The view builder builds the views from a given base table in
view_builder::batch_size batches of rows. After processing this many
rows, it suspends so the view builder can switch to building views for
other base tables in the name of fairness. When resuming the build step
for a given base table, it reuses the reader used previously (also
serving the role of a snapshot, pinning sstables read from). The
compactor however is created anew. As the reader can be in the middle of
a partition, the view builder injects a partition start into the
compactor to prime it for continuing the partition. This however only
included the partition-key, crucially missing any active tombstones:
partition tombstone or -- since the v2 transition -- active range
tombstone. This can result in base rows covered by either of this to be
resurrected and the view builder to generate view updates for them.
This patch solves this by using the detach-state mechanism of the
compactor which was explicitly developed for situations like this (in
the range scan code) -- resuming a read with the readers kept but the
compactor recreated.
Also included are two test cases reproducing the problem, one with a
range tombstone, the other with a partition tombstone.
Fixes: #11668Closes#11671
(cherry picked from commit 5621cdd7f9)
As described in issue #11801, we saw in Alternator when a GSI has both partition and sort keys which were non-key attributes in the base, cases where updating the GSI-sort-key attribute to the same value it already had caused the entire GSI row to be deleted.
In this series fix this bug (it was a bug in our materialized views implementation) and add a reproducing test (plus a few more tests for similar situations which worked before the patch, and continue to work after it).
Fixes#11801Closes#11808
* github.com:scylladb/scylladb:
test/alternator: add test for issue 11801
MV: fix handling of view update which reassign the same key value
materialized views: inline used-once and confusing function, replace_entry()
(cherry picked from commit e981bd4f21)
The intention was for these logs to be printed during the
database shutdown sequence, but it was overlooked that it's not
the only place where commitlog::shutdown is called.
Commitlogs are started and shut down periodically by hinted handoff.
When that happens, these messages spam the log.
Fix that by adding INFO commitlog shutdown logs to database::stop,
and change the level of the commitlog::shutdown log call to DEBUG.
Fixes#11508Closes#11536
(cherry picked from commit 9b6fc553b4)
Long-term index caching in the global cache, as introduced in 4.6, is a major
pessimization for workloads where accesses to the index are (spacially) sparse.
We want to have a way to disable it for the affected workloads.
There is already infrastructure in place for disabling it for BYPASS CACHE
queries. One way of solving the issue is hijacking that infrastructure.
This patch adds a global flag (and a corresponding CLI option) which controls
index caching. Setting the flag to `false` causes all index reads to behave
like they would in BYPASS CACHE queries.
Consequences of this choice:
- The per-SSTable partition_index_cache is unused. Every index_reader has
its own, and they die together. Independent reads can no longer reuse the
work of other reads which hit the same index pages. This is not crucial,
since partition accesses have no (natural) spatial locality. Note that
the original reason for partition_index_cache -- the ability to share
reads for the lower and upper bound of the query -- is unaffected.
- The per-SSTable cached_file is unused. Every index_reader has its own
(uncached) input stream from the index file, and every
bsearch_clustered_cursor has its own cached_file, which dies together with
the cursor. Note that the cursor still can perform its binary search with
caching. However, it won't be able to reuse the file pages read by
index_reader. In particular, if the promoted index is small, and fits inside
the same file page as its index_entry, that page will be re-read.
It can also happen that index_reader will read the same index file page
multiple times. When the summary is so dense that multiple index pages fit in
one index file page, advancing the upper bound, which reads the next index
page, will read the same index file page. Since summary:disk ratio is 1:2000,
this is expected to happen for partitions with size greater than 2000
partition keys.
Fixes#11202
(cherry picked from commit cdb3e71045)
Calling WebAssembly UDFs requires wasmtime instance. Creating such an instance is expensive,
but these instances can be reused for subsequent calls of the same UDF on various inputs.
This patch introduces a way of reusing wasmtime instances: a wasm instance cache.
The cache stores a wasmtime instance for each UDF and scheduling group. The instances are
evicted using LRU strategy and their size is based on the size of their wasm memories.
The instances stored in the cache are also dropped when the UDF is dropped itself. For that reason,
the first patch modifies the current implementation of UDF dropping, so that the instance dropping may be added
later. The patch also removes the need of compiling the UDF again when dropping it.
The second patch contains the implementation and use of the new cache. The cache is implemented
in `lang/wasm_instance_cache.hh` and the main ways of using it are the `run_script` methods from `wasm.hh`
The third patch adds tests to `test_wasm.py` that check the correctness and performance of the new
cache. The tests confirm the instance reuse, size limits, instance eviction after timeout and after dropping the UDF.
