In the past, we allowed users to manually switch to 1PC
(e.g., one phase commit). However, with this commit, we
don't. All multi-shard modifications are done via 2PC.
With Citus 9.0, we introduced `citus.single_shard_commit_protocol` which
defaults to 2PC.
With this commit, we prevent any user to set it to 1PC and drop support
for `citus.single_shard_commit_protocol`.
Although this might add some overhead for users, it is already the default
behaviour (so less likely) and marking placements as INVALID is much
worse.
- citus_get_all_dependencies_for_object: emulate what Citus
would qualify as
dependency when adding
a new node
- citus_get_dependencies_for_object: emulate what Citus would qualify
as dependency when creating an
object
Example use:
```SQL
-- find all the depedencies of table test
SELECT
pg_identify_object(t.classid, t.objid, t.objsubid)
FROM
(SELECT * FROM pg_get_object_address('table', '{test}', '{}')) as addr
JOIN LATERAL
citus_get_all_dependencies_for_object(addr.classid, addr.objid, addr.objsubid) as t(classid oid, objid oid, objsubid int)
ON TRUE
ORDER BY 1;
```
To run tests in parallel use:
```bash
make check-arbitrary-configs parallel=4
```
To run tests sequentially use:
```bash
make check-arbitrary-configs parallel=1
```
To run only some configs:
```bash
make check-arbitrary-base CONFIGS=CitusSingleNodeClusterConfig,CitusSmallSharedPoolSizeConfig
```
To run only some test files with some config:
```bash
make check-arbitrary-base CONFIGS=CitusSingleNodeClusterConfig EXTRA_TESTS=dropped_columns_1
```
To get a deterministic run, you can give the random's seed:
```bash
make check-arbitrary-configs parallel=4 seed=12312
```
The `seed` will be in the output of the run.
In our regular regression tests, we can see all the details about either planning or execution but this means
we need to run the same query under different configs/cluster setups again and again, which is not really maintanable.
When we don't care about the internals of how planning/execution is done but the correctness, especially with different configs
this infrastructure can be used.
With `check-arbitrary-configs` target, the following happens:
- a bunch of configs are loaded, which are defined in `config.py`. These configs have different settings such as different shard count, different citus settings, postgres settings, worker amount, or different metadata.
- For each config, a separate data directory is created for tests in `tmp_citus_test` with the config's name.
- For each config, `create_schedule` is run on the coordinator to setup the necessary tables.
- For each config, `sql_schedule` is run. `sql_schedule` is run on the coordinator if it is a non-mx cluster. And if it is mx, it is either run on the coordinator or a random worker.
- Tests results are checked if they match with the expected.
When tests results don't match, you can see the regression diffs in a config's datadir, such as `tmp_citus_tests/dataCitusSingleNodeClusterConfig`.
We also have a PostgresConfig which runs all the test suite with Postgres.
By default configs use regular user, but we have a config to run as a superuser as well.
So the infrastructure tests:
- Postgres vs Citus
- Mx vs Non-Mx
- Superuser vs regular user
- Arbitrary Citus configs
When you want to add a new test, you can add the create statements to `create_schedule` and add the sql queries to `sql_schedule`.
If you are adding Citus UDFs that should be a NO-OP for Postgres, make sure to override the UDFs in `postgres.sql`.
You can add your new config to `config.py`. Make sure to extend either `CitusDefaultClusterConfig` or `CitusMXBaseClusterConfig`.
On the CI, upon a failure, all logfiles will be uploaded as artifacts, so you can check the artifacts tab.
All the regressions will be shown as part of the job on CI.
In your local, you can check the regression diffs in config's datadirs as in `tmp_citus_tests/dataCitusSingleNodeClusterConfig`.
Add/fix tests
Fix creating partitions
Add test for mx - partition creating case
Enable cascading to partitioned tables
Fix mx partition adding test
Fix cascading through fkeys
Style
Disable converting with non-inherited fkeys
Fix detach bug
Early return in case of cascade & Add tests
Style
Fix undistribute_table bug & Fix test outputs
Remove RemovePartitionRelationIds
Test with undistribute_table
Add test for mx+convert+undistribute
Remove redundant usage of CreatePartitionedCitusLocalTable
Add some comments
Introduce bulk functions for generating attach/detach partition commands
Fix: Convert partitioned tables after adding fkey
Change the error message for partitions
Introduce function ErrorIfPartitionTableAddedToMetadata
Polish attach/detach command generation functions
Use time_partitions for testing
Move mx tests to citus_local_tables_mx
Add new partitioned table to cascade test
Add test with time series management UDFs
Fix test output
Fix: Assertion fail on relation access tracking
Style
Refactor creating partitioned citus local tables
Remove CreatePartitionedCitusLocalTable
Style
Error out if converting multi-level table
Revert some old tests
Error out adding partitioned partition
Polish
Polish/address
Fix create table partition of case
Use CascadeOperationForRelationIdList if no cascade needed
Fix create partition bug
Revert / Add new tests to mx
Style
Fix dropping fkey bug
Add test with IF NOT EXISTS
Convert to CLT when doing ATTACH PARTITION
Add comments
Add more tests with time series management
Edit the error message for converting the child
Use OR instead of AND in ErrorIfUnsupportedAlterTableStmt
Edit/improve tests
Disable ddl prop when dropping default column definitions
Disable/enable ddl prop just before/after the command
Add comment
Add sequence test
Add trigger test
Remove NeedCascadeViaForeignKeys
Add one more insert to sequence test
Add comment
Style
Fix test output shard ids
Update comments
Disable creating fkey on partitions
Move partition check to CreateCitusLocalTable
Add comment
Add check for attachingmulti-level partition
Add test for pg_constraint
Check pg_dist_partition in tests
Add test inserting on the worker
* Add udf to include shardId in broken partition shard index names
* Address reviews: rename index such that operations can be done on it
* More comprehensive index tests
* Final touches and formatting
A write operation might trigger index deletion if index already had
dead entries for the key we are about to insert.
