DESCRIPTION: Enabling citus_stat_tenants to support schema-based
tenants.
This pull request modifies the existing logic to enable tenant
monitoring with schema-based tenants. The changes made are as follows:
- If a query has a partitionKeyValue (which serves as a tenant
key/identifier for distributed tables), Citus annotates the query with
both the partitionKeyValue and colocationId. This allows for accurate
tracking of the query.
- If a query does not have a partitionKeyValue, but its colocationId
belongs to a distributed schema, Citus annotates the query with only the
colocationId. The tenant monitor can then easily look up the schema to
determine if it's a distributed schema and make a decision on whether to
track the query.
---------
Co-authored-by: Jelte Fennema <jelte.fennema@microsoft.com>
* Currently we do not allow any Citus tables other than Citus local
tables inside a regular schema before executing
`citus_schema_distribute`.
* `citus_schema_undistribute` expects only single shard distributed
tables inside a tenant schema.
DESCRIPTION: Adds the udf `citus_schema_distribute` to convert a regular
schema into a tenant schema.
DESCRIPTION: Adds the udf `citus_schema_undistribute` to convert a
tenant schema back to a regular schema.
---------
Co-authored-by: Onur Tirtir <onurcantirtir@gmail.com>
DESCRIPTION: Adds citus.enable_schema_based_sharding GUC that allows
sharding the database based on schemas when enabled.
* Refactor the logic that automatically creates Citus managed tables
* Refactor CreateSingleShardTable() to allow specifying colocation id
instead
* Add support for schema-based-sharding via a GUC
### What this PR is about:
Add **citus.enable_schema_based_sharding GUC** to enable schema-based
sharding. Each schema created while this GUC is ON will be considered
as a tenant schema. Later on, regardless of whether the GUC is ON or
OFF, any table created in a tenant schema will be converted to a
single shard distributed table (without a shard key). All the tenant
tables that belong to a particular schema will be co-located with each
other and will have a shard count of 1.
We introduce a new metadata table --pg_dist_tenant_schema-- to do the
bookkeeping for tenant schemas:
```sql
psql> \d pg_dist_tenant_schema
Table "pg_catalog.pg_dist_tenant_schema"
┌───────────────┬─────────┬───────────┬──────────┬─────────┐
│ Column │ Type │ Collation │ Nullable │ Default │
├───────────────┼─────────┼───────────┼──────────┼─────────┤
│ schemaid │ oid │ │ not null │ │
│ colocationid │ integer │ │ not null │ │
└───────────────┴─────────┴───────────┴──────────┴─────────┘
Indexes:
"pg_dist_tenant_schema_pkey" PRIMARY KEY, btree (schemaid)
"pg_dist_tenant_schema_unique_colocationid_index" UNIQUE, btree (colocationid)
psql> table pg_dist_tenant_schema;
┌───────────┬───────────────┐
│ schemaid │ colocationid │
├───────────┼───────────────┤
│ 41963 │ 91 │
│ 41962 │ 90 │
└───────────┴───────────────┘
(2 rows)
```
Colocation id column of pg_dist_tenant_schema can never be NULL even
for the tenant schemas that don't have a tenant table yet. This is
because, we assign colocation ids to tenant schemas as soon as they
are created. That way, we can keep associating tenant schemas with
particular colocation groups even if all the tenant tables of a tenant
schema are dropped and recreated later on.
When a tenant schema is dropped, we delete the corresponding row from
pg_dist_tenant_schema. In that case, we delete the corresponding
colocation group from pg_dist_colocation as well.
### Future work for 12.0 release:
We're building schema-based sharding on top of the infrastructure that
adds support for creating distributed tables without a shard key
(https://github.com/citusdata/citus/pull/6867).
However, not all the operations that can be done on distributed tables
without a shard key necessarily make sense (in the same way) in the
context of schema-based sharding. For example, we need to think about
what happens if user attempts altering schema of a tenant table. We
will tackle such scenarios in a future PR.