Closes#10306
* github.com:scylladb/scylladb:
wasm: test instances reuse
wasm: reuse UDF instances
schema_tables: simplify merge_functions and avoid extra compilation
Code that waited for all remote view updates was already there. This
commit modifies the conditions of this wait to take into account the
"synchronous mode" (enabled when db::SYNCHRONOUS_VIEW_UPDATES_TAG_KEY is
set).
This commit defines a new tag key (SYNCHRONOUS_VIEW_UPDATES_TAG_KEY) to
be used for marking "synchronous mode" views. This key is used in
`cf_prop_defs::apply_to_builder` if the properties contain
KW_SYNCHRONOUS_UPDATES.
Tags are a useful mechanism that could be used outside of alternator
namespace. My motivation to move tags_extension and other utilities to
db/tags/ was that I wanted to use them to mark "synchronous mode" views.
I have extracted `get_tags_of_table`, `find_tag` and `update_tags`
method to db/tags/utils.cc and moved alternator/tags_extension.hh to
db/tags/.
The signature of `get_tags_of_table` was changed from `const
std::map<sstring, sstring>&` to `const std::map<sstring, sstring>*`
Original behavior of this function was to throw an
`alternator::api_error` exception. This was undesirable, as it
introduced a dependency on the alternator module. I chose to change it
to return a potentially null value, and added a wrapper function to the
alternator module - `get_tags_of_table_or_throw` to keep the previous
throwing behavior.
When executing a wasm UDF, most of the time is spent on
setting up the instance. To minimize its cost, we reuse
the instance using wasm::instance_cache.
This patch adds a wasm instance cache, that stores
a wasmtime instance for each UDF and scheduling group.
The instances are evicted using LRU strategy. The
cache may store some entries for the UDF after evicting
the instance, but they are evicted when the corresponding
UDF is dropped, which greatly limits their number.
The size of stored instances is estimated using the size
of their WASM memories. In order to be able to read the
size of memory, we require that the memory is exported
by the client.
Signed-off-by: Wojciech Mitros <wojciech.mitros@scylladb.com>
Currently, we have 2 mere_functions methods, where one is only the only
call to the other. We can replace them with a simple one.
The merge_functions method compiles a UDF (using create_func) only to
read its signature. We can avoid that by reading it from the row ourselves.
Signed-off-by: Wojciech Mitros <wojciech.mitros@scylladb.com>
This PR removes all code that used classes `restriction`, `restrictions` and their children.
There were two fields in `statement_restrictions` that needed to be dealt with: `_clustering_columns_restrictions` and `_nonprimary_key_restrictions`.
Each function was reimplemented to operate on the new expression representaiion and eventually these fields weren't needed anymore.
After that the restriction classes weren't used anymore and could be deleted as well.
Now all of the code responsible for analyzing WHERE clause and planning a query works on expressions.
Closes#11069
* github.com:scylladb/scylla:
cql3: Remove all remaining restrictions code
cql3: Move a function from restrictions class to the test
cql3: Remove initial_key_restrictions
cql3: expr: Remove convert_to_restriction
cql3: Remove _new from _new_nonprimary_key_restrictions
cql3: Remove _nonprimary_key_restrictions field
cql3: Reimplement uses of _nonprimary_key_restrictions using expression
cql3: Keep a map of single column nonprimary key restrictions
cql3: Remove _new from _new_clustering_columns_restrictions
cql3: Remove _clustering_columns_restrictions from statement_restrictions
cql3: Use a variable instead of dynamic cast
cql3: Use the new map of single column clustering restrictions
cql3: Keep a map of single column clustering key restrictions
cql3: Return an expression in get_clustering_columns_restrctions()
cql3: Reimplement _clustering_columns_restrictions->has_supporting_index()
cql3: Don't create single element conjunction
cql3: Add expr::index_supports_some_column
cql3: Reimplement has_unrestricted_components()
cql3: Reimplement _clustering_columns_restrictions->need_filtering()
cql3: Reimplement num_prefix_columns_that_need_not_be_filtered
cql3: Use the new clustering restrictions field instead of ->expression
cql3: Reimplement _clustering_columns_restrictions->size() using expressions
cql3: Reimplement _clustering_columns_restrictions->get_column_defs() using expressions
cql3: Reimplement _clustering_columns_restrictions->is_all_eq() using expressions
cql3: expr: Add has_only_eq_binops function
cql3: Reimplement _clustering_columns_restrictions->empty() using expressions
All parts of the code that use _nonprimary_key_restrictions
are changed to use _new_nonprimary_key_restrictions instead.