There are two ways of index deletion:
a) simple deletion
b) bottom-up deletion (>= pg14)
Since columnar_index_fetch_tuple never sets all_dead to true,
columnarAM doesn't ever expect to receive simple deletion requests
(columnar_index_delete_tuples) as we don't mark any index entries
as dead.
However, since columnarAM doesn't delete any dead entries via simple
deletion, postgres might ask for a more comprehensive deletion
(i.e.: bottom-up) at some point when pg >= 14.
So with this commit, we start gracefully ignoring bottom-up deletion
requests made to columnar_index_delete_tuples.
Given that users can anyway "VACUUM FULL" their columnar tables,
we don't see any problem in ignoring deletion requests.
* Make (columnar.stripe) first_row_number index a unique constraint
Since stripe_first_row_number_idx is required to scan a columnar
table, we need to make sure that it is created before doing anything
with columnar tables during pg upgrades.
However, a plain btree index is not a dependency of a table, so
pg_upgrade cannot guarantee that stripe_first_row_number_idx gets
created when creating columnar.stripe, unless we make it a unique
"constraint".
To do that, drop stripe_first_row_number_idx and create a unique
constraint with the same name to keep the code change at minimum.
* Add more pg upgrade tests for columnar
* Fix a logic error in uprade_columnar_after test
Co-authored-by: Onur Tirtir <onurcantirtir@gmail.com>
Considering all code-paths that we might interact with a columnar table,
add `CheckCitusVersion` calls to tableAM callbacks:
- initializing table scan (`columnar_beginscan` & `columnar_index_fetch_begin`)
- setting a new filenode for a relation (storage initializiation or a table rewrite)
- truncating the storage
- inserting tuple (single and multi)
Also add `CheckCitusVersion` call to:
- drop hook (`ColumnarTableDropHook`)
- `alter_columnar_table_set` & `alter_columnar_table_reset` UDFs
* Columnar: separate plain and exec quals.
Make a clear separation between plain quals, which contain constants
or extern params; and exec quals, which contain exec params and can't
be evaluated until a rescan.
Fixes#5258.
* more vanilla tests
Co-authored-by: Onur Tirtir <onurcantirtir@gmail.com>
When performing a partition-wise join, the planner will adjust paths
parameterized by the parent rel to instead parameterize by the child
rel directly. When this reparameterization happens, we also need to
adjust the join quals to reference the child rather than the parent.
Fixes#5257.
Not flush pending writes if given tid belongs to a "flushed" or
"aborted" stripe write, or to an "in-progress" stripe write of
another backend.
That way, we would reduce the cases where we flush single-tuple
stripes during index scan.
To do that, we follow below steps for index look-up's:
- Do not flush any pending writes and do stripe metadata look-up for
given tid.
If tuple with tid is found, then no need to do another look-up
since we already found the tuple without needing to flush pending
writes.
- If tuple is not found without flushing pending writes, then we have two
scenarios:
- If given tid belongs to a pending write of my backend, then do stripe
metadata look-up for given tid. But this time first **flush any pending
writes**.
- Otherwise, just return false from `index_fetch_tuple` since flushing
pending writes wouldn't help.
With 5825c44d5f, we made the changes to
skip aborted writes when scanning a columnar table.
However, looks like we forgot to handle such cases for the very first
call made to columnar_getnextslot. That means, that commit only
considered the intermediate stripe read operations.
However, functions called by columnar_getnextslot to find first stripe
to read (ColumnarBeginRead & ColumnarRescan) were not caring about
those aborted writes.
To fix that, we teach AdvanceStripeRead to find the very first stripe
to read, and then start using it where were blindly calling
FindNextStripeByRowNumber.
Previously, for regular table scans, we were setting `RelOptInfo->partial_pathlist`
to `NIL` via `set_rel_pathlist_hook` to discard scan `Path`s that need to use any
parallel workers, this was working nicely.
However, when building indexes, this hook doesn't get called so we were not
able to prevent spawning parallel workers when building an index. For this
reason, 9b4dc2f804 added basic
implementation for `columnar_parallelscan_*` callbacks but also made some
changes to skip using those workers when building the index.
However, now that we are doing stripe reservation in two stages, we call
`heap_inplace_update` at some point to complete stripe reservation.
However, postgres throws an error if we call `heap_inplace_update` during
a parallel operation, even if we don't actually make use of those workers.
For this reason, with this pr, we make sure to not generate scan `Path`s that
need to use any parallel workers by using `get_relation_info_hook`.
This is indeed useful to prevent spawning parallel workers during index builds.