We will also add a new UDF --citus.schema_tenant_set() or such-- to
allow users to use an existing schema as a tenant schema, and another
one --citus.schema_tenant_unset() or such-- to stop using a schema as
a tenant schema in future PRs.
With this PR, we allow creating distributed tables with without
specifying a shard key via create_distributed_table(). Here are the
the important details about those tables:
* Specifying `shard_count` is not allowed because it is assumed to be 1.
* We mostly call such tables as "null shard-key" table in code /
comments.
* To avoid doing a breaking layout change in create_distributed_table();
instead of throwing an error, it will inform the user that
`distribution_type`
param is ignored unless it's explicitly set to NULL or 'h'.
* `colocate_with` param allows colocating such null shard-key tables to
each other.
* We define this table type, i.e., NULL_SHARD_KEY_TABLE, as a subclass
of
DISTRIBUTED_TABLE because we mostly want to treat them as distributed
tables in terms of SQL / DDL / operation support.
* Metadata for such tables look like:
- distribution method => DISTRIBUTE_BY_NONE
- replication model => REPLICATION_MODEL_STREAMING
- colocation id => **!=** INVALID_COLOCATION_ID (distinguishes from
Citus local tables)
* We assign colocation groups for such tables to different nodes in a
round-robin fashion based on the modulo of "colocation id".
Note that this PR doesn't care about DDL (except CREATE TABLE) / SQL /
operation (i.e., Citus UDFs) support for such tables but adds a
preliminary
API.
DESCRIPTION: PR description that will go into the change log, up to 78
characters
---------
Co-authored-by: Hanefi Onaldi <Hanefi.Onaldi@microsoft.com>
DESCRIPTION: Adds views that monitor statistics on tenant usages
This PR adds `citus_stats_tenants` view that monitors the tenants on the
cluster.
`citus_stats_tenants` shows the node id, colocation id, tenant
attribute, read count in this period and last period, and query count in
this period and last period of the tenant.
Tenant attribute currently is the tenant's distribution column value,
later when schema based sharding is introduced, this meaning might
change.
A period is a time bucket the queries are counted by. Read and query
counts for this period can increase until the current period ends. After
that those counts are moved to last period's counts, which cannot
change. The period length can be set using 'citus.stats_tenants_period'.
`SELECT` queries are counted as _read_ queries, `INSERT`, `UPDATE` and
`DELETE` queries are counted as _write_ queries. So in the view read
counts are `SELECT` counts and query counts are `SELECT`, `INSERT`,
`UPDATE` and `DELETE` count.
The data is stored in shared memory, in a struct named
`MultiTenantMonitor`.
`citus_stats_tenants` shows the data from local tenants.
`citus_stats_tenants` show up to `citus.stats_tenant_limit` number of
tenants.
The tenants are scored based on the number of queries they run and the
recency of those queries. Every query ran increases the score of tenant
by `ONE_QUERY_SCORE`, and after every period ends the scores are halved.
Halving is done lazily.
To retain information a longer the monitor keeps up to 3 times
`citus.stats_tenant_limit` tenants. When the tenant count hits `3 *
citus.stats_tenant_limit`, last `citus.stats_tenant_limit` tenants are
removed. To see all stored tenants you can use
`citus_stats_tenants(return_all_tenants := true)`
- [x] Create collector view that gets data from all nodes. #6761
- [x] Add monitoring log #6762
- [x] Create enable/disable GUC #6769
- [x] Parse the annotation string correctly #6796
- [x] Add local queries and prepared statements #6797
- [x] Rename to citus_stat_statements #6821
- [x] Run pgbench
- [x] Fix role permissions #6812
---------
Co-authored-by: Gokhan Gulbiz <ggulbiz@gmail.com>
Co-authored-by: Jelte Fennema <github-tech@jeltef.nl>
This pull request proposes a change to the logic used for propagating
identity columns to worker nodes in citus. Instead of creating a
dependent sequence for each identity column and changing its default
value to `nextval(seq)/worker_nextval(seq)`, this update will pass the
identity columns as-is to the worker nodes.
Please note that there are a few limitations to this change.
