Comment from the code is clear on this:
/*
* The statistics objects of the distributed table are not relevant
* for the distributed planning, so we can override it.
*
* Normally, we should not need this. However, the combination of
* Postgres commit 269b532aef55a579ae02a3e8e8df14101570dfd9 and
* Citus function AdjustPartitioningForDistributedPlanning()
* forces us to do this. The commit expects statistics objects
* of partitions to have "inh" flag set properly. Whereas, the
* function overrides "inh" flag. To avoid Postgres to throw error,
* we override statlist such that Postgres does not try to process
* any statistics objects during the standard_planner() on the
* coordinator. In the end, we do not need the standard_planner()
* on the coordinator to generate an optimized plan. We call
* into standard_planner() for other purposes, such as generating the
* relationRestrictionContext here.
*
* AdjustPartitioningForDistributedPlanning() is a hack that we use
* to prevent Postgres' standard_planner() to expand all the partitions
* for the distributed planning when a distributed partitioned table
* is queried. It is required for both correctness and performance
* reasons. Although we can eliminate the use of the function for
* the correctness (e.g., make sure that rest of the planner can handle
* partitions), it's performance implication is hard to avoid. Certain
* planning logic of Citus (such as router or query pushdown) relies
* heavily on the relationRestrictionList. If
* AdjustPartitioningForDistributedPlanning() is removed, all the
* partitions show up in the, causing high planning times for
* such queries.
*/
The PR introduces code changes to fix Issue
[6303](https://github.com/citusdata/citus/issues/6303)
`create_distributed_table_concurrently` following drop column, creates a
buggy situation in split decoder.
* Consider the below scenario:
* Session1 : Drop column followed by
create_distributed_table_concurrently
* Session2 : Concurrent insert workload
The child shards created by `create_distributed_table_concurrently` will
have less columns than the source shard because some column were
dropped. The incoming tuple from session2 will have more columns as the
writes happened on source shard. But now the tuple needs to be applied
on child shard. So we need to format existing tuple according to child
schema and skip dropped column values.
The PR fixes this by reformatting the tuple according the target child
schema.
Test:
1) isolation_create_distributed_concurrently_after_drop_column - Repros
the issue and tests on the same.
DESCRIPTION: Fixes floating exception during
create_distributed_table_concurrently.
Fixes#6332.
During create_distributed_table_concurrently, when there is no active
primary node, it fails with floating exception. We added similar check
with create_distributed_table. It will fail with proper message if
current active node is less than replication factor.
(cherry picked from commit 739b91afa6)
No need for description, fixing issue introduced with new feature for
11.1
Fixes#6333
Due to Postgres' C api being o-indexed and postgres' attributes being
1-indexed, we were reading the wrong Datum as the Task owner when
cancelling. Here we add a test to show the error and fix the off-by-one
error.
When I built Citus on PG15beta4 locally, I get a warning message.
```
utils/background_jobs.c:902:5: warning: declaration does not declare anything
[-Wmissing-declarations]
__attribute__((fallthrough));
^
1 warning generated.
```
This is a hint to the compiler that we are deliberately falling through
in a switch-case block.
DESCRIPTION: Show citus_copy_shard_placement progress in
get_rebalance_progress
When rebalancing to a new node that does not have reference tables yet
the rebalancer will first copy the reference tables to the nodes.
Depending on the size of the reference tables, this might take a long
time. However, there's no indication of what's happening at this stage
of the rebalance.
This PR improves this situation by also showing the progress of any
citus_copy_shard_placement calls when calling get_rebalance_progress.
We can now do the following:
- Distribute sequence with logged/unlogged option
- ALTER TABLE my_sequence SET LOGGED/UNLOGGED
- ALTER SEQUENCE my_sequence SET LOGGED/UNLOGGED
Relevant PG commit
344d62fb9a
PG15 introduces `CLUSTER` commands for partitioned tables. Similar to a
`CLUSTER` command with no supplied table names, these commands also can
not be run inside transaction blocks and therefore can not be propagated
in a distributed transaction block with ease. Therefore we raise warnings.
Relevant PG commit: cfdd03f45e6afc632fbe70519250ec19167d6765
DESCRIPTION: Add a rebalancer that uses background tasks for its
execution
Based on the baclground jobs and tasks introduced in #6296 we implement
a new rebalancer on top of the primitives of background execution. This
allows the user to initiate a rebalance and let Citus execute the long
running steps in the background until completion.
Users can invoke the new background rebalancer with `SELECT
citus_rebalance_start();`. It will output information on its job id and
how to track progress. Also it returns its job id for automation
purposes. If you simply want to wait till the rebalance is done you can
use `SELECT citus_rebalance_wait();`
A running rebalance can be canelled/stopped with `SELECT
citus_rebalance_stop();`.
Reverting the following commits:
977ddaae564a5cf06def9ae19c181f30447117e5f9c43f433221dba4ed08262932da3e
We have to manually make changes to this file.
Follow the relevant PG commit in ruleutils.c & make the exact same changes in ruleutils_15.c
Relevant PG commit:
96ef3237bf741c12390003e90a4d7115c0c854b7
PG 15 added support for that (d6f96ed94e73052f99a2e545ed17a8b2fdc1fb8a).
We also add support, but we already do not support ON DELETE SET
NULL/DEFAULT for distribution column. So, in essence, we add support for
reference tables and Citus local tables.
Semi-related: We should really consider fixing:
https://github.com/citusdata/citus/issues/6318
PG 15 added support for that (d6f96ed94e73052f99a2e545ed17a8b2fdc1fb8a).
We also add support, but we already do not support ON DELETE SET NULL/DEFAULT
for distribution column. So, in essence, we add support for reference tables
and Citus local tables.
The logical replication catchup part for shard splits and shard moves is
very similar. This abstracts most of that similarity away into a single
function. This also improves the logic for non blocking shard splits a
bit, by using faster foreign key creation. It also parallelizes index creation
which shard moves were already doing, but shard splits did not.
DESCRIPTION: Add infrastructure to run long running management operations in background
This infrastructure introduces the primitives of jobs and tasks.
A task consists of a sql statement and an owner. Tasks belong to a
Job and can depend on other tasks from the same job.
When there are either runnable or running tasks we would like to
make sure a bacgrkound task queue monitor process is running. A Task
could be in running state while there is actually no monitor present
due to a database restart or failover. Once the monitor starts it
will reset any running task to its runnable state.
To make sure only one background task queue monitor is ever running
at once it will acquire an advisory lock that self conflicts.
Once a task is done it will find all tasks depending on this task.
After checking that the task doesn't have unmet dependencies it will
transition the task from blocked to runnable state for the task to
be picked up on a subsequent task start.
Currently only one task can be running at a time. This can be
improved upon in later releases without changes to the higher level
API.
The initial goal for this background tasks is to allow a rebalance
to run in the background. This will be implemented in a subsequent PR.
Previously we would create foreign keys to reference table in an extra
fast way at the end of a shard move. This uses that same logic to also
do it for foreign keys between distributed tables.
Fixes#6141
Introduces a new GUC named citus.skip_constraint_validation, which basically skips constraint validation when set to on.
For some several places that we hack to skip the foreign key validation phase, now we use this GUC.
When introducing our overrides of pg_cancel_backend and
pg_terminate_backend we accidentally did that in such a way that we
cannot call the original pg_cancel_backend and pg_terminate_backend from
C anymore. This happened because we defined the exact same symbols in
our shared library as postgres does in its own binary.
This fixes that by using a different names for the C function than for
the SQL function.
Making this work in all upgrade and downgrade scenarios is not trivial
though, because we actually need to remove the C function definition.
Postgres errors in two different times when the symbol that a C function
wants to call is not defined in the library it expects it in:
1. When creating the SQL function definition
2. When calling the SQL function
Item 1 causes an issue when creating our extension for the first time.
We then go execute all the migrations that we have. So if the 11.0
migration contains a SQL function definition that still references the
pg_cancel_backend symbol, that migration will fail. This issue is solved
by actually changing the SQL definition in the old migration.
This is not enough to fix all issues though. Item 2 causes an issue
after an upgrade to 11.1, because it won't have the new definition of
the SQL function. This is solved by recreating the SQL functions in the
migration to 11.1. That way it gets the new definition.
Then finally there's the case of downgrades. To continue to make our
pg_cancel_backend SQL function work after downgrading, we will need to
make a patch release for 11.0 that includes the new citus_cancel_backend
symbol. This is done in a separate commit.
DESCRIPTION:
This PR adds support for 'Deferred Drop' and robust 'Shard Cleanup' for Splits.
Common Infrastructure
This PR introduces new common infrastructure so as any operation that wants robust cleanup of resources can register with the cleaner and have the resources cleaned appropriately based on a specified policy. 'Shard Split' is the first consumer using this new infrastructure.
Note : We only support adding 'shards' as resources to be cleaned-up right now but the framework will be extended to support other resources in future.
Deferred Drop for Split
Deferred Drop Support ensures that shards undergoing split are not dropped inline as part of operation but dropped later when no active read queries are running on shard. This helps with :
Avoids any potential deadlock scenarios that can cause long running Split operation to rollback.
Avoids Split operation blocking writes and then getting blocked (due to running queries on the shard) when trying to drop shards.
Deferred drop is the new default behavior going forward.
Shard Cleaner Extension
Shard Cleaner is a background task responsible for deferred drops in case of 'Move' operations.
The cleaner has been extended to ensure robust cleanup of shards (dummy shards and split children) in case of a failure based on the new infrastructure mentioned above. The cleaner also handles deferred drop for 'Splits'.
TESTING:
New test ''citus_split_shard_by_split_points_deferred_drop' to test deferred drop support.
New test 'failure_split_cleanup' to test shard cleanup with failures in different stages.
Update 'isolation_blocking_shard_split and isolation_non_blocking_shard_split' for deferred drop.
Added non-deferred drop version of existing tests : 'citus_split_shard_no_deferred_drop' and 'citus_non_blocking_splits_no_deferred_drop'
* Fix issue : 6109 Segfault or (assertion failure) is possible when using a SQL function
* DESCRIPTION: Ensures disallowing the usage of SQL functions referencing to a distributed table and prevents a segfault.
Using a SQL function may result in segmentation fault in some cases.
This change fixes the issue by throwing an error message when a SQL function cannot be handled.
Fixes#6109.
* DESCRIPTION: Ensures disallowing the usage of SQL functions referencing to a distributed table and prevents a segfault.
Using a SQL function may result in segmentation fault in some cases. This change fixes the issue by throwing an error message when a SQL function cannot be handled.
Fixes#6109.
Co-authored-by: Emel Simsek <emel.simsek@microsoft.com>
PG15 allows numeric scale to be negative or greater than precision. This
causes issues and we may end up routing queries to a wrong shard due to
differing hash results after rounding.
Formerly, when specifying NUMERIC(precision, scale), the scale had to be
in the range [0, precision], which was per SQL spec. PG15 extends the
range of allowed scales to [-1000, 1000].
A negative scale implies rounding before the decimal point. For
example, a column might be declared with a scale of -3 to round values
to the nearest thousand. Note that the display scale remains
non-negative, so in this case the display scale will be zero, and all
digits before the decimal point will be displayed.
Relevant PG commit: 085f931f52494e1f304e35571924efa6fcdc2b44
Pre PG15, renaming child triggers on partitions is allowed. When
creating a trigger in a distributed parent partitioned table, the
triggers on the shards of the partitions have the same name with
the triggers on the corresponding parent shards of the parent
table. Therefore, they don't have the same appended shard id as
the shard id of the partition. Hence, when trying to rename a
child trigger on a partition of a distributed table, we can't
correctly find the triggers on the shards of the partition in
order to rename them since we append a different shard id to the
name of the trigger. Since we can't find the trigger we get a
misleading error of inexistent trigger.
In this commit we prohibit renaming child triggers on distributed
partitions altogether.
Sometimes in CI our isolation_citus_dist_activity test fails randomly
like this:
```diff
step s2-view-dist:
SELECT query, citus_nodename_for_nodeid(citus_nodeid_for_gpid(global_pid)), citus_nodeport_for_nodeid(citus_nodeid_for_gpid(global_pid)), state, wait_event_type, wait_event, usename, datname FROM citus_dist_stat_activity WHERE query NOT ILIKE ALL(VALUES('%pg_prepared_xacts%'), ('%COMMIT%'), ('%BEGIN%'), ('%pg_catalog.pg_isolation_test_session_is_blocked%'), ('%citus_add_node%')) AND backend_type = 'client backend' ORDER BY query DESC;
query |citus_nodename_for_nodeid|citus_nodeport_for_nodeid|state |wait_event_type|wait_event|usename |datname
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------+-------------------------+-------------------+---------------+----------+--------+----------
INSERT INTO test_table VALUES (100, 100);
|localhost | 57636|idle in transaction|Client |ClientRead|postgres|regression
-(1 row)
+
+ SELECT coalesce(to_jsonb(array_agg(csa_from_one_node.*)), '[{}]'::JSONB)
+ FROM (
+ SELECT global_pid, worker_query AS is_worker_query, pg_stat_activity.* FROM
+ pg_stat_activity LEFT JOIN get_all_active_transactions() ON process_id = pid
+ ) AS csa_from_one_node;
+ |localhost | 57636|active | | |postgres|regression
+(2 rows)
step s3-view-worker:
```
Source: https://app.circleci.com/pipelines/github/citusdata/citus/26692/workflows/3406e4b4-b686-4667-bec6-8253ee0809b1/jobs/765119
I intended to fix this with #6263, but the fix turned out to be
insufficient. This PR tries to address the issue by setting
distributedCommandOriginator correctly in more situations. However, even
with this change it's still possible to reproduce the flaky test in CI.
In any case this should fix at least some instances of this issue.
In passing this changes the isolation_citus_dist_activity test to allow
running it multiple times in a row.
PRE PG15, Renaming the parent triggers on partitioned tables doesn't
recurse to renaming the child triggers on the partitions as well.
In PG15, Renaming triggers on partitioned tables
recurses to renaming the triggers on the partitions as well.
Add an upgrade test to make sure we are not breaking anything
with distributed triggers on distributed partitioned tables.
Relevant PG commit:
80ba4bb383538a2ee846fece6a7b8da9518b6866
pg_dist_node and pg_dist_colocation have a primary key index, not a replica identity index.
Citus catalog tables are created in public schema, which has replica identity index by default
as primary key index. Later the citus catalog tables are moved to pg_catalog schema.
During pg_upgrade, all tables are recreated, and given that pg_dist_colocation is found in
pg_catalog schema, it is recreated in that schema, and when it is recreated it doesn't
have a replica identity index, because catalog tables have no replica identity.
Further action:
Do we even need to acquire this lock on the primary key index?
Postgres doesn't acquire such locks on indexes before deleting catalog tuples.
Also, catalog tuples don't have replica identities by definition.
We have lots of flaky tests in CI and most of these random failures are
very hard/impossible to reproduce locally. This adds a job definition to
CI that allows adding a temporary job to rerun the same test in CI a lot
of times. This will very often reproduce the random failures. If you
then try to change the test or code to fix the random failure, you can
confirm that it's indeed fixed by using this job.
A future improvement to this job would be to run it (or a variant of it)
automatically for every newly added test, and maybe even changed tests.
This is not implemented in this PR.
An example of this job running can be found here:
https://app.circleci.com/pipelines/github/citusdata/citus/26682/workflows/a2638385-35bc-443c-badc-7713a8101313