I decided not to split this into multiple commits,
as there isn't a lot of changes and they are
analogous to the ones done before for partition
and clustering columns.
Signed-off-by: Jan Ciolek <jan.ciolek@scylladb.com>
This PR extends #9209. It consists of 2 main points:
To enable parallelization of user-defined aggregates, reduction function was added to UDA definition. Reduction function is optional and it has to be scalar function that takes 2 arguments with type of UDA's state and returns UDA's state
All currently implemented native aggregates got their reducible counterpart, which return their state as final result, so it can be reduced with other result. Hence all native aggregates can now be distributed.
Local 3-node cluster made with current master. `node1` updated to this branch. Accessing node with `ccm <node-name> cqlsh`
I've tested belowed things from both old and new node:
- creating UDA with reduce function - not allowed
- selecting count(*) - distributed
- selecting other aggregate function - not distributed
Fixes: #10224Closes#10295
* github.com:scylladb/scylla:
test: add tests for parallelized aggregates
test: cql3: Add UDA REDUCEFUNC test
forward_service: enable multiple selection
forward_service: support UDA and native aggregate parallelization
cql3:functions: Add cql3::functions::functions::mock_get()
cql3: selection: detect parallelize reduction type
db,cql3: Move part of cql3's function into db
selection: detect if selectors factory contains only simple selectors
cql3: reducible aggregates
DB: Add `scylla_aggregates` system table
db,gms: Add SCYLLA_AGGREGATES schema features
CQL3: Add reduce function to UDA
gms: add UDA_NATIVE_PARALLELIZED_AGGREGATION feature
"
Same thing was done for compaction class some time ago, now
it's time for streaming to keep repair-generated IO in bounds.
This set mostly resembles the one for compaction IO class with
the exception that boot-time reshard/reshape currently runs in
streaming class, but that's nod great if the class is throttled,
so the set also moves boot-time IO into default IO class.
"
* 'br-streaming-class-throttling-2' of https://github.com/xemul/scylla:
distributed_loader: Populate keyspaces in default class
streaming: Maintain class bandwidth
streaming: Pass db::config& to manager constructor
config: Add stream_io_throughput_mb_per_sec option
sstables: Keep priority class on sstable_directory
get_clustering_columns_restrctions() used to return
a shared pointer to the clustering_restrictions class.
Now everything is being converted to expression,
so it should return an expression as well.
Signed-off-by: Jan Ciolek <jan.ciolek@scylladb.com>
This patch makes memtable_flush_static_shares liveupdateable
to avoid having to restart the cluster after updating
this config.
Signed-off-by: Igor Ribeiro Barbosa Duarte <igor.duarte@scylladb.com>
This patch makes compaction_static_shares liveupdateable
to avoid having to restart the cluster after updating
this config.
Signed-off-by: Igor Ribeiro Barbosa Duarte <igor.duarte@scylladb.com>
It's going to control the bandwidth for the streaming prio class.
For now it's jsut added but does't work for real
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
Moving `function`, `function_name` and `aggregate_function` into
db namespace to avoid including cql3 namespace into query-request.
For now, only minimal subset of cql3 function was moved to db.
There is no need for utils::make_joinpoint now
that the function calls replica::database::drop_table_on_all_shards.
Signed-off-by: Benny Halevy <bhalevy@scylladb.com>
So that the dropped table's directory can be
removed after it has been dropped on all shards
if it has no snapshots.
Signed-off-by: Benny Halevy <bhalevy@scylladb.com>
Runs drop_column_family on all database shards.
Will be extended later to consider removing the table directory.
Signed-off-by: Benny Halevy <bhalevy@scylladb.com>
Now that we use emit_only_live_rows::no everywhere we can remove this
template parameters. Only the template parameter is removed, the
internal logic around it is left in place (will be removed in a next
patch), by hard-wiring `only_live()`.
emit_only_live_rows is a convenience so downstream consumers of the
mutation compactors don't have to check the `bool is_live` already
passed to them. This convenience however causes a template parameter and
additional logic for the compactor. As the most prominent of these
consumers (the query result builder) will soon have to switch to
emit_only_live_rows::no for other reasons anyway (it will want to count
tombstones), we take the opportunity to switch everybody to ::no. This
can be done with very little additional complexity to these consumer --
basically an additional if or two.
This prepares the ground for removing this template parameter and the
associate logic from the compactor.
