Commit Graph

5 Commits

Author SHA1 Message Date
Avi Kivity
0ae22a09d4 LICENSE: Update to version 1.1
Updated terms of non-commercial use (must be a never-customer).
2026-04-12 19:46:33 +03:00
Ernest Zaslavsky
5ba5aec1f8 treewide: Move mutation related files to a mutation directory
As requested in #22104, moved the files and fixed other includes and build system.

Moved files:
 - combine.hh
 - collection_mutation.hh
 - collection_mutation.cc
 - converting_mutation_partition_applier.hh
 - converting_mutation_partition_applier.cc
 - counters.hh
 - counters.cc
 - timestamp.hh

Fixes: #22104

This is a cleanup, no need to backport

Closes scylladb/scylladb#25085
2025-09-24 13:23:38 +03:00
Ernest Zaslavsky
a1f18a8883 treewide: Move schema related files to a schema directory As requested in #22111, moved the files and fixed other includes and build system.
Moved files:
- frozen_schema.hh
- frozen_schema.cc
- schema_mutations.hh
- schema_mutations.cc
- column_computation.hh

Fixes: #22111

Closes scylladb/scylladb#25089
2025-09-17 17:31:05 +03:00
Nadav Har'El
cae8a7222e alternator: fix view build on oversized GSI key attribute
Before this patch, the regular_column_transformation constructor, which
we used in Alternator GSIs to generates a view key from a regular-column
cell, accepted a cell of any size. As a reviewer (Avi) noticed, very
long cells are possible, well beyond what Scylla allows for keys (64KB),
and because regular_column_transformation stores such values in a
contiguous "bytes" object it can cause stalls.

But allowing oversized attributes creates an even more accute problem:
While view building (backfilling in DynamoDB jargon), if we encounter
an oversized (>64KB) key, the view building step will fail and the
entire view building will hang forever.

This patch fixes both problems by adding to regular_column_transformation's
constructor the check that if the cell is 64KB or larger, an empty value
is returned for the key. This causes the backfilling to silently skip
this item, which is what we expect to happen (backfilling cannot do
anything to fix or reject the pre-existing items in the best table).

A test test_gsi_updatetable.py::test_gsi_backfill_oversized_key is
introduced to reproduce this problem and its fix. The test adds a 65KB
attribute to a base table, and then adds GSIs to this table with this
attribute as its partition key or its sort key. Before this patch, the
backfilling process for the new GSIs hangs, and never completes.
After this patch, the backfilling completes and as expected contains
other base-table items but not the item with the oversized attribute.
The new test also passes on DynamoDB.

However, while implementing this fix I realized that issue #10347 also
exists for GSIs. Issue #10347 is about the fact that DynamoDB limits
partition key and sort key attributes to 2048 and 1024 bytes,
respectively. In the fix described above we only handled the accute case
of lengths above 64 KB, but we should actually skip items whose GSI
keys are over 2048 or 1024 bytes - not 64KB. This extra checking is
not handled in this patch, and is part of a wider existing issue:
Refs #10347

Signed-off-by: Nadav Har'El <nyh@scylladb.com>
2025-02-06 09:59:50 +01:00
Nadav Har'El
c8ea9f8470 mv: introduce regular_column_transformation, a new type of computed column
In the patches that follow, we want Alternator to be able to use as a
key for a materialized view (GSI) not a real column from the schema,
but rather an attribute value deserialized from a member of the ":attrs"
map.

For this, we need the ability for materialized view to define a key
column which is computed as function of a real column (":attrs").

We already have an MV feature which we called "computed column"
(column_computation), but it is wholy inadequate for this job:
column_computation can only take a partition key, and produce a value -
while we need it to take a regular column (one member of ":attrs"),
not just the partition key, and return a cell - value or deletion,
timestamp and TTL.

So in this patch we introduce a new type of computed column, which we
called "regular_column_transformation" since it intends to perform some
sort of transformation on a single column (or more accurately, a single
atomic cell). The limitation that this function transforms a single
column only is important - if we had a function of multiple columns,
we wouldn't know which timestamp or ttl it should use for the result
if the two columns had different timestamps or TTLs.

The new class isn't wired to anything yet: The MV code cannot handle
it yet, and the Alternator code will not use it yet.

Signed-off-by: Nadav Har'El <nyh@scylladb.com>
2025-02-06 09:59:48 +01:00