- 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.
When queryId is not 0 and verbose is true, the query identifier is
emitted to the explain output. This is breaking Postgres outputs.
We disable de query identifier calculation in the tests.
Commit on PG that introduced the query identifier in the explain output:
4f0b0966c866ae9f0e15d7cc73ccf7ce4e1af84b
Relevant PG commit:
9e38c2bb5093ceb0c04d6315ccd8975bd17add66
fix array_cat_agg for pg upgrades
array_cat_agg now needs to take anycompatiblearray instead of anyarray
because array_cat changed its type from anyarray to anycompatiblearray
with pg14.
To handle upgrades correctly, we drop the aggregate in
citus_pg_prepare_upgrade. To be able to drop it, we first remove the
dependency from pg_depend.
Then we create the right aggregate in citus_finish_pg_upgrade and we
also add the dependency back to pg_depend.
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>
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.
* 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
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.
This is to avoid flaky changes like the following in test outputs:
-CPU: user: 0.00 s, system: 0.00 s, elapsed: 0.00 s.
+CPU: user: 0.00 s, system: 0.00 s, elapsed: 0.02 s.
CitusTableTypeIdList() function iterates on all the entries of pg_dist_partition
and loads all the metadata in to the cache. This can be quite memory intensive
especially when there are lots of distributed tables.
When partitioned tables are used, it is common to have many distributed tables
given that each partition also becomes a distributed table.
CitusTableTypeIdList() is used on every CREATE TABLE .. PARTITION OF.. command
as well. It means that, anytime a partition is created, Citus loads all the
metadata to the cache. Note that Citus typically only loads the accessed table's
metadata to the cache.
Aliases that postgres choose for partitioned tables in explain output
might change in different pg versions, so normalize them and remove
the alternative test output
This commit brings following features:
Foreign key support from citus local tables to reference tables
* Foreign key support from reference tables to citus local tables
(only with RESTRICT & NO ACTION behavior)
* ALTER TABLE ENABLE/DISABLE trigger command support
* CREATE/DROP/ALTER trigger command support
and disallows:
* ALTER TABLE ATTACH/DETACH PARTITION commands
* CREATE TABLE <postgres table> ATTACH PARTITION <citus local table>
commands
* Foreign keys from postgres tables to citus local tables
(the other way was already disallowed)
for citus local tables.
* Update and separate test images
The build image was a single one and it would contain pg11, pg12 and
pg13. Now it is separated so that we can build each pg major
independently.
Tags are used as full postgres versions so that we can know which
version we use by looking at the tag. For example exttester:11.9 would
mean we are using pg11.9.
pg11 is updated from 11.5 to 11.9.
pg12 is updated from 12rc to 12.4.
* Ignore memory usage in pg13 explain
* Use citus instead of personal repo
The not-null constraint message changed with pg13 slightly hence a
normalization rule is added for that, which converts it to pg < 13
output.
Commit on postgres:
05f18c6b6b6e4b44302ee20a042cedc664532aa2
An extra debug message is added related to indexes on postgres, these
are safe to be ignored, so we can delete them from tests.
Commit on Postgres side:
612a1ab76724aa1514b6509269342649f8cab375
varnoold is renamed as varnosyn and varoattno is renamed as varattnosyn
so in the output we normalize the values as the old ones to simply pass
the tests.
This can save a lot of data to be sent in some cases, thus improving
performance for which inter query bandwidth is the bottleneck.
There's some issues with enabling this as default, so that's currently not done.
We still recursively plan some cases, eg:
- INSERTs
- SELECT FOR UPDATE when reference tables in query
- Everything must be same single shard & replication model
In case we don't care about the tupleStoreState in
ExecuteLocalTaskListExtended, it could be passed as null. In that case
we will get a seg error. This changes it so that a dummy tuple store
will be created when it is null.
Do not use local execution in ExecuteTaskListOutsideTransaction.
As we are going to run the tasks outside transaction, we shouldn't use local execution.
However, there is some problem when using local execution related to
repartition joins, when we solve that problem, we can execute the tasks
coming to this path with local execution.
Also logging the local command is simplified.
normalize job id in worker_hash_partition_table in test outputs.
look at sent commands to simplify complex logic in vacuum test
also normalize connection id as that can differ when we don't have to
choose a specific connection.
* reimplement ExecuteUtilityTaskListWithoutResults for local utility command execution
* introduce new functions for local execution of utility commands
* change ErrorIfTransactionAccessedPlacementsLocally logic for local utility command execution
* enable local execution for TRUNCATE command on distributed & reference tables
* update existing tests for local utility command execution
* enable local execution for DDL commands on distributed & reference tables
* enable local execution for DROP command on distributed & reference tables
* add normalization rules for cascaded commands
* add new tests for local utility command execution
Add failing tests, make changes to avoid crashes at least
Fix HAVING subquery pushdown ignoring reference table only subqueries,
also include HAVING in recursive planning
Given that we have a function IsDistributedTable which includes reference tables,
it seems best to have IsDistributedTableRTE & QueryContainsDistributedTableRTE
reflect that they do not include reference tables in their check
Similarly SublinkList's name should reflect that it only scans WHERE
contain_agg_clause asserts that we don't have SubLinks,
use contain_aggs_of_level as suggested by pg sourcecode
DESCRIPTION: Replace the query planner for the coordinator part with the postgres planner
Closes#2761
Citus had a simple rule based planner for the query executed on the query coordinator. This planner grew over time with the addigion of SQL support till it was getting close to the functionality of the postgres planner. Except the code was brittle and its complexity rose which made it hard to add new SQL support.
Given its resemblance with the postgres planner it was a long outstanding wish to replace our hand crafted planner with the well supported postgres planner. This patch replaces our planner with a call to postgres' planner.
Due to the functionality of the postgres planner we needed to support both projections and filters/quals on the citus custom scan node. When a sort operation is planned above the custom scan it might require fields to be reordered in the custom scan before returning the tuple (projection). The postgres planner assumes every custom scan node implements projections. Because we controlled the plan that was created we prevented reordering in the custom scan and never had implemented it before.
A same optimisation applies to having clauses that could have been where clauses. Instead of applying the filter as a having on the aggregate it will push it down into the plan which could reach a custom scan node.
For both filters and projections we have implemented them when tuples are read from the tuple store. If no projections or filters are required it will directly return the tuple from the tuple store. Otherwise it will loop tuples from the tuple store through the filter and projection until a tuple is found and returned.
Besides filters being pushed down a side effect of having quals that could have been a where clause is that a call to read intermediate result could be called before the first tuple is fetched from the custom scan. This failed because the intermediate result would only be pulled to the coordinator on the first tuple fetch. To overcome this problem we do run the distributed subplans now before we run the postgres executor. This ensures the intermediate result is present on the coordinator in time. We do account for total time instrumentation by removing the instrumentation before handing control to the psotgres executor and update the timings our self.
For future SQL support it is enough to create a valid query structure for the part of the query to be executed on the query coordinating node. As a utility we do serialise and print the query at debug level4 for engineers to inspect what kind of query is being planned on the query coordinator.
Onur Tirtir
Burak Velioglu
Sait Talha Nisanci
Halil Ozan Akgul
Hanefi Onaldi
Nils Dijk
Hadi Moshayedi
Hadi Moshayedi
Onder Kalaci
Marco Slot
Jelte Fennema
Philip Dubé