If it is certain that we will not use any `parallel_worker`s for a columnar table,
then stripe entries inserted by aborted transactions become visible to
`SnapshotAny` and that causes `REINDEX` to fail by throwing a duplicate key
error.
To fix that:
* consider three states for a stripe write operation:
"flushed", "aborted", or "in-progress",
* make sure to have a clear separation between them, and
* act according to those three states when reading from a columnar table
Since PG14 we can now use binary encoding for arrays and composite types
that contain user defined types. This was fixed in this commit in
Postgres: 670c0a1d47
This change starts using that knowledge, by not necessarily falling back
to text encoding anymore for those types.
While doing this and testing a bit more I found various cases where
binary encoding would fail that our checks didn't cover. This fixes
those cases and adds tests for those. It also fixes EXPLAIN ANALYZE
never using binary encoding, which was a leftover of workaround that
was not necessary anymore.
Finally, it changes the default for both `citus.enable_binary_protocol`
and `citus.binary_worker_copy_format` to `true` for PG14 and up. In our
cloud offering `binary_worker_copy_format` already was true by default.
`enable_binary_protocol` had some bug with MX and user defined types,
this bug was fixed by the above mentioned fixes.
- get_missing_time_partition_ranges: Gets the ranges of missing partitions for the given table, interval and range unless any existing partition conflicts with calculated missing ranges.
- create_time_partitions: Creates partitions by getting range values from get_missing_time_partition_ranges.
- drop_old_time_partitions: Drops partitions of the table older than given threshold.
* Rename RecostColumnarPaths to CostColumnarPaths
* Rename RecostColumnarIndexPath to CostColumnarIndexPath
* Reorder args of CostColumnarScan to align with other two costing functions
* Not adjust index scan start-up cost
* Rename ColumnarIndexScanAddTotalCost to ColumnarIndexScanAdditionalCost
* Reflect that index scan will at least read one stripe in totalCost calculation
* Organize declarations in columnar_customscan.c
In PG 14, procedures can have OUT parameters. In Citus' procedure
delegation framework, we need to adjust the function expression
to get the outargs parameters.
Releven PG change:
e56bce5d43
It seems like there is a problem with Postgres14 with SELECT DISTINCT
COUNT. The issue is reported to Postgres and an alternative output is
added. We can remove the alternative output when the issue is fixed on
PG. If this is not an issue on PG(which is unlikely) we should consider
some other solution.
In order to avoid adding an alternative output, a function to check if a
given explan plan has a single task added. This doesn't change what the
changed tests intend to do.
Postgres changed stats expression types as of PG14. Hence we needed to
write the AppendColumnNames method. Also they removed the error on PG
side so we remove it as well.
Relevant commits on pg14:
a4d75c86bf15220df22de0a92c819ecef9db3849
388e75ad33489b77cfb9a8590a91e9287d8fb960
There was a small part in multi_partitioning that would need an
alternative output for pg14. Instead of adding an alternative for the
whole file, we created a new file, called partition_wise_join.sql and
added the alternative output for that.
When we check the exact version of the seg extension, it becomes a
problem when its version changes, such as from 1.3 to 1.4. So now we
modified the changes to check for that the version is the same in all
the cluster.
Postgres tightened up its checks for invalid GUC names hence we started
to get an alternative output for one of our tests. We add an alternative
output since the file is relatively small.
Commit on PG:
3db826bd55cd1df0dd8c3d811f8e5b936d7ba1e4
Allow ColumnarScans to push down join quals by generating
parameterized paths. This significantly expands the utility of chunk
group filtering, making a ColumnarScan behave similar to an index when
on the inner of a nested loop join.
Also, evaluate all parameters on beginscan/rescan, which also works
for external parameters.
Fixes#4488.
Before starting to scan a columnar table, we always flush the pending
writes to disk.
However, we increment command counter after modifying metadata tables.
On the other hand, now that we _don't always use_ xact snapshot to scan
a columnar table, writes that we just flushed might not be visible to
the query that just flushed pending writes to disk since curcid of
provided snapshot would become smaller than the command id being used
when modifying metadata tables.
To give an example, before this change, below was a possible scenario
due to the changes that we made to use the correct snapshot.
```sql
CREATE TABLE t(a int, b int) USING columnar;
BEGIN;
INSERT INTO t VALUES (5, 10);
SELECT * FROM t;
┌───┬───┐
│ a │ b │
├───┼───┤
└───┴───┘
(0 rows)
SELECT * FROM t;
┌───┬────┐
│ a │ b │
├───┼────┤
│ 5 │ 10 │
└───┴────┘
(1 row)
```
The logging of the amount of ignored moves crashed when no distributed
tables existed in a cluster. This also fixes in passing that the logging
of ignored moves logs the correct number of ignored moves if there
exist multiple colocation groups and all are rebalanced at the same time.
In our testing infra structure, even though we use pinned versions of postgres, the auxiliary libraries might pull in newer versions. This is for example the case for libpq, which will now use the libpq libraries from 14beta3.
The changes in this PR are a lot due to the libpq changes.
We also have changed the citus version that is used as a base for the citus upgrades, from 10.0 to 10.1 . This caused columnar to enforce some extra limits on the settings, which conflicted with our upgrade tests.
The changes in failure tests are due to the libpq changes.
There are also a lot of changes on isolation tests outputs, hence we
updated all of them.
