No need for description, fixing issue introduced with new feature for
11.1
Fixes#6333
Due to Postgres' C api being o-indexed and postgres' attributes being
1-indexed, we were reading the wrong Datum as the Task owner when
cancelling. Here we add a test to show the error and fix the off-by-one
error.
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'
pg_dist_node and pg_dist_colocation have a primary key index, not a replica identity index.
Citus catalog tables are created in public schema, which has replica identity index by default
as primary key index. Later the citus catalog tables are moved to pg_catalog schema.
During pg_upgrade, all tables are recreated, and given that pg_dist_colocation is found in
pg_catalog schema, it is recreated in that schema, and when it is recreated it doesn't
have a replica identity index, because catalog tables have no replica identity.
Further action:
Do we even need to acquire this lock on the primary key index?
Postgres doesn't acquire such locks on indexes before deleting catalog tuples.
Also, catalog tuples don't have replica identities by definition.
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>
We currently do a `pg_relation_total_size('t1') + pg_relation_total_size('t2') + ..` on shard lists, especially when rebalancing the shards. This in some cases goes huge. With this PR, we basically use a SUM for all table sizes, instead of using thousands of pluses.
There are 3 different ways that a sequence can be interacting
with tables. (1) and (2) are already supported. This commit adds
support for (3).
(1) column DEFAULT nextval('seq'):
The dependency is roughly like below,
and ExpandCitusSupportedTypes() is responsible
for finding the depending sequences.
schema <--- table <--- column <---- default value
^ |
|------------------ sequence <--------|
(2) serial columns: Bigserial/small serial etc:
The dependency is roughly like below,
and ExpandCitusSupportedTypes() is responsible
for finding the depending sequences.
schema <--- table <--- column <---- default value
^ |
| |
sequence <--------|
(3) Sequence OWNED BY table.column: Added support for
this type of resolution in this commit.
The dependency is almost like the following, and
ExpandCitusSupportedTypes() is NOT responsible for finding
the dependency.
schema <--- table <--- column
^
|
sequence
Object type ids have changed in PG15 because of at least two added
objects in the list: OBJECT_PARAMETER_ACL, OBJECT_PUBLICATION_NAMESPACE
To avoid different output between pg versions, let's use the object
name in the error, and put the object id in the error detail.
Relevant PG commits:
a0ffa885e478f5eeacc4e250e35ce25a4740c487
5a2832465fd8984d089e8c44c094e6900d987fcd
This is a refactoring PR that starts using our new hash table creation
helper function. It adds a few more macros for ease of use, because C
doesn't have default arguments. It also adds a macro to check if a
struct contains automatic padding bytes. No struct that is hashed using
tag_hash should have automatic padding bytes, because those bytes are
undefined and thus using them to create a hash will result in undefined
behaviour (usually a random hash).
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.
Do not obtain AccessShareLock before acquiring the distributed locks.
Acquiring an AccessShareLock ensures that the relations which we are trying to get a distributed lock on will not be dropped in the time between when the LOCK command is issued and the LOCK commands are send to the worker. However, this also leads to distributed deadlocks in such scenarios:
```sql
-- for dist lock acquiring order coor, w1, w2
-- on w2
LOCK t1 IN ACCESS EXLUSIVE MODE;
-- acquire AccessShareLock locally on t1 to ensure it is not dropped while we get ready to distribute the lock
-- concurrently on w1
LOCK t1 IN ACCESS EXLUSIVE MODE;
-- acquire AccessShareLock locally on t1 to ensure it is not dropped while we get ready to distribute the lock
-- acquire dist lock on coor, w1, gets blocked on local AccessShareLock on w2
-- on w2 continuation of the execution above
-- starts to acquire dist locks and gets blocked on the coor by the lock acquired by w1
-- distributed deadlock
```
We opt for avoiding such deadlocks with the cost of the possibility of running into errors when the relations on which we are trying to acquire locks on get dropped.
It is often useful to be able to sync the metadata in parallel
across nodes.
Also citus_finalize_upgrade_to_citus11() uses
start_metadata_sync_to_primary_nodes() after this commit.
Note that this commit does not parallelize all pieces of node
activation or metadata syncing. Instead, it tries to parallelize
potenially large parts of metadata, which is the objects and
distributed tables (in general Citus tables).
In the future, it would be nice to sync the reference tables
in parallel across nodes.
Create ~720 distributed tables / ~23450 shards
```SQL
-- declaratively partitioned table
CREATE TABLE github_events_looooooooooooooong_name (
event_id bigint,
event_type text,
event_public boolean,
repo_id bigint,
payload jsonb,
repo jsonb,
actor jsonