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.
InvalidateForeignKeyGraph sends an invalidation via shared memory to all
backends, including the current one.
However, we might not call AcceptInvalidationMessages before reading
from the cache below. It would be better to also add a call to
AcceptInvalidationMessages in IsForeignConstraintRelationshipGraphValid.
Previously this was usually done after argument parsing. This can cause
SEGFAULTs if the number or type of arguments changes in a new version.
By checking that Citus version is correct before doing any argument
parsing we protect against these types of issues. Issues like this have
occurred in pg_auto_failover, so it's not just a theoretical issue.
The main reason why these calls were not at the top of functions is
really just historical. It was because in the past we didn't allow
statements before declarations. Thus having this check before the
argument parsing would have only been possible if we first declared all
variables.
In addition to moving existing CheckCitusVersion calls it also adds
these calls to rebalancer related functions (they were missing there).
The current default citus settings for tests are not really best
practice anymore. However, we keep them because lots of tests depend on
them.
I noticed that I created the same test harness for new tests I added all
the time. This is a simple script that generates that harness, given a
name for the test.
To run:
src/test/regress/bin/create_test.py my_awesome_test
To be able to report progress of the rebalancer, the rebalancer updates
the state of a shard move in a shared memory segment. To then fetch the
progress, `get_rebalance_progress` can be called which reads this shared
memory.
Without this change it did so without using any synchronization
primitives, allowing for data races. This fixes that by using atomic
operations to update and read from the parts of the shared memory that
can be changed after initialization.
Deprecates the `citus.replication_model` GUC
We used to have 2 different GUCs that decided shard replication models:
- `citus.replication_model`: either set to "statement" or "streaming"
- `citus.shard_replication_factor` that prevents us to use streaming
replication when greater than 1.
This PR aims to deprecate the `citus.replication_model` GUC and decide
on the replication model, solely based on the shard replication factor
of distributed tables that are affected by queries.
Halil Ozan Akgul
Ahmet Gedemenli
SaitTalhaNisanci
Marco Slot
Naisila Puka
Marco Slot
Jelte Fennema
Onur Tirtir
Hanefi Onaldi
Nils Dijk