Co-authored-by: Nils Dijk <nils@citusdata.com>
* We were anyway not testing reserved_offset in any of those tests
but other fields.
* This only happens with compressed columnar tables and is because the
libzstd/liblz4 versions that we have on exttester ci image might be different
than what we might have on our local environments.
- Add support for CRETE INDEX ... ON ONLY: Before that commit we were not sending "ONLY" option to the worker nodes at all. With this commit, "ONLY" parameter will be sent to the worker nodes if it is necessary. (#4938)
- Add support for ALTER INDEX ... ATTACH PARTITION: Attach child_index to parent_index by creating same inheritance on shard level in addition to table level. (#4980)
* Synchronize hasmetadata flag on mx workers
* Switch to sequential execution
* Add test
* Use SetWorkerColumn
* Add test for stop_sync
* Remove usage of UpdateHasmetadataOnWorkersWithMetadata
* Remove MarkNodeMetadataSynced
* Fix test for metadatasynced
* Remove MarkNodeMetadataSynced
* Style
* Remove MarkNodeHasMetadata
* Remove UpdateDistNodeBoolAttr
* Refactor SetWorkerColumn
* Use SetWorkerColumnLocalOnly when setting up dependencies
* Use SetWorkerColumnLocalOnly in TriggerSyncMetadataToPrimaryNodes
* Style
* Make update command generator functions static
* Set metadatasynced before syncing
* Call SetWorkerColumn only if the sync is successful
* Try to sync all nodes
* Fix indexno
* Update metadatasynced locally first
* Break if a node fails to sync metadata
* Send worker commands optional
* Style & Rebase
* Add raiseOnError param to SetWorkerColumn
* Style
* Set metadatasynced for all metadata nodes
* Style
* Introduce SetWorkerColumnOptional
* Polish
* Style
* Dont send set command to not synced metadata nodes
* Style
* Polish
* Add test for stop_sync
* Add test for shouldhaveshards
* Add test for isactive flag
* Sort by placementid in the function verify_metadata
* Cover edge cases for failing nodes
* Add comments
* Add nodeport to isactive test
* Add warning if metadata out of sync
* Update warning message
As we use the current user to sync the metadata to the nodes
with #5105 (and many other PRs), there is no reason that
prevents us to use the coordinated transaction for metadata syncing.
This commit also renames few functions to reflect their actual
implementation.
Before this commit, creating a partition after a DROP column
on the parent (position before dist. key) was leading to
partition to have the wrong distribution column.
update_distributed_table_colocation can be called by the relation
owner, and internally it updates pg_dist_partition. With this
commit, update_distributed_table_colocation uses an internal
UDF to access pg_dist_partition.
As a result, this operation can now be done by regular users
on MX.
Previously, we were only using chunk group reader for sequential scan.
However, to support index scans on columnar tables, now we use very
same low level functions for index scan too.
Since those low-level functions were only used for sequential scan, it
was guaranteed that we would never read the same chunk group more than
once, so we were freeing chunk buffers after deserializing them into a
separate buffer.
Now that we use those low level functions for index scan, we cannot
free chunk buffers since it's possible to read the same chunk group
again, such that:
- read chunk group 1 of stripe 5
- read chunk group 2 of stripe 5
- read chunk group 1 of stripe 5 again
Here, when we decide to read chunk group 1 for a second time,
chunk group 1 is not cached. Plus, before this commit, we were
freeing the chunk buffers for chunk group 1 after the first
read and then we were getting segfault or errors from low-level
de-compression APIs.
* Fix UNION not being pushdown
Postgres optimizes column fields that are not needed in the output. We
were relying on these fields to understand if it is safe to push down a
union query.
This fix looks at the parse query, which has the original column fields
to detect if it is safe to push down a union query.
* Add more tests
* Simplify code and make it more robust
* Process varlevelsup > 0 in FindReferencedTableColumn
* Only look for outers vars in union path
* Add more comments
* Remove UNION ALL specific logic for pulling up childvars
The progress monitor wouldn't actually update the size of the shard on
the target node when using "block_writes" as the `shard_transfer_mode`.
The reason for this is that the CREATE TABLE part of the shard creation
would only be committed once all data was moved as well. This caused
our size calculation to always return 0, since the table did not exist
yet in the session that the progress monitor used.
This is fixed by first committing creation of the table, and only then
starting the actual data copy.
The test output changes slightly. Apparently splitting this up in two
transactions instead of one, increases the table size after the copy by
about 40kB. The additional size used doesn't increase when with the
amount of data in the table is larger (it stays ~40kB per shard). So
this small change in test output is not considered an actual problem.
These two options were not included when creating the sequences on the
workers as part of metadata syncing.
The missing `data_type` part of the definition made finding the cause
of #5126 harder than necessary, because of confusing errors.
Before this commit, we always synced the metadata with superuser.
However, that creates various edge cases such as visibility errors
or self distributed deadlocks or complicates user access checks.
Instead, with this commit, we use the current user to sync the metadata.
Note that, `start_metadata_sync_to_node` still requires super user
because accessing certain metadata (like pg_dist_node) always require
superuser (e.g., the current user should be a superuser).
However, metadata syncing operations regarding the distributed
tables can now be done with regular users, as long as the user
is the owner of the table. A table owner can still insert non-sense
metadata, however it'd only affect its own table. So, we cannot do
anything about that.
With this commit, we add (`CREATE INDEX` / `REINDEX`) `CONCURRENTLY` support for columnar tables.
For that, we implement `columnar_index_validate_scan` callback.
The reasoning behind the implementation is as follows:
* Postgres function `validate_index` provides all the TIDs that are currently in the
index to `columnar_index_validate_scan` callback via a `tupleSort` object..
* We start scanning the table by using `columnar_getnextslot` as usual.
Before moving forward, note that `columnar_getnextslot` guarantees
to return tuples in the order of their TIDs.
* For us to use during table scan, postgres provides a snapshot guaranteeing
that any tuples that are valid according to that snapshot but are not in the
index must be added to the index.
* Then for each tuple that we read from our table, we continue iterating
given `tupleSort` to find the first TID that is greater than or equal to our
tuple's TID.
If both TID's are equal to each other, then we skip the tuple since it's already
indexed.
If the TID that we read from tupleSort is greater then our tuple's TID, then
we decide to insert this tuple into index.
This happens only when we have a "<" or "<=" filter on distribution
column of a range distributed table and that filter falls in between
two shards.
When the filter falls in between two shards:
If the filter is ">" or ">=", then UpperShardBoundary was
returning "upperBoundIndex - 1", where upperBoundIndex is
exclusive shard index used during binary seach.
This is expected since upperBoundIndex is an exclusive
index.
If the filter is "<" or "<=", then LowerShardBoundary was
returning "lowerBoundIndex + 1", where lowerBoundIndex is
inclusive shard index used during binary seach.
On the other hand, since lowerBoundIndex is an inclusive
index, we should just return lowerBoundIndex instead of
doing "+ 1". Before this commit, we were missing leftmost
shard in such queries.
* Remove useless conditional branches
The branch that we delete from UpperShardBoundary was obviously useless.
The other one in LowerShardBoundary became useless after we remove "+ 1"
from there.
This indeed is another proof of what & how we are fixing with this pr.
* Improve comments and add more
* Add some tests for upper bound calculation too
* Add parameter to cleanup metadata
* Set clear metadata default to true
* Add test for clearing metadata
* Separate test file for start/stop metadata syncing
* Fix stop_sync bug for secondary nodes
* Use PreventInTransactionBlock
* DRemovedebuggiing logs
* Remove relation not found logs from mx test
* Revert localGroupId when doing stop_sync
* Move metadata sync test to mx schedule
* Add test with name that needs to be quoted
* Add test for views and matviews
* Add test for distributed table with custom type
* Add comments to test
* Add test with stats, indexes and constraints
* Fix matview test
* Add test for dropped column
* Add notice messages to stop_metadata_sync
* Add coordinator check to stop metadat sync
* Revert local_group_id only if clearMetadata is true
* Add a final check to see the metadata is sane
* Remove the drop verbosity in test
* Remove table description tests from sync test
* Add stop sync to coordinator test
* Change the order in stop_sync
* Add test for hybrid (columnar+heap) partitioned table
* Change error to notice for stop sync to coordinator
* Sync at the end of the test to prevent any failures
* Add test case in a transaction block
* Remove relation not found tests
Ignore orphaned shards in more places
Only use active shard placements in RouterInsertTaskList
Use IncludingOrphanedPlacements in some more places
Fix comment
Add tests
* Alter seq type when we first use the seq in a dist table
* Don't allow type changes when seq is used in dist table
* ALTER SEQUENCE propagation
* Tests for ALTER SEQUENCE propagation
* Relocate AlterSequenceType and ensure dependencies for sequence
* Support for citus local tables, and other fixes
* Final formatting
Moving shards of reference tables was possible in at least one case:
```sql
select citus_disable_node('localhost', 9702);
create table r(x int);
select create_reference_table('r');
set citus.replicate_reference_tables_on_activate = off;
select citus_activate_node('localhost', 9702);
select citus_move_shard_placement(102008, 'localhost', 9701, 'localhost', 9702);
```
This would then remove the reference table shard on the source, causing
all kinds of issues. This fixes that by disallowing all shard moves
except for shards of distributed tables.
Co-authored-by: Onur Tirtir <onurcantirtir@gmail.com>
With a recent commit, we made (644b266dee)
the behaviour of prepared statements for local cached plans has
slightly changed.
Now, Citus caches the plans when they are re-used. This make triggering
of local cached plans on the 7th execution, and 8th execution is the
first time the plan is used from the cached.
So, the tests are improved to cover 8th execution.
With local query caching, we try to avoid deparse/parse stages as the
operation is too costly.
However, we can do deparse/parse operations once per cached queries, right
before we put the plan into the cache. With that, we avoid edge
cases like (4239) or (5038).
In a sense, we are making the local plan caching behave similar for non-cached
local/remote queries, by forcing to deparse the query once.
A shard move would fail if there was an orphaned version of the shard on
the target node. With this change before actually fail, we try to clean
up orphaned shards to see if that fixes the issue.
Sometimes the background daemon doesn't cleanup orphaned shards quickly
enough. It's useful to have a UDF to trigger this removal when needed.
We already had a UDF like this but it was only used during testing. This
exposes that UDF to users. As a safety measure it cannot be run in a
transaction, because that would cause the background daemon to stop
cleaning up shards while this transaction is running.
