> [1, 0, 2] create_table -> 4 rows, listed by the catalog direct read without the catalog -> 64 rows Seeding is pylance, because the namespace records where a table lives and does not carry its data. That split is the design rather than a limit of the test. One interop note the test encodes: a gateway without STS vends storage_options carrying an endpoint and a region but no credentials, and LanceDB uses what the namespace vends on some paths. The container gets credentials in its environment as well, which is what a deployment without STS would do. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm * test: pin the LanceDB client, and index before searching Three from review. The client's dependencies were unpinned, so an unrelated upstream release could change what an old commit reproduces. Pinned to the versions this suite was verified against; the client is as much the thing under test as the server. The search was called ANN and was not: without an index LanceDB scans. The test now builds an IVF_PQ index over 1024 rows first, which is worth more than the wording fix - an index writes into a directory of the table that the S3 door has to admit, and that guard has refused a Lance directory before. It builds, covers all 1024 rows, and searches. The assertion moved with it. Demanding the exact nearest neighbour was right for a brute-force scan and wrong for a quantized index, which answered 0 as readily as 1; both are correct, so the check is now the neighbourhood. And the pushdown check accepted any failure. It now requires the refusal to be the catalog's Unsupported and requires that nothing was left behind, or, when the client falls back, that the table is complete. Claude-Session: https://claude.ai/code/session_01Rkp1Mw5E89Jp6dzJFYiMrm	2026-08-20 20:11:48 -07:00