Commit Graph

454 Commits (bc1a800f7095c8fe29f0c95e21c97dc008eca225)

Author SHA1 Message Date
Hadi Moshayedi 264530311a Don't use distributed insert/select for repartitioned joins 2020-02-03 13:13:30 -08:00
Philip Dubé d43c80d4d8 pullUpIntermediateRows should not be true when groupedByDisjointPartitionColumn is true
This was causing 'SELECT id, stdev(y_int) FROM tbl GROUP BY id' to push down stddev without group by
2020-01-30 21:18:08 +00:00
Philip Dubé 5fccc56d3e Expand the set of aggregates which cannot have LIMIT approximated
Previously we only prevented AVG from being pushed down, but this is incorrect:
- array_agg, while somewhat non sensical to order by, will potentially be missing values
- combinefunc aggregation will raise errors about cstrings not being comparable (while we also can't know if the aggregate is commutative)

This commit limits approximating LIMIT pushdown when ordering by aggregates to:
min, max, sum, count, bit_and, bit_or, every, any
Which means of those we previously supported, we now exclude:
avg, array_agg, jsonb_agg, jsonb_object_agg, json_agg, json_object_agg, hll_add, hll_union, topn_add, topn_union
2020-01-30 17:45:18 +00:00
Önder Kalacı 4519d3411d
Improve the representation of used sub plans (#3411)
Previously, we've identified the usedSubPlans by only looking
to the subPlanId.

With this commit, we're expanding it to also include information
on the location of the subPlan.

This is useful to distinguish the cases where the subPlan is used
either on only HAVING or both HAVING and any other part of the query.
2020-01-24 10:47:14 +01:00
Philip Dubé 50c5e814c8 CurrentDatabaseName: return const char* as we're borrowing from cache 2020-01-23 22:49:35 +00:00
Önder Kalacı ef7d1ea91d
Locally execute queries that don't need any data access (#3410)
* Update shardPlacement->nodeId to uint

As the source of the shardPlacement->nodeId is always workerNode->nodeId,
and that is uint32.

We had this hack because of: 0ea4e52df5 (r266421409)

And, that is gone with: 90056f7d3c (diff-c532177d74c72d3f0e7cd10e448ab3c6L1123)

So, we're safe to do it now.

* Relax the restrictions on using the local execution

Previously, whenever any local execution happens, we disabled further
commands to do any remote queries. The basic motivation for doing that
is to prevent any accesses in the same transaction block to access the
same placements over multiple sessions: one is local session the other
is remote session to the same placement.

However, the current implementation does not distinguish local accesses
being to a placement or not. For example, we could have local accesses
that only touches intermediate results. In that case, we should not
implement the same restrictions as they become useless.

So, this is a pre-requisite for executing the intermediate result only
queries locally.

* Update the error messages

As the underlying implementation has changed, reflect it in the error
messages.

* Keep track of connections to local node

With this commit, we're adding infrastructure to track if any connection
to the same local host is done or not.

The main motivation for doing this is that we've previously were more
conservative about not choosing local execution. Simply, we disallowed
local execution if any connection to any remote node is done. However,
if we want to use local execution for intermediate result only queries,
this'd be annoying because we expect all queries to touch remote node
before the final query.

Note that this approach is still limiting in Citus MX case, but for now
we can ignore that.

* Formalize the concept of Local Node

Also some minor refactoring while creating the dummy placement

* Write intermediate results locally when the results are only needed locally

Before this commit, Citus used to always broadcast all the intermediate
results to remote nodes. However, it is possible to skip pushing
the results to remote nodes always.

There are two notable cases for doing that:

   (a) When the query consists of only intermediate results
   (b) When the query is a zero shard query

In both of the above cases, we don't need to access any data on the shards. So,
it is a valuable optimization to skip pushing the results to remote nodes.

The pattern mentioned in (a) is actually a common patterns that Citus users
use in practice. For example, if you have the following query:

WITH cte_1 AS (...), cte_2 AS (....), ... cte_n (...)
SELECT ... FROM cte_1 JOIN cte_2 .... JOIN cte_n ...;

The final query could be operating only on intermediate results. With this patch,
the intermediate results of the ctes are not unnecessarily pushed to remote
nodes.

* Add specific regression tests

As there are edge cases in Citus MX and with round-robin policy,
use the same queries on those cases as well.

* Fix failure tests

By forcing not to use local execution for intermediate results since
all the tests expects the results to be pushed remotely.

* Fix flaky test

* Apply code-review feedback

Mostly style changes

* Limit the max value of pg_dist_node_seq to reserve for internal use
2020-01-23 18:28:34 +01:00
Onder Kalaci 0bf1e81e33 Cache local plans on BeginScan 2020-01-17 16:02:57 +01:00
Onder Kalaci 3833a7e686 Fix issues for CTE inlining on Postgres 11
Comment from code:

/*
 * We had to implement this hack because on Postgres11 and below, the originalQuery
 * and the query would have significant differences in terms of CTEs where CTEs
 * would not be inlined on the query (as standard_planner() wouldn't inline CTEs
 * on PG 11 and below).
 *
 * Instead, we prefer to pass the inlined query to the distributed planning. We rely
 * on the fact that the query includes subqueries, and it'd definitely go through
 * query pushdown planning. During query pushdown planning, the only relevant query
 * tree is the original query.
 */
2020-01-17 11:59:02 +01:00
Jelte Fennema 246435be7e
Lazy query deparsing executable queries (#3350)
Deparsing and parsing a query can be heavy on CPU. When locally executing 
the query we don't need to do this in theory most of the time.

This PR is the first step in allowing to skip deparsing and parsing
the query in these cases, by lazily creating the query string and
storing the query in the task. Future commits will make use of this and
not deparse and parse the query anymore, but use the one from the task
directly.
2020-01-17 11:49:43 +01:00
Hadi Moshayedi 8635396cea Repartitioned INSERT/SELECT: Test rollback behaviour 2020-01-16 23:24:52 -08:00
Hadi Moshayedi 97072c9eb1 INSERT/SELECT: show method in EXPLAIN output 2020-01-16 23:24:52 -08:00
Hadi Moshayedi b4e5f4b10a Implement INSERT ... SELECT with repartitioning 2020-01-16 23:24:52 -08:00
Jelte Fennema 0ee1eab070 Make tests fail with a useful error message 2020-01-16 18:30:30 +01:00
Onder Kalaci dc17c2658e Defer shard pruning for fast-path router queries to execution
This is purely to enable better performance with prepared statements.
Before this commit, the fast path queries with prepared statements
where the distribution key includes a parameter always went through
distributed planning. After this change, we only go through distributed
planning on the first 5 executions.
2020-01-16 16:59:36 +01:00
Onder Kalaci 64560b07be Update regression tests-2
In this commit, we're introducing a way to prevent CTE inlining via a GUC.

The GUC is used in all the tests where PG 11 and PG 12 tests would diverge
otherwise.

Note that, in PG 12, the restriction information for CTEs are generated. It
means that for some queries involving CTEs, Citus planner (router planner/
pushdown planner) may behave differently. So, via the GUC, we prevent
tests to diverge on PG 11 vs PG 12.

When we drop PG 11 support, we should get rid of the GUC, and mark
relevant ctes as MATERIALIZED, which does the same thing.
2020-01-16 12:28:15 +01:00
Onder Kalaci 5cb203b276 Update regression tests-1
These set of tests has changed in both PG 11 and PG 12.
The changes are only about CTE inlining kicking in both
versions, and yielding the exact same distributed planning.
2020-01-16 12:28:15 +01:00
Onder Kalaci efb1577d06 Handle CTE aliases accurately
Basically, make sure to update the column name with the CTEs alias
if we need to do so.
2020-01-16 12:28:15 +01:00
Onder Kalaci 05d600dd8f Call CTE inlining in Citus planner
The idea is simple: Inline CTEs(if any), try distributed planning.
If the planning yields a successful distributed plan, simply return
it.

If the planning fails, fallback to distributed planning on the query
tree where CTEs are not inlined. In that case, if the planning failed
just because of the CTE inlining, via recursive planning, the same
query would yield a successful plan.

A very basic set of examples:

WITH cte_1 AS (SELECT * FROM test_table)
SELECT
	*, row_number() OVER ()
FROM
	cte_1;

or

WITH a AS (SELECT * FROM test_table),
b AS (SELECT * FROM test_table)
SELECT * FROM  a JOIN b ON (a.value> b.value);
2020-01-16 12:28:15 +01:00
Onder Kalaci 01a5800ee8 Add Citus' CTE inlining functions
With this commit we add the necessary Citus function to inline CTEs
in a queryTree.

You might ask, why do we need to inline CTEs if Postgres is already
going to do it?

Few reasons behind this decision:

- One techinal node here is that Citus does the recursive CTE planning
  by checking the originalQuery which is the query that has not gone
  through the standard_planner().

  CTEs in Citus is super powerful. It is practically key for full SQL
  coverage for multi-shard queries. With CTEs, you can always reduce
  any query multi-shard query into a router query via recursive
  planning (thus full SQL coverage).
  We cannot let CTE inlining break that. The main idea is Citus should
  be able to retry planning if anything goes after CTE inlining.