* Add user-defined sequence support for MX
* Remove default part when propagating to workers
* Fix ALTER TABLE with sequences for mx tables
* Clean up and add tests
* Propagate DROP SEQUENCE
* Removing function parts
* Propagate ALTER SEQUENCE
* Change sequence type before propagation & cleanup
* Revert "Propagate ALTER SEQUENCE"
This reverts commit 2bef64c5a29f4e7224a7f43b43b88e0133c65159.
* Ensure sequence is not used in a different column with different type
* Insert select tests
* Propagate rename sequence stmt
* Fix issue with group ID cache invalidation
* Add ALTER TABLE ALTER COLUMN TYPE .. precaution
* Fix attnum inconsistency and add various tests
* Add ALTER SEQUENCE precaution
* Remove Citus hook
* More tests
Co-authored-by: Marco Slot <marco.slot@gmail.com>
We have a slightly different behavior when using truncate_local_data_after_distributing_table UDF on metadata synced clusters. This PR aims to add tests to cover such cases.
We allow distributing tables with data that have foreign keys to reference tables only on metadata synced clusters. This is the reason why some of my earlier tests failed when run on a single node Citus cluster.
Without this change the rebalancer progress monitor gets the shard sizes
from the `shardlength` column in `pg_dist_placement`. This column needs to
be updated manually by calling `citus_update_table_statistics`.
However, `citus_update_table_statistics` could lead to distributed
deadlocks while database traffic is on-going (see #4752).
To work around this we don't use `shardlength` column anymore. Instead
for every rebalance we now fetch all shard sizes on the fly.
Two additional things this does are:
1. It adds tests for the rebalance progress function.
2. If a shard move cannot be done because a source or target node is
unreachable, then we error in stop the rebalance, instead of showing
a warning and continuing. When using the by_disk_size rebalance
strategy it's not safe to continue with other moves if a specific
move failed. It's possible that the failed move made space for the
next move, and because the failed move never happened this space now
does not exist.
3. Adds two new columns to the result of `get_rebalancer_progress` which
shows the size of the shard on the source and target node.
Fixes#4930
DESCRIPTION: Add support for ALTER DATABASE OWNER
This adds support for changing the database owner. It achieves this by marking the database as a distributed object. By marking the database as a distributed object it will look for its dependencies and order the user creation commands (enterprise only) before the alter of the database owner. This is mostly important when adding new nodes.
By having the database marked as a distributed object it can easily understand for which `ALTER DATABASE ... OWNER TO ...` commands to propagate by resolving the object address of the database and verifying it is a distributed object, and hence should propagate changes of owner ship to all workers.
Given the ownership of the database might have implications on subsequent commands in transactions we force sequential mode for transactions that have a `ALTER DATABASE ... OWNER TO ...` command in them. This will fail the transaction with meaningful help when the transaction already executed parallel statements.
By default the feature is turned off since roles are not automatically propagated, having it turned on would cause hard to understand errors for the user. It can be turned on by the user via setting the `citus.enable_alter_database_owner`.
We often change result types of functions slightly. Our downgrade tests
wouldn't notice these changes. This change adds them to the description
of these items.
An example of an SQL change that isn't caught without this change and is
caught with the get_rebalance_progress change in this PR:
https://github.com/citusdata/citus/pull/4963
DESCRIPTION: introduce `citus.local_hostname` GUC for connections to the current node
Citus once in a while needs to connect to itself for some systems operations. This used to be hardcoded to `localhost`. The hardcoded hostname causes some issues, for example in environments where `sslmode=verify-full` is required. It is not always desirable or even feasible to get `localhost` as an alt name on the certificate.
By introducing a GUC to use when connecting to the current instance the user has more control what network path is used and what hostname is required to be present in the server certificate.
Every move in the rebalancer algorithm results in an improvement in the
balance. However, even if the improvement in the balance was very small
the move was still chosen. This is especially problematic if the shard
itself is very big and the move will take a long time.
This changes the rebalancer algorithm to take the relative size of the
balance improvement into account when choosing moves. By default a move
will not be chosen if it improves the balance by less than half of the
size of the shard. An extra argument is added to the rebalancer
functions so that the user can decide to lower the default threshold if
the ignored move is wanted anyway.
* Columnar: introduce columnar storage API.
This new API is responsible for the low-level storage details of
columnar; translating large reads and writes into individual block
reads and writes that respect the page headers and emit WAL. It's also
responsible for the columnar metapage, resource reservations (stripe
IDs, row numbers, and data), and truncation.
This new API is not used yet, but will be used in subsequent
forthcoming commits.
* Columnar: add columnar_storage_info() for debugging purposes.
* Columnar: expose ColumnarMetadataNewStorageId().
* Columnar: always initialize metapage at creation time.
This avoids the complexity of dealing with tables where the metapage
has not yet been initialized.
* Columnar: columnar storage upgrade/downgrade UDFs.
Necessary upgrade/downgrade step so that new code doesn't see an old
metapage.
* Columnar: improve metadata.c comment.
* Columnar: make ColumnarMetapage internal to the storage API.
Callers should not have or need direct access to the metapage.
* Columnar: perform resource reservation using storage API.
* Columnar: implement truncate using storage API.
* Columnar: implement read/write paths with storage API.
* Columnar: add storage tests.