Recently we noticed a regression where with certain versions of the fmt
library,
SELECT value FROM system.config WHERE name = 'experimental_features'
returns string numbers, like "5", instead of feature names like "raft".
It turns out that the fmt library keep changing their overload resolution
order when there are several ways to print something. For enum_option<T> we
happen to have to conflicting ways to print it:
1. We have an explicit operator<<.
2. We have an *implicit* convertor to the type held by T.
We were hoping that the operator<< always wins. But in fmt 8.1, there is
special logic that if the type is convertable to an int, this is used
before operator<<()! For experimental_features_t, the type held in it was
an old-style enum, so it is indeed convertible to int.
The solution I used in this patch is to replace the old-style enum
in experimental_features_t by the newer and more recommended "enum class",
which does not have an implicit conversion to int.
I could have fixed it in other ways, but it wouldn't have been much
prettier. For example, dropping the implicit convertor would require
us to change a bunch of switch() statements over enum_option (and
not just experimental_features_t, but other types of enum_option).
Going forward, all uses of enum_option should use "enum class", not
"enum". tri_mode_restriction_t was already using an enum class, and
now so does experimental_features_t. I changed the examples in the
comments to also use "enum class" instead of enum.
This patch also adds to the existing experimental_features test a
check that the feature names are words that are not numbers.
Fixes#11003.
Signed-off-by: Nadav Har'El <nyh@scylladb.com>
Closes#11004
Scylla's coding standard requires that each header is self-sufficient,
i.e., it includes whatever other headers it needs - so it can be included
without having to include any other header before it.
We have a test for this, "ninja dev-headers", but it isn't run very
frequently, and it turns out our code deviated from this requirement
in a few places. This patch fixes those places, and after it
"ninja dev-headers" succeeds again.
Fixes#10995
Signed-off-by: Nadav Har'El <nyh@scylladb.com>
Closes#10997
Currently, applying schema mutations involves flushing all schema
tables so that on restart commit log replay is performed on top of
latest schema (for correctness). The downside is that schema merge is
very sensitive to fdatasync latency. Flushing a single memtable
involves many syncs, and we flush several of them. It was observed to
take as long as 30 seconds on GCE disks under some conditions.
This patch changes the schema merge to rely on a separate commit log
to replay the mutations on restart. This way it doesn't have to wait
for memtables to be flushed. It has to wait for the commitlog to be
synced, but this cost is well amortized.
We put the mutations into a separate commit log so that schema can be
recovered before replaying user mutations. This is necessary because
regular writes have a dependency on schema version, and replaying on
top of latest schema satisfies all dependencies. Without this, we
could get loss of writes if we replay a write which depends on the
latest schema on top of old schema.
Also, if we have a separate commit log for schema we can delay schema
parsing for after the replay and avoid complexity of recognizing
schema transactions in the log and invoking the schema merge logic.
I reproduced bad behavior locally on my machine with a tired (high latency)
SSD disk, load driver remote. Under high load, I saw table alter (server-side part) taking
up to 10 seconds before. After the patch, it takes up to 200 ms (50:1 improvement).
Without load, it is 300ms vs 50ms.
Fixes#8272Fixes#8309Fixes#1459Closes#10333
* github.com:scylladb/scylla:
config: Introduce force_schema_commit_log option
config: Introduce unsafe_ignore_truncation_record
db: Avoid memtable flush latency on schema merge
db: Allow splitting initiatlization of system tables
db: Flush system.scylla_local on change
migration_manager: Do not drop system.IndexInfo on keyspace drop
Introduce SCHEMA_COMMITLOG cluster feature
frozen_mutation: Introduce freeze/unfreeze helpers for vectors of mutations
db/commitlog: Improve error messages in case of unknown column mapping
db/commitlog: Fix error format string to print the version
db: Introduce multi-table atomic apply()
Convert most use sites from `co_return coroutine::make_exception`
to `co_await coroutine::return_exception{,_ptr}` where possible.
In cases this is done in a catch clause, convert to
`co_return coroutine::exception`, generating an exception_ptr
if needed.
Signed-off-by: Benny Halevy <bhalevy@scylladb.com>
Closes#10972
"
The option controlls the IO bandwidth of the compaction sched class.
It's not set to be 16MB/s, but is unused. This set makes it 0 by
default (which means unlimited), live-updateable and plugs it to the
seastar sched group IO throttling.
branch: https://github.com/xemul/scylla/tree/br-compaction-throttling-3
tests: unit(dev),
v2: https://jenkins.scylladb.com/job/releng/job/Scylla-CI/1010/ ,
v2: manual config update
"
* 'br-compaction-throttling-3-a' of https://github.com/xemul/scylla:
compaction_manager: Add compaction throughput limit
updateable_value: Support dummy observing
serialized_action: Allow being observer for updateable_value
config: Tune the config option
The node now refuses to boot if schema tables were truncated.