1. Only bigint identity columns will be allowed in distributed tables to
ensure compatibility with the DDL from any node functionality. Our
current distributed sequence implementation only allows insert
statements from all nodes for bigint sequences.
2. `alter_distributed_table` and `undistribute_table` operations will
not be allowed for tables with identity columns. This is because we do
not have a proper way of keeping sequence states consistent across the
cluster.
DESCRIPTION: Prevents using identity columns on data types other than
`bigint` on distributed tables
DESCRIPTION: Prevents using `alter_distributed_table` and
`undistribute_table` UDFs when a table has identity columns
DESCRIPTION: Fixes a bug that prevents enforcing identity column
restrictions on worker nodes
Depends on #6740Fixes#6694
Description:
Implementing CDC changes using Logical Replication to avoid
re-publishing events multiple times by setting up replication origin
session, which will add "DoNotReplicateId" to every WAL entry.
- shard splits
- shard moves
- create distributed table
- undistribute table
- alter distributed tables (for some cases)
- reference table operations
The citus decoder which will be decoding WAL events for CDC clients,
ignores any WAL entry with replication origin that is not zero.
It also maps the shard names to distributed table names.
In the past, having columnar tables in the cluster was causing pg
upgrades to fail when attempting to access columnar metadata. This is
because, pg_dump doesn't see objects that we use for columnar-am related
booking as the dependencies of the tables using columnar-am.
To fix that; in #5456, we inserted some "normal dependency" edges (from
those objects to columnar-am) into pg_depend.
This helped us ensuring the existency of a class of metadata objects
--such as columnar.storageid_seq-- and helped fixing #5437.
However, the normal-dependency edges that we added for indexes on
columnar metadata tables --such columnar.stripe_pkey-- didn't help at
all because they were indeed causing dependency loops (#5510) and
pg_dump was not able to take those dependency edges into the account.
For this reason, this commit deletes those dependency edges so that
pg_dump stops complaining about them. Note that it's not critical to
delete those edges from pg_depend since they're not breaking pg upgrades
but were triggering some warning messages. And given that backporting
a sql change into older versions is hard a lot, we skip backporting
this.
citus_job_list() lists all background jobs by simply showing the records
in pg_dist_background_job.
citus_job_status(job_id bigint, raw boolean default false) shows the
status of a single background job by appending a jsonb details column to
the associated row from pg_dist_background_job. If the raw argument is
set, machine readable sizes are used instead of human readable
alternatives.
citus_rebalance_status(raw boolean default false) shows the status of
the last rebalance operation. If the raw argument is set, machine
readable sizes are used instead of human readable alternatives.
DESCRIPTION: Drop `SHARD_STATE_TO_DELETE` and use the cleanup records
instead
Drops the shard state that is used to mark shards as orphaned. Now we
insert cleanup records into `pg_dist_cleanup` so "orphaned" shards will
be dropped either by maintenance daemon or internal cleanup calls. With
this PR, we make the "cleanup orphaned shards" functions to be no-op, as
they would not be needed anymore.
This PR includes some naming changes about placement functions. We don't
need functions that filter orphaned shards, as there will be no orphaned
shards anymore.
We will also be introducing a small script with this PR, for users with
orphaned shards. We'll basically delete the orphaned shard entries from
`pg_dist_placement` and insert cleanup records into `pg_dist_cleanup`
for each one of them, during Citus upgrade.
We also have a lot of flakiness fixes in this PR.
Co-authored-by: Jelte Fennema <github-tech@jeltef.nl>
We already have citus_job_wait to wait until the job reaches the desired
state. That PR adds waiting on task state to allow more granular
waiting. It can be used for Citus operations. Moreover, it is also
useful for testing purposes. (wait until a task reaches specified state)
Related to #6459.
DESCRIPTION: Create replication artifacts with unique names
We're creating replication objects with generic names. This disallows us
to enable parallel shard moves, as two operations might use the same
objects. With this PR, we'll create below objects with operation
specific names, by appending OparationId to the names.
* Subscriptions
* Publications
* Replication Slots
* Users created for subscriptions
increasing logical clock. Clock guarantees to never go back in value after restarts,
and makes best attempt to keep the value close to unix epoch time in milliseconds.
Also, introduces a new GUC "citus.enable_cluster_clock", when true, every
distributed transaction is stamped with logical causal clock and persisted
in a catalog pg_dist_commit_transaction.
DESCRIPTION: Drops GUC defer_drop_after_shard_split
DESCRIPTION: Drops GUC defer_drop_after_shard_move
Drop GUCs and related parts from the code.
Delete tests that specifically added for the GUCs.
Keep tests that can be used without the GUCs.
Update test output changes.
The motivation for this PR is to have an "always deferring" mechanism.
These two GUCs provide an option to not deferring dropping objects
during a shard move/split, and dropping them immediately. With this PR,
we will be always deferring dropping orphaned shards and other types of
objects.
We will have a separate PR to extend the deferred cleanup operation, so
that we would create records for deferred drop, for Subscriptions,
Publications, Replication Slots etc. This will make us be able to keep
track of created objects that needs to be dropped, during a shard
move/split. We will have objects created specifically for the current
operation; and those objects will be dropped at the end.
We have an issue (a draft roadmap) for enabling parallel shard moves.
For details please see: https://github.com/citusdata/citus/issues/6437
DESCRIPTION: Adds status column to get_rebalance_progress()
Introduces a new column named `status` for the function
`get_rebalance_progress()`. For each ongoing shard move, this column
will reveal information about that shard move operation's current
status.
For now, candidate status messages could be one of the below.
* Not Started
* Setting Up
* Copying Data
* Catching Up
* Creating Constraints
* Final Catchup
* Creating Foreign Keys
* Completing
* Completed
DESCRIPTION: Adds source_lsn and target_lsn fields into
get_rebalance_progress
Adding two fields named `source_lsn` and `target_lsn` to the function
`get_rebalance_progress`.
Target lsn data is fetched in `GetShardStatistics`, by expanding the
query sent to workers (joining with pg_subscription_rel and
pg_stat_subscription). Then put into the hashmap, for each shard.
Source lsn data is fetched in `BuildWorkerShardStatististicsHash`, in
the loop that iterate each node, by sending a pg_current_wal_lsn query
to each node. Then put into the hashmap, for each node.
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.
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();`.
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.
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'
Added create_distributed_table_concurrently which is nonblocking variant of create_distributed_table.
It bases on the split API which takes advantage of logical replication to support nonblocking split operations.
Co-authored-by: Marco Slot <marco.slot@gmail.com>
Co-authored-by: aykutbozkurt <aykut.bozkurt1995@gmail.com>
* Adjust configure script to allow PG15
* Adds copy of ruleutils_14.c as ruleutils_15.c
* Uses get_namespace_name_or_temp in ruleutils_15.c
Relevant PG commit:
48c5c9068211e0a04fd9553c8714b2821ed3ad17
* Clean up code using "(expr) ? true : false" in ruleutils_15.c
Relevant PG commit:
fd0625c7a9c679c0c1e896014b8f49a489c3a245
* Change varno from Index (unsigned int) to int in ruleutils_15.c
Relevant PG commit:
e3ec3c00d85bd2844ffddee83df2bd67c4f8297f
* Adds find_recursive_union to ruleutils_15.c
Relevant PG commit:
3f50b82639637c9908afa2087de7588450aa866b
* Fix display of SQL-std func's args in INSERT/SELECT in ruleutils_15.c
Relevant PG commit:
a8d8445a7b2f80f6d0bfe97b19f90bd2cbef8759
* Fix ruleutils_15.c's dumping of whole-row Vars in more contexts
Relevant PG commit:
43c2175121c829c8591fc5117b725f1f22bfb670
* Fix assorted missing logic for GroupingFunc nodes in ruleutils_15.c
Relevant PG commit:
2591ee8ec44d8cbc8e1226550337a64c684746e4
* Adds grammar support for SQL/JSON clauses in ruleutils_15.c
Relevant PG commit:
f79b803dcc98d707450e158db3638dc67ff8380b
* Adds SQL/JSON constructors to ruleutils_15.c
Relevant PG commits:
f4fb45d15c59d7add2e1b81a9d477d0119a9691a
cc7401d5ca498a84d9b47fd2e01cebd8e830e558
* Adds support for MERGE in ruleutils_15.c
Relevant PG commit:
7103ebb7aae8ab8076b7e85f335ceb8fe799097c
* Add IS JSON predicate to ruleutils_15.c
Relevant PG commit:
33a377608fc29cdd1f6b63be561eab0aee5c81f0
* Add SQL/JSON query functions to ruleutils_15.c
Relevant PG commit:
1a36bc9dba8eae90963a586d37b6457b32b2fed4
* Adds three different SQL/JSON values to ruleutils_15.c
Relevant PG commits:
606948b058dc16bce494270eea577011a602810e
49082c2cc3d8167cca70cfe697afb064710828ca
* Adds JSON table functions in ruleutils_15.c
Relevant PG commit:
4e34747c88a03ede6e9d731727815e37273d4bc9
* Add PLAN function for JSON table in ruleutils_15.c
Relevant PG commit:
fadb48b00e02ccfd152baa80942de30205ab3c4f
* Remove extra blank lines before block-closing braces ruleutils_15.c
Relevant PG commit:
24d2b2680a8d0e01b30ce8a41c4eb3b47aca5031
* set_deparse_plan: Reuse variable to appease Coverity ruleutils_15.c
Relevant PG commit:
e70813fbc4aaca35ec012d5a426706bd54e4acab
* Mechanical code beautification ruleutils_15.c
Relevant PG commit:
23e7b38bfe396f919fdb66057174d29e17086418
* Rename value_type to item_type in ruleutils_15.c
Relevant PG commit:
3ab9a63cb638a1fd99475668e2da9c237495aeda
* Show 'AS "?column?"' explicitly when it's important in ruleutils_15.c
Relevant PG commit:
c7461fc25558832dd347a9c8150b0f1ed85e36e8
* Fix ruleutils_15.c issues with dropped cols in funcs-returning-composite
Relevant PG commit:
c1d1e8469c77ce6b8e5310955580b4a3eee7fe96
* Change comment regarding functions returning composite in ruleutils_15.c
Relevant PG commit:
c2fa113ddb1117b1f03e91960f65d5d7d8a90270
* Replace int nodes with bool nodes where needed
In PG15, Boolean nodes are added. Pre PG15, internal Boolean values
in Create Role commands were represented by Integer nodes. This
commit replaces int nodes logic with bool nodes logic where needed.
Mostly there are CREATE ROLE logic changes.
Relevant PG commit:
941460fcf731a32e6a90691508d5cfa3d1f8eeaf
* Handle new option colliculocale in CREATE COLLATION logic
In PG15, there is an added option to use ICU as global locale provider.
pg_collation has three locale-related fields: collcollate and collctype,
which are libc-related fields, and a new one colliculocale, which is the
ICU-related field. Only the libc-related fields or the ICU-related field
is set, never both.
Relevant PG commits:
f2553d43060edb210b36c63187d52a632448e1d2
54637508f87bd5f07fb9406bac6b08240283be3b
* Add PG15 tests to CI using test images that have 15beta2 (#6093)
* Change warning message in pg_signal_backend()
Relevant PG commit:
7fa945b857cc1b2964799411f1633468826861ff
* Revert "Add missing ifdef for PG 15"
This reverts commit c7b51025ab.
* Fixes tests for ALTER TRIGGER RENAME consistency for part. tables
Relevant PG commit:
80ba4bb383538a2ee846fece6a7b8da9518b6866
* Prevent creating child triggers on partitions when adding new node
Pre PG15, tgisinternal is true for a "child" trigger on a partition
cloned from the trigger on the parent.
In PG15, tgisinternal is false in that case. However, we don't want to
create this trigger on the partition since it will create a conflict
when we try to attach the partition to the parent table:
ERROR: trigger "..." for relation "{partition_name}" already exists
Relevant PG commit:
f4566345cf40b068368cb5617e61318da60676ec
* Fix tests for generated columns dependency changes
In PG15, For GENERATED columns, all dependencies of the generation
expression are recorded as NORMAL dependencies of the column itself.
This requires CASCADE to drop generated cols with the original col.
PRE PG15, dependencies were recorded as AUTO, with which
generated columns are silently dropped with the original column.
Relevant PG commit:
cb02fcb4c95bae08adaca1202c2081cfc81a28b5
* Explicitly cast catalog "char" column to text before concatenation
Relevant PG commit:
07eee5a0dc642d26f44d65c4e6263304208e8583
* Remove 'AS "?column?"' from test outputs
There were some instances in the following tst outputs
in planning debug outputs where AS "?column?" is added.
We add a normalization rule to remove it as it is not
important.
cte_inline.out
recursive_relation_planning_restriction_pushdown.out
Relevant PG commit:
c7461fc25558832dd347a9c8150b0f1ed85e36e8
* Use pg_backup_stop(PG15) instead of pg_stop_backup(PG<15)
Add an alternative test output because of the change in the
backup modes of Postgres. Specifically here, there is a renaming
issue: pg_stop_backup PRE PG15 vs pg_backup_stop PG15+
The alternative output can be deleted when we drop support for PG14
Relevant PG commit:
39969e2a1e4d7f5a37f3ef37d53bbfe171e7d77a
* Adds citus.mitmfifo GUC
Previously we setting this configuration parameter
in the fly for failure tests schedule.
However, PG15 doesn't allow that anymore: reserved prefixes
like "citus" cannot be used to set non-existing GUCs.
Relevant PG commit:
88103567cb8fa5be46dc9fac3e3b8774951a2be7
* Handles EXPLAIN output diffs in PG15 - Extra result lines
To handle extra "Result" lines in explain outputs, we add explain
method to multi_test_helpers.sql file
- plan_without_result_lines() is added for cases where we want the
whole explain output with only "Result" lines removed
* Handles EXPLAIN output diffs in PG15, Hash Agg/Join leverage
To handle differences in usage of GroupAggregate vs HashAggregate
or Merge Join vs Hash join in cases where this detail doesn't
seem to matter, we use coordinator_plan().
- coordinator_plan() is updated to remove "Result" lines
There are some cases where we have subplans so we add a new
function that prints all Task Count lines as well
- coordinator_plan_with_subplans()
Still not sure of the relevant PG commit
Could be db0d67db2401eb6238ccc04c6407a4fd4f985832
but disabling enable_group_by_reordering didn't help.
* Handles EXPLAIN output diffs in PG15: enable_group_by_reordering
Relevant PG commit
db0d67db2401eb6238ccc04c6407a4fd4f985832
* Normalizes Memory Usage, Buckets, Batches for PG15 explain diffs
We create a new function in multi_test_helpers, which is similar
to explain_merge function in PG15. This explain helper function
normalies Memory Usage, Buckets and Batches, and we use it in the
tests which give a different output for PG15.
* Bump test images to 15beta3 (#6172)
* Omit namespace in post-copy errmsg
Relevant PG commit:
069d33d0c5a021601245e44df77a0423ddd69359
* Handles EXPLAIN output diffs in PG15: extra arrows&result lines
To handle extra "->" arrows resulting from extra Result lines
in explain outputs, we add the following explain method to
multi_test_helpers.sql file
- plan_without_arrows() is added for cases where we want the
whole explain output without arrows and without Result lines
* Alters public schema's owner to pg_database_owner in PG15
In PG15, public schema is owned by pg_database_owner role.
In multi_extension, we drop and recreate the ppublic schema,
hence its owner become the default user in our tests, postgres.
Change that to pg_database_owner for PG15 consistency.