* Revert "Columnar: don't include stripe reservation locks in lock graph."
This reverts commit c3dcd6b9f8.
No longer needed because the columnar storage API takes care of
concurrency for resource reservation.
* Columnar: remove unnecessary lock when reserving.
No longer necessary because the columnar storage API takes care of
concurrent resource reservation.
* Add simple upgrade tests for storage/ branch
* fix multi_extension.out
Co-authored-by: Onur Tirtir <onurcantirtir@gmail.com>
* When moving a shard to a new node ensure there is enough space
* Add WairForMiliseconds time utility
* Add more tests and increase readability
* Remove the retry loop and use a single udf for disk stats
* Address review
* address review
Co-authored-by: Jelte Fennema <github-tech@jeltef.nl>
As long as the VALUES clause contains constant values, we should not
recursively plan the queries/CTEs.
This is a follow-up work of #1805. So, we can easily apply OUTER join
checks as if VALUES clause is a reference table/immutable function.
This commit adds support for long partition names for distributed tables:
- ALTER TABLE dist_table ATTACH PARTITION ..
- CREATE TABLE .. PARTITION OF dist_table ..
Note: create_distributed_table UDF does not support long table and
partition names, and is not covered in this commit
* Introduce 3 partitioned size udfs
* Add tests for new partition size udfs
* Fix type incompatibilities
* Convert UDFs into pure sql functions
* Fix function comment
Earlier versions of Citus (pre 9.0) had a bug where a user was able to get in a situation where a foreign key between two non-colocated tables was allowed. This was caused by the wrongful scoping together with only setting to on of a boolean variable in a loop, causing the `true` from an earlier iteration to leak into a new iteration.
This was 'by accident' solved in a refactor that was executed in the preparation of the 9.0 release. Only recently we had a user running into this and it was tracked down to this behaviour.
Given the dire situation a user could get them self into when running into this bug we have backported a fix to the latest 8.3 release branch.
To make sure this regression does not happen anymore in the future I propose we add the tests from the backport to our mainline.
For reference: https://github.com/citusdata/citus/pull/4840
Because setting the flag doesn't necessarily mean that we'll
use 2PC. If connections are read-only, we will not use 2PC.
In other words, we'll use 2PC only for connections that modified
any placements.
Before this commit, Citus used 2PC no matter what kind of
local query execution happens.
For example, if the coordinator has shards (and the workers as well),
even a simple SELECT query could start 2PC:
```SQL
WITH cte_1 AS (SELECT * FROM test LIMIT 10) SELECT count(*) FROM cte_1;
```
In this query, the local execution of the shards (and also intermediate
result reads) triggers the 2PC.
To prevent that, Citus now distinguishes local reads and local writes.
And, Citus switches to 2PC only if a modification happens. This may
still lead to unnecessary 2PCs when there is a local modification
and remote SELECTs only. Though, we handle that separately
via #4587.
Postgres keeps AFTER trigger state for each transaction, because we can have deferred AFTER triggers which will be fired at the end of a transaction. Postgres cleans up this state at the end of transaction.
Postgres processes ON COMMIT triggers after cleaning-up the AFTER trigger states. So if we fire any triggers in ON COMMIT, the AFTER trigger state won't be cleaned-up properly and the transaction state will be left in an inconsistent state, which might result in assertion failure.
So with this commit, we remove foreign keys between columnar metadata tables and enforce constraints between them manually when dropping columnar tables.
* Skip 2PC for readonly connections in a transaction
* Use ConnectionModifiedPlacement() function
* Remove the second check of ConnectionModifiedPlacement()
* Add order by to prevent flaky output
* Test using pg_dist_transaction
With this commit, we make sure to prevent infinite recursion for queries
in the format: [subquery with a UNION ALL] JOIN [table or subquery]
Also, fixes a bug where we pushdown UNION ALL below a JOIN even if the
UNION ALL is not safe to pushdown.
* Reimplement citus_update_table_statistics
* Update stats for the given table not colocation group
* Add tests for reimplemented citus_update_table_statistics
* Use coordinated transaction, merge with citus_shard_sizes functions
* Update the old master_update_table_statistics as well
* Use translated vars in postgres 13 as well
Postgres 13 removed translated vars with pg 13 so we had a special logic
for pg 13. However it had some bug, so now we copy the translated vars
before postgres deletes it. This also simplifies the logic.
* fix rtoffset with pg >= 13
/*
* The physical planner assumes that all worker queries would have
* target list entries based on the fact that at least the column
* on the JOINs have to be on the target list. However, there is
* an exception to that if there is a cartesian product join and
* there is no additional target list entries belong to one side
* of the JOIN. Once we support cartesian product join, we should
* remove this error.
*/
When executing alter_table / undistribute_table udf's, we should not try
to change sequence dependencies on MX workers if new table wouldn't
require syncing metadata.
Previously, we were checking that for input table. But in some cases, the
fact that input table requires syncing metadata doesn't imply the same
for resulting table (e.g when undistributing a Citus table).
Even more, doing that was giving an unexpected error when undistributing
a Citus table so this commit actually fixes that.
It seems that we need to consider only pseudo constants while doing some
shortcuts in planning. For example there could be a false clause but it
can contribute to the result in which case it will not be a pseudo
constant.
We would exclude tables without relationRestriction from conversion
candidates in local-distributed table joins. This could leave a leftover
local table which should have been converted to a subquery.
Ideally I would expect that in each call to CreateDistributedPlan we
would pass a new plan id, but that seems like a bigger change.
/*
* Colocated intermediate results are just files and not required to use
* the same connections with their co-located shards. So, we are free to
* use any connection we can get.
*
* Also, the current connection re-use logic does not know how to handle
* intermediate results as the intermediate results always truncates the
* existing files. That's why, we use one connection per intermediate
* result.
*/
We do not include dummy column if original task didn't return any
columns.
Otherwise, number of columns that original task returned wouldn't
match number of columns returned by worker_save_query_explain_analyze.
When COPY is used for copying into co-located files, it was
not allowed to use local execution. The primary reason was
Citus treating co-located intermediate results as co-located
shards, and COPY into the distributed table was done via
"format result". And, local execution of such COPY commands
was not implemented.
With this change, we implement support for local execution with
"format result". To do that, we use the buffer for every file
on shardState->copyOutState, similar to how local copy on
shards are implemented. In fact, the logic is similar to
local copy on shards, but instead of writing to the shards,
Citus writes the results to a file.
The logic relies on LOCAL_COPY_FLUSH_THRESHOLD, and flushes
only when the size exceeds the threshold. But, unlike local
copy on shards, in this case we write the headers and footers
just once.
With #4338, the executor is smart enough to failover to
local node if there is not enough space in max_connections
for remote connections.
For COPY, the logic is different. With #4034, we made COPY
work with the adaptive connection management slightly
differently. The cause of the difference is that COPY doesn't
know which placements are going to be accessed hence requires
to get connections up-front.
Similarly, COPY decides to use local execution up-front.
With this commit, we change the logic for COPY on local nodes:
Try to reserve a connection to local host. This logic follows
the same logic (e.g., citus.local_shared_pool_size) as the
executor because COPY also relies on TryToIncrementSharedConnectionCounter().
If reservation to local node fails, switch to local execution
Apart from this, if local execution is disabled, we follow the
exact same logic for multi-node Citus. It means that if we are
out of the connection, we'd give an error.
It seems that we were not considering the case where coordinator was
added to the cluster as a worker in the optimization of intermediate
results.
This could lead to errors when coordinator was added as a worker.
pg_get_tableschemadef_string doesn't know how to deparse identity
columns so we cannot reflect those columns when creating table
from scratch. For this reason, we don't allow using alter_table udfs
with tables having any identity cols.
pg_get_tableschemadef_string doesn't know how to deparse identity
columns so we cannot reflect those columns when creating shell
relation.
For this reason, we don't allow adding local tables -having identity cols-
to metadata.
Postgres doesn't allow inserting into columns having GENERATED ALWAYS
AS (...) STORED expressions.
For this reason, when executing undistribute_table or an alter_* udf,
we should skip copying such columns.
This is not bad since Postgres would already generate such columns.
Enables an overall plan to be parallel (e.g. over a partition
hierarchy), even though an individual ColumnarScan is not
parallel-aware.
Co-authored-by: Jeff Davis <jefdavi@microsoft.com>
Previously, if columnar.enable_custom_scan was false, parallel paths
could remain, leading to an unexpected error.
Also, ensure that cheapest_parameterized_paths is cleared if a custom
scan is used.
Co-authored-by: Jeff Davis <jefdavi@microsoft.com>
When finding columns owning sequences, we shouldn't rely on atthasdef
since it might be true when column has GENERATED ALWAYS AS (...)
STORED expression.
* Fix partition column index issue
We send column names to worker_hash/range_partition_table methods, and
in these methods we check the column name index from tuple descriptor.
Then this index is used to decide the bucket that the current row will
be sent for the repartition.
This becomes a problem when there are the same column names in the
tupleDescriptor. Then we can choose the wrong index. Hence the
partitioned data will be put to wrong workers. Then the result could
miss some data because workers might contain different range of data.
An example:
TupleDescriptor contains "trip_id", "car_id", "car_id" for one table.
It contains only "car_id" for the other table. And assuming that the
tables will be partitioned by car_id, it is not certain what should be
used for deciding the bucket number for the first table. Assuming value
2 goes to bucket 2 and value 3 goes to bucket 3, it is not certain which
bucket "1 2 3" (trip_id, car_id, car_id) row will go to.
As a solution we send the index of partition column in targetList
instead of the column name.
The old API is kept so that if workers upgrade work, it still works
(though it will have the same bug)
* Use the same method so that backporting is easier
Fixing a division by zero in the cost calculations for scanning a columnar table.
Due to how the columns in a columnar table are counted an empty table would result in a division by zero. Instead this patch keeps the column selection ratio on zero when this happens, resulting in an accurate cost of zero pages to scan a columnar table.
fixes#4589
Onder Kalaci
Önder Kalacı
Marco Slot
Sait Talha Nisanci
Halil Ozan Akgul
Ahmet Gedemenli
Teja Mupparti
Naisila Puka
Hanefi Onaldi
Onur Tirtir
tejeswarm
jeff-davis
Jelte Fennema
Burak Velioglu
naisila
Nils Dijk
Philip Dubé
Hadi Moshayedi
Jeff Davis
Hadi Moshayedi
Brian Bergeron