**Problem**: Currently, we error out if we detect recurring tuples in
one side without checking the other side of the join.
**Solution**: When one side of the full join consists recurring tuples
and the other side consists nonrecurring tuples, we should not pushdown
to prevent duplicate results. Otherwise, safe to pushdown.
Fixes a bug that causes crash when using auto_explain extension with
ALTER TABLE...ADD FOREIGN KEY... queries.
Those queries trigger a SELECT query on the citus tables as part of the
foreign key constraint validation check. At the explain hook, workers
try to explain this SELECT query as a distributed query causing memory
corruption in the connection data structures. Hence, we will not explain
ALTER TABLE...ADD FOREIGN KEY... and the triggered queries on the
workers.
Fixes#6424.
This crash happens with recursively planned queries. For such queries,
subplans are explained via the ExplainOnePlan function of postgresql.
This function reconstructs the query description from the plan therefore
it expects the ActiveSnaphot for the query be available. This fix makes
sure that the snapshot is in the stack before calling ExplainOnePlan.
Fixes#2920.
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.
*/
* 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>
Before, this was the default mode for CustomScan providers.
Now, the default is to assume that they can't project.
This causes performance penalties due to adding unnecessary
Result nodes.
Hence we use the newly added flag, CUSTOMPATH_SUPPORT_PROJECTION
to get it back to how it was.
In PG15 support branch we created explain functions to ignore
the new Result nodes, so we undo that in this commit.
Relevant PG commit:
955b3e0f9269639fb916cee3dea37aee50b82df0
Postgres supports JSON_TABLE feature on PG 15.
We treat JSON_TABLE the same as correlated functions (e.g., recurring tuples).
In the end, for multi-shard JSON_TABLE commands, we apply the same
restrictions as reference tables (e.g., cannot be in the outer part of
an outer join etc.)
Co-authored-by: Onder Kalaci <onderkalaci@gmail.com>
use RecurseObjectDependencies api to find if an object is citus depended
make vanilla tests runnable to see if citus_depended function is working correctly
* Remove if conditions with PG_VERSION_NUM < 13
* Remove server_above_twelve(&eleven) checks from tests
* Fix tests
* Remove pg12 and pg11 alternative test output files
* Remove pg12 specific normalization rules
* Some more if conditions in the code
* Change RemoteCollationIdExpression and some pg12/pg13 comments
* Remove some more normalization rules
This PR makes all of the features open source that were previously only
available in Citus Enterprise.
Features that this adds:
1. Non blocking shard moves/shard rebalancer
(`citus.logical_replication_timeout`)
2. Propagation of CREATE/DROP/ALTER ROLE statements
3. Propagation of GRANT statements
4. Propagation of CLUSTER statements
5. Propagation of ALTER DATABASE ... OWNER TO ...
6. Optimization for COPY when loading JSON to avoid double parsing of
the JSON object (`citus.skip_jsonb_validation_in_copy`)
7. Support for row level security
8. Support for `pg_dist_authinfo`, which allows storing different
authentication options for different users, e.g. you can store
passwords or certificates here.
9. Support for `pg_dist_poolinfo`, which allows using connection poolers
in between coordinator and workers
10. Tracking distributed query execution times using
citus_stat_statements (`citus.stat_statements_max`,
`citus.stat_statements_purge_interval`,
`citus.stat_statements_track`). This is disabled by default.
11. Blocking tenant_isolation
12. Support for `sslkey` and `sslcert` in `citus.node_conninfo`
The error comes due to the datum jsonb in pg_dist_metadata_node.metadata being 0 in some scenarios. This is likely due to not copying the data when receiving a datum from a tuple and pg deciding to deallocate that memory when the table that the tuple was from is closed.
Also fix another place in the code that might have been susceptible to this issue.
I tested on both multi-vg and multi-1-vg and the test were successful.
We've had custom versions of Postgres its `foreach` macro which with a
hidden ListCell for quite some time now. People like these custom
macros, because they are easier to use and require less boilerplate.
This adds similar custom versions of Postgres its `forboth` macro. Now
you don't need ListCells anymore when looping over two lists at the same
time.
With the introduction of #4385 we inadvertently started allowing and
pushing down certain lateral subqueries that were unsafe to push down.
To be precise the type of LATERAL subqueries that is unsafe to push down
has all of the following properties:
1. The lateral subquery contains some non recurring tuples
2. The lateral subquery references a recurring tuple from
outside of the subquery (recurringRelids)
3. The lateral subquery requires a merge step (e.g. a LIMIT)
4. The reference to the recurring tuple should be something else than an
equality check on the distribution column, e.g. equality on a non
distribution column.
Property number four is considered both hard to detect and probably not
used very often. Thus this PR ignores property number four and causes
query planning to error out if the first three properties hold.
Fixes#5327
If a worker node is being added, a command is sent to get the server_id of the worker from the pg_dist_node_metadata table. If the worker's id is the same as the node executing the code, we will know the node is trying to add itself. If the node tries to add itself without specifying `groupid:=0` the operation will result in an error.
If the expression is simple, such as, SELECT function() or PEFORM function()
in PL/PgSQL code, PL engine does a simple expression evaluation which can't
interpret the Citus CustomScan Node. Code checks for simple expressions when
executing an UDF but missed the DO-Block scenario, this commit fixes it.
Previously, we were wrapping targetlist nodes with Vars that reference
to the result of the worker query, if the node itself is not `Const` or
not a `Param`. Indeed, we should not do that unless the node itself is
a `Var` node or contains a `Var` within it (e.g.: `OpExpr(Var(column_a) > 2)`).
Otherwise, when worker query returns empty result set, then combine
query exec would crash since the `Var` would be pointing to an empty
tuple slot, which is not desirable for the node-executor methods.
With this commit, rebalancer backends are identified by application_name = citus_rebalancer
and the regular internal backends are identified by application_name = citus_internal
BEGIN/COMMIT transaction block or in a UDF calling another UDF.
(2) Prohibit/Limit the delegated function not to do a 2PC (or any work on a
remote connection).
(3) Have a safety net to ensure the (2) i.e. we should block the connections
from the delegated procedure or make sure that no 2PC happens on the node.
(4) Such delegated functions are restricted to use only the distributed argument
value.
Note: To limit the scope of the project we are considering only Functions(not
procedures) for the initial work.
DESCRIPTION: Introduce a new flag "force_delegation" in create_distributed_function(),
which will allow a function to be delegated in an explicit transaction block.
Fixes#3265
Once the function is delegated to the worker, on that node during the planning
distributed_planner()
TryToDelegateFunctionCall()
CheckDelegatedFunctionExecution()
EnableInForceDelegatedFuncExecution()
Save the distribution argument (Constant)
ExecutorStart()
CitusBeginScan()
IsShardKeyValueAllowed()
Ensure to not use non-distribution argument.
ExecutorRun()
AdaptiveExecutor()
StartDistributedExecution()
EnsureNoRemoteExecutionFromWorkers()
Ensure all the shards are local to the node in the remoteTaskList.
NonPushableInsertSelectExecScan()
InitializeCopyShardState()
EnsureNoRemoteExecutionFromWorkers()
Ensure all the shards are local to the node in the placementList.
This also fixes a minor issue: Properly handle expressions+parameters in distribution arguments
aykut-bozkurt
Philip Dubé
Emel Şimşek
Marco Slot
Onur Tirtir
Onder Kalaci
naisila
Naisila Puka
Marco Slot
Jelte Fennema
Gledis Zeneli
Burak Velioglu
Jeff Davis
Ahmet Gedemenli
Teja Mupparti
Talha Nisanci