This adds a config option to ignore truncation records as a
workaround if user truncated them manually.
Currently, applying schema mutations involves flushing all schema
tables so that on restart commit log replay is performed on top of
latest schema (for correctness). The downside is that schema merge is
very sensitive to fdatasync latency. Flushing a single memtable
involves many syncs, and we flush several of them. It was observed to
take as long as 30 seconds on GCE disks under some conditions.
This patch changes the schema merge to rely on a separate commit log
to replay the mutations on restart. This way it doesn't have to wait
for memtables to be flushed. It has to wait for the commitlog to be
synced, but this cost is well amortized.
We put the mutations into a separate commit log so that schema can be
recovered before replaying user mutations. This is necessary because
regular writes have a dependency on schema version, and replaying on
top of latest schema satisfies all dependencies. Without this, we
could get loss of writes if we replay a write which depends on the
latest schema on top of old schema.
Also, if we have a separate commit log for schema we can delay schema
parsing for after the replay and avoid complexity of recognizing
schema transactions in the log and invoking the schema merge logic.
One complication with this change is that replay_position markers are
commitlog-domain specific and cannot cross domains. They are recorded
in various places which survive node restart: sstables are annotated
with the maximum replay position, and they are present inside
truncation records. The former annotation is used by "truncate"
operation to drop sstables. To prevent old replay positions from being
interpreted in the context in the new schema commitlog domain, the
change refuses to boot if there are truncation records, and also
prohibits truncation of schema tables.
The boot sequence needs to know whether the cluster feature associated
with this change was enabled on all nodes. Fetaures are stored in
system.scylla_local. Because we need to read it before initializing
schema tables, the initialization of tables now has to be split into
two phases. The first phase initializes all system tables except
schema tables, and later we initialize schema tables, after reading
stored cluster features.
The commitlog domain is switched only when all nodes are upgraded, and
only after new node is restarted. This is so that we don't have to add
risky code to deal with hot-switching of the commitlog domain. Cold
switching is safer. This means that after upgrade there is a need for
yet another rolling restart round.
Fixes#8272Fixes#8309Fixes#1459
It's not needed anymore because system.IndexInfo is a virtual table
calculated from view info.
The drop accesses a table which is outside system_schema keyspace
so crosses commit log domain. This will trigger an internal from
database::apply() on schema merge once the code switches to use
the schema commit log and require that all mutations which are
part of the schema change belong to a single commit log domain.
We could theoretically move system.IndexInfo to the schema commit log
domain. It's not easy though because table initialization at boot
needs to be split, and current functions for initailization work
at keyspace granularity, not table granularity.
Adds measuring the apparent delta vector of footprint added/removed within
the timer time slice, and potentially include this (if influx is greater
than data removed) in threshold calculation. The idea is to anticipate
crossing usage threshold within a time slice, so request a flush slightly
earlier, hoping this will give all involved more time to do their disk
work.
Obviously, this is very akin to just adjusting the threshold downwards,
but the slight difference is that we take actual transaction rate vs.
segment free rate into account, not just static footprint.
Note: this is a very simplistic version of this anticipation scheme,
we just use the "raw" delta for the timer slice.
A more sophisiticated approach would perhaps do either a lowpass
filtered rate (adjust over longer time), or a regression or whatnot.
But again, the default persiod of 10s is something of an eternity,
so maybe that is superfluous...
Closes#10651
* github.com:scylladb/scylla:
commitlog: Add (internal) measurement of byte rates add/release/flush-req
commitlog: Add counters for # bytes released/flush requested
commitlog: Keep track of last flush high position to avoid double request
commitlog: Fix counter descriptor language
"
On stop there's a rather long log-less gap in the middle of
storage_service::drain_on_shutdown(). This set adds log in
interesting places and while at it tosses the patched code.
refs: #10941
"
* 'br-shutdown-logging' of https://github.com/xemul/scylla:
batchlog_manager: Add drain and stop logging
batchlog_manager: Coroutinize drain and stop
batchlog_manager: Drain it with shared future
commitlog: Add shutdown message
database: Move flushing logging
compaction_manager: Add logging around drain
compaction_manager: Coroutinize drain
storage_service: Sanitize stop_transport()
This is not identical change, if drain() resolves with exception we end
up skipping the gate closing, but since it's stop why bother
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