  So, by taking ownership of CTE inlining on the originalQuery, Citus
  can fallback to recursive planning of CTEs if the planning with the
  inlined query fails. It could have been a lot harder if we had relied
  on standard_planner() to have the inlined CTEs on the original query.

- We want to have this feature in PostgreSQL 11 as well, but Postgres
  only inlines in version 12
2020-01-16 12:28:15 +01:00
Onder Kalaci 1856ab6cdd Copy & paste code from Postgres source
All the code in this commit is direct copy & paste from Postgres
source code.

We can classify the copy&paste code into two:

- Copy paste from CTE inline patch from postgres
  (https://git.postgresql.org/gitweb/?p=postgresql.git;a=commitdiff;h=608b167f9f9c4553c35bb1ec0eab9ddae643989b)
  These include the functions inline_cte(), inline_cte_walker(),
  contain_dml(), contain_dml_walker().
  It also include the code in function PostgreSQLCTEInlineCondition().
  We prefer to extract that code into a seperate function, because
  (a) we'll re-use the logic later (b) we added one check for PG_11

  Finally, the struct "inline_cte_walker_context" is also copied from
  the same Postgres commit.

- Copy paste from the other parts of the Postgres code

  In order to implement CTE inlining in Postgres 12, the hackers
  modified the query_tree_walker()/range_table_walker() with the
  18c0da88a5

  Since Citus needs to support the same logic in PG 11, we copy & pasted
  that functions (and related flags) with the names pg_12_query_tree_walker()
  and pg_12_range_table_walker()
2020-01-16 12:28:15 +01:00
Philip Dubé 4d9a733c2f Fix inserting multiple values with row expression partition column causing the insert to be ignored
Raise an error instead of silently inserting nothing if we hit this condition in the future
2020-01-15 21:10:50 +00:00
Philip Dubé 4b5d6c3ebe Rename RelayFileState to ShardState
Replace FILE_ prefix with SHARD_STATE_
2020-01-12 05:57:53 +00:00
Philip Dubé e71386af33 Replace ARRAY_OUT_FUNC_ID with postgres's F_ARRAY_OUT
Also use stack allocation for walkerContext in multi_logical_optimizer
2020-01-10 16:54:00 +00:00
Philip Dubé 281aacce9b Fix row-gather for subqueries being handled by task-tracker
task-tracker has specific logic for MultiPartition when GROUP BY is missing

We were ending up in this code path because row-gather removes GROUP BY
2020-01-10 01:51:37 +00:00
Hadi Moshayedi f38d0e5b3f Partitioned task list results. 2020-01-09 10:32:58 -08:00
Philip Dubé bf7d86a3e8 Fix typo: aggragate -> aggregate 2020-01-07 01:16:09 +00:00
Philip Dubé 863bf49507 Implement pulling up rows to coordinator when aggregates cannot be pushed down. Enabled by default 2020-01-07 01:16:04 +00:00
Jelte Fennema 5b0baea72c Refactor distributed_planner for better understandability 2020-01-06 14:23:38 +01:00
Onder Kalaci 5a1e752726 Apply feedback - add fastPath field to plan 2020-01-06 12:42:43 +01:00
Onder Kalaci 13a9b55695 Skip expensive checks when fast-path query
The definition of fast-path query is very strict. So, we don't need
to do some extra checks.
2020-01-06 12:42:43 +01:00
Onder Kalaci 7f3ab7892d Skip shard pruning when possible
We're already traversing the queryTree and finding the distribution
key value, so pass it to the later stages of the planning.
2020-01-06 12:42:43 +01:00
Onder Kalaci ca293116fa Reduce calls to FastPathRouterQuery()
Before this commit, we called it twice durning planning. Instead,
we save the information and pass it.
2020-01-06 12:42:43 +01:00
Önder Kalacı 0c70a5470e
Allow RETURNING in fast-path queries (#3352)
* Allow RETURNING in fast-path queries

Because there is no specific reason for that.
2020-01-03 13:42:50 +00:00
Önder Kalacı a174eb4f7b
Do not go through standard_planner() for INSERTs (#3348)
That seems unnecessary. We already have the notion of FastPath queries,
simply add it there.
2020-01-03 12:15:22 +00:00
Marco Slot ba39d72fe1 Fix incorrect union all pushdown issue 2020-01-01 09:03:50 +01:00
Jelte Fennema 3a042e4611 Allow cartesian products on reference tables 2019-12-27 15:05:51 +01:00
Jelte Fennema 61e2501645 Make any expression with two or more tables a join expression 2019-12-27 15:05:51 +01:00
Jelte Fennema 4233cd0d9d Allow non equi joins on reference tables 2019-12-27 15:05:51 +01:00
Marco Slot b21b6905ae Do not repeat GROUP BY distribution_column on coordinator
Allow arbitrary aggregates to be pushed down in these scenarios
2019-12-25 01:33:41 +00:00
Marco Slot b37ef0e394 Fix error in distributed queries when shards are on the coordinator 2019-12-24 06:36:43 +01:00
Hadi Moshayedi 249508d267 Estimate cost of read_intermediate_results() 2019-12-17 13:51:51 -08:00
SaitTalhaNisanci 7ff4ce2169
Add adaptive executor support for repartition joins (#3169)
* WIP

* wip

* add basic logic to run a single job with repartioning joins with adaptive executor

* fix some warnings and return in ExecuteDependedTasks if there is none

* Add the logic to run depended jobs in adaptive executor

The execution of depended tasks logic is changed. With the current
logic:
- All tasks are created from the top level task list.
- At one iteration:
	- CurTasks whose dependencies are executed are found.
	- CurTasks are executed in parallel with adapter executor main
logic.
- The iteration is repeated until all tasks are completed.

* Separate adaptive executor repartioning logic

* Remove duplicate parts

* cleanup directories and schemas

* add basic repartion tests for adaptive executor

* Use the first placement to fetch data

In task tracker, when there are replicas, we try to fetch from a replica
for which a map task is succeeded. TaskExecution is used for this,
however TaskExecution is not used in adaptive executor. So we cannot use
the same thing as task tracker.

Since adaptive executor fails when a map task fails (There is no retry
logic yet). We know that if we try to execute a fetch task, all of its
map tasks already succeeded, so we can just use the first one to fetch
from.

* fix clean directories logic

* do not change the search path while creating a udf

* Enable repartition joins with adaptive executor with only enable_reparitition_joins guc

* Add comments to adaptive_executor_repartition

* dont run adaptive executor repartition test in paralle with other tests

* execute cleanup only in the top level execution

* do cleanup only in the top level ezecution

* not begin a transaction if repartition query is used

* use new connections for repartititon specific queries

New connections are opened to send repartition specific queries. The
opened connections will be closed at the FinishDistributedExecution.

While sending repartition queries no transaction is begun so that
we can see all changes.

* error if a modification was done prior to repartition execution

* not start a transaction if a repartition query and sql task, and clean temporary files and schemas at each subplan level

* fix cleanup logic

* update tests

* add missing function comments

* add test for transaction with DDL before repartition query

* do not close repartition connections in adaptive executor

* rollback instead of commit in repartition join test

* use close connection instead of shutdown connection

* remove unnecesary connection list, ensure schema owner before removing directory

* rename ExecuteTaskListRepartition

* put fetch query string in planner not executor as we currently support only replication factor = 1 with adaptive executor and repartition query and we know the query string in the planner phase in that case

* split adaptive executor repartition to DAG execution logic and repartition logic

* apply review items

* apply review items

* use an enum for remote transaction state and fix cleanup for repartition

* add outside transaction flag to find connections that are unclaimed instead of always opening a new transaction

* fix style

* wip

* rename removejobdir to partition cleanup

* do not close connections at the end of repartition queries

* do repartition cleanup in pg catch

* apply review items

* decide whether to use transaction or not at execution creation

* rename isOutsideTransaction and add missing comment

* not error in pg catch while doing cleanup

* use replication factor of the creation time, not current time to decide if task tracker should be chosen

* apply review items

* apply review items

* apply review item
2019-12-17 19:09:45 +03:00
Marco Slot 5f656e22db Fix issue in IsMultiStatementTransaction detection 2019-12-16 17:01:43 +01:00
SaitTalhaNisanci 2829c601dd
replace Begin words in coordinated transactions with use (#3293) 2019-12-16 10:40:31 +03:00
SaitTalhaNisanci a2f2107e6a
refactor MapTaskList in multi physical planner (#3297) 2019-12-13 22:41:49 +03:00
Marco Slot 1633123d78 Fix crash in IN (NULL) queries 2019-12-13 08:35:54 +01:00
Hadi Moshayedi e7a6cc0801 Fix some typos from #3280 2019-12-12 13:29:26 -08:00
SaitTalhaNisanci 420e21919b
refactor extract distributed insert values rte (#3287) 2019-12-12 23:47:44 +03:00
Marco Slot e7a8db5493 Fix issue with some zero-shard modifications 2019-12-12 07:19:10 +01:00
Hadi Moshayedi 939d3c955b Don't plan function joins locally 2019-12-11 16:53:29 -08:00