This results in alternative test output for public schema grants
in the following test:
grant_on_schema_propagation.sql
Relevant PG commit: b073c3ccd06e4cb845e121387a43faa8c68a7b62
* Add alternative test outputs for change in Insert Select display
citus_local_tables_queries.sql
coordinator_shouldhaveshards.sql
cte_inline.sql
insert_select_repartition.sql
intermediate_result_pruning.sql
local_shard_execution.sql
local_shard_execution_replicated.sql
multi_deparse_shard_query.sql
multi_insert_select.sql
multi_insert_select_conflict.sql
multi_mx_insert_select_repartition.sql
mx_coordinator_shouldhaveshards.sql
single_node.sql
Relevant PG commit:
a8d8445a7b2f80f6d0bfe97b19f90bd2cbef8759
* Fixes columnar tap tests for PG15
In PG15, Perl test modules have been moved to a new namespace.
Also, postgres node new() and get_new_node() methods have been
unified to one method: new()
We create separate tap tests for PG13/14 and PG15+
and update the Makefiles accordingly.
Relevant PG commits:
201a76183e2056c2217129e12d68c25ec9c559c8
b3b4d8e68ae83f432f43f035c7eb481ef93e1583
* Handles EXPLAIN output diffs in PG15: HashAgg Leverage,alt. output
Still not sure of the relevant PG commit
Could be db0d67db2401eb6238ccc04c6407a4fd4f985832
but disabling enable_group_by_reordering didn't help.
When using `citus.replicate_reference_tables_on_activate = off`,
reference tables need to be replicated later. This can be done using the
`replicate_reference_tables()` UDF. However, this function only allowed
blocking replication. This changes the function to default to logical
replication instead, and allows choosing any of our existing shard
transfer modes.
The new shard copy code that was created for shard splits has some
advantages over the old shard copy code. The old code was using
worker_append_table_to_shard, which wrote to disk twice. And it also
didn't use binary copy when that was possible. Both of these issues
were fixed in the new copy code. This PR starts using this new copy
logic also for shard moves, not just for shard splits.
On my local machine I created a single shard table like this.
```sql
set citus.shard_count = 1;
create table t(id bigint, a bigint);
select create_distributed_table('t', 'id');
INSERT into t(id, a) SELECT i, i from generate_series(1, 100000000) i;
```
I then turned `fsync` off to make sure I wasn't bottlenecked by disk.
Finally I moved this shard between nodes with `citus_move_shard_placement`
with `block_writes`.
Before this PR a move took ~127s, after this PR it took only ~38s. So for this
small test this resulted in spending ~70% less time.
And I also tried the same test for a table that contained large strings:
```sql
set citus.shard_count = 1;
create table t(id bigint, a bigint, content text);
select create_distributed_table('t', 'id');
INSERT into t(id, a, content) SELECT i, i, 'aunethautnehoautnheaotnuhetnohueoutnehotnuhetncouhaeohuaeochgrhgd.athbetndairgexdbuhaobulrhdbaetoausnetohuracehousncaoehuesousnaceohuenacouhancoexdaseohusnaetobuetnoduhasneouhaceohusnaoetcuhmsnaetohuacoeuhebtokteaoshetouhsanetouhaoug.lcuahesonuthaseauhcoerhuaoecuh.lg;rcydabsnetabuesabhenth' from generate_series(1, 20000000) i;
```
citus_locks combines the pg_locks views from all nodes and adds
global_pid, nodeid, and relation_name. The columns of citus_locks don't
change based on the Postgres version, however the pg_locks's columns do.
Postgres 14 added one more column to pg_locks (waitstart timestamptz).
citus_locks has the most expansive column set, including the newly added
column. If citus_locks is queried in a Postgres version where pg_locks
doesn't have some columns, the values for those columns in citus_locks
will be NULL
* 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
Gokhan Gulbiz
aykut-bozkurt
Onur Tirtir
Ahmet Gedemenli
Halil Ozan Akgül
aykutbozkurt
rajeshkt78
Hanefi Onaldi
Naisila Puka
Marco Slot
Teja Mupparti
Jelte Fennema
Nils Dijk
Nitish Upreti
Sameer Awasekar
Ying Xu
Sameer Awasekar