* Introduce 3 partitioned size udfs
* Add tests for new partition size udfs
* Fix type incompatibilities
* Convert UDFs into pure sql functions
* Fix function comment
ConnParams(AuthInfo and PoolInfo) gets a snapshot, which will block the
remote connectinos to localhost. And the release of snapshot will be
blocked by the snapshot. This leads to a deadlock.
We warm up the conn params hash before starting a new transaction so
that the entries will already be there when we start a new transaction.
Hence GetConnParams will not get a snapshot.
* Columnar: use clause Vars for chunk group filtering.
This solves #4780 and also provides a cleaner separation between chunk
group filtering and projection pushdown.
* Columnar: sort and deduplicate Vars pulled from clauses.
* Columnar: cleanup variable names.
* Columnar: remove alternate test output.
* Columnar: do not recurse when looking for whereClauseVars.
Co-authored-by: Jeff Davis <jefdavi@microsoft.com>
comparable to https://github.com/citusdata/tools/pull/88
this patch adds checks to the perl script running the testing harness of citus to start the postgres instances via the fixopen binary when present to work around `Interrupted System` call errors on OSX Big Sur.
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
With https://github.com/citusdata/citus/pull/4806 we enabled
2PC for any non-read-only local task. However, if the execution
is a single task, enabling 2PC (CoordinatedTransactionShouldUse2PC)
hits an assertion as we are not in a coordinated transaction.
There is no downside of using a coordinated transaction for single
task local queries.
* Columnar: fix misnamed file.
* Columnar: make compression not dependent on columnar.h.
* Columnar: rename columnar_metadata_tables.c to columnar_metadata.c.
* Columnar: make customscan not depend on columnar.h.
Co-authored-by: Jeff Davis <jefdavi@microsoft.com>
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 we use PROCESS_UTILITY_TOPLEVEL it causes some problems when
combined with other extensions such as pg_audit. With this commit we use
PROCESS_UTILITY_QUERY in the codebase to fix those problems.
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.
* Sort results in citus_shards and give raw size
Sort results so that it is consistent and also similar to citus_tables.
Use raw size in the output so that doing operations on the size is
easier.
* Change column ordering
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.
Since create_citus_local_table doesn't specify cascadeViaForeignKeys
option, we can't directly call citus_add_local_table_to_metadata
from create_citus_local_table.
Instead, implement an internal method and call it from deprecated udf
too.
* 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
In pg11.8 it seemingly tries to parse the full sql file creating the extension,
since we use syntax introduced in postgres 12 this fails.
This patch rewrites the statement not recognized by pg11.8 to be dynamically
executed from a string literal via `EXECUTE`.
* Make undistribute_table() and citus_create_local_table() work with columnar
* Rename and use LocallyExecuteUtilityTask for UDF check
* Remove 'local' references in ExecuteUtilityCommand
As described in the comment, we have observed crashes in production
due to a segfault caused by the dereference of a NULL pointer in our
connection statemachine.
As a mitigation, preventing system crashes, we provide an error with
a small explanation of the issue. Unfortunately the case is not
reliably reproduced yet, hence the inability to add tests.
DESCRIPTION: Prevent segfaults when SAVEPOINT handling cannot recover from connection failures
Currently we choose an arbitrary colocation id from all the matches for
a colocation id. This could mean that 2 distributed tables, which have
the same scheme could go into different colocation groups. This fix
makes sure that the same match will go to the same colocation group.
/*
* Creating Citus local tables relies on functions that accesses
* shards locally (e.g., ExecuteAndLogDDLCommand()). As long as
* we don't teach those functions to access shards remotely, we
* cannot relax this check.
*/
Logical replication status can take wal_receiver_status_interval
seconds to get updated. Default is 10s, which means tests in
which logical replication is used can take a long time to finish.
We reduce it to 1 second to speed these tests up.
Logical replication apply launcher launches workers every
wal_retrieve_retry_interval, so if we have many shard moves with
logical replication consecutively, they will be throttled by this
parameter. Default is 5s, we reduce it to 1s so we finish tests
faster.
The reason behind skipping postgres tables is that we support
foreign keys between postgres tables and reference tables
(without converting postgres tables to citus local tables)
when enable_local_reference_table_foreign_keys is false or
when coordinator is not added to metadata.
For certaion purposes, we drop and recreate the foreign
keys. As we acquire exclusive locks on the tables in between
drop and re-create, we can safely skip validation phase of
the foreign keys. The reason is purely being performance as
foreign key validation could take a long value.
When enabled any foreign keys between local tables and reference
tables supported by converting the local table to a citus local
table.
When the coordinator is not in the metadata, the logic is disabled
as foreign keys are not allowed in this configuration.
Because master_add_node(or others) might acquire ExclusiveLock
and their initiated sessions may call CoordinatorAddedAsWorkerNode().
With this we prevent potential deadlocks.
If relation is not involved in any foreign key relationships,
foreign key graph would not return any relations for given
relationId as expected.
But even if it's the case, we should still undistribute the table
itself.
DESCRIPTION: Add tests to verify crash recovery for columnar tables
Based on the Postgres TAP tooling we add a new test suite to the array of test suites for citus. It is modelled after `src/test/recovery` in the postgres project and takes the same place in our repository. It uses the perl modules defined in the postgres project to control the postgres nodes.
The test we add here focus on crash recovery. Our follower tests should cover the streaming replication behaviour.
It is hooked to our CI for both postgres 12 and postgres 13. We omit the recovery tests for postgres 11 as we do not have support for the columnar table access method.
* Stronger check for triggers on columnar tables (#4493).
Previously, we used a simple ProcessUtility_hook. Change to use an
object_access_hook instead.
* Replace alter_table_set_access_method test on partition with foreign key
Co-authored-by: Jeff Davis <jefdavi@microsoft.com>
Co-authored-by: Marco Slot <marco.slot@gmail.com>
With citus shard helper view, we can easily see:
- where each shard is, which node, which port
- what kind of table it belongs to
- its size
With such a view, we can see shards that have a size bigger than some
value, which could be useful. Also debugging can be easier in production
as well with this view.
Fetch shards in one go per node
The previous implementation was slow because it would do a lot of round
trips, one per shard to be exact. Hence it is improved so that we fetch
all the shard_name, shard-size pairs per node in one go.
Construct shards_names, sizes query on coordinator
* Replace master_add_node with citus_add_node
* Replace master_activate_node with citus_activate_node
* Replace master_add_inactive_node with citus_add_inactive_node
* Use master udfs in old scripts
* Replace master_add_secondary_node with citus_add_secondary_node
* Replace master_disable_node with citus_disable_node
* Replace master_drain_node with citus_drain_node
* Replace master_remove_node with citus_remove_node
* Replace master_set_node_property with citus_set_node_property
* Replace master_unmark_object_distributed with citus_unmark_object_distributed
* Replace master_update_node with citus_update_node
* Replace master_update_shard_statistics with citus_update_shard_statistics
* Replace master_update_table_statistics with citus_update_table_statistics
* Rename master_conninfo_cache_invalidate to citus_conninfo_cache_invalidate
Rename master_dist_local_group_cache_invalidate to citus_dist_local_group_cache_invalidate
* Replace master_copy_shard_placement with citus_copy_shard_placement
* Replace master_move_shard_placement with citus_move_shard_placement
* Rename master_dist_node_cache_invalidate to citus_dist_node_cache_invalidate
* Rename master_dist_object_cache_invalidate to citus_dist_object_cache_invalidate
* Rename master_dist_partition_cache_invalidate to citus_dist_partition_cache_invalidate
* Rename master_dist_placement_cache_invalidate to citus_dist_placement_cache_invalidate
* Rename master_dist_shard_cache_invalidate to citus_dist_shard_cache_invalidate
* Drop master_modify_multiple_shards
* Rename master_drop_all_shards to citus_drop_all_shards
* Drop master_create_distributed_table
* Drop master_create_worker_shards
* Revert old function definitions
* Add missing revoke statement for citus_disable_node
CREATE TABLE does not invalidate foreign key graph but some other set of
ddl commands do.
Previously, as we run multi_foreign_key & multi_foreign_key_relation_graph
in parallel, it's possible that multi_foreign_key invalidates foreign key
graph via some ddl commands and create table test in
multi_foreign_key_relation_graph becomes flaky.
So we un-parallelize those two tests.
We used to need WarnAboutLeakedPreparedTransaction()
as we didn't have auto 2PC recovery. But, we long have
2PC recovery by https://github.com/citusdata/citus/pull/1574
So, we don't need anymore.
* Rethrow original concurrent index creation failure message
* Alter test outputs for concurrent index creation
* Detect duplicate table failure in concurrent index creation
* Add test for conc. index creation w/out duplicates
* Prevent deadlock for long named partitioned index creation on single node
* Create IsSingleNodeCluster function
* Use both local and sequential execution
Ahmet Gedemenli
Onur Tirtir
jeff-davis
SaitTalhaNisanci
Halil Ozan Akgul
Hanefi Önaldı
Nils Dijk
dependabot[bot]
Önder Kalacı
Marco Slot
Onder Kalaci
Naisila Puka
Philip Dubé
Hadi Moshayedi
Hadi Moshayedi
Jeff Davis
Brian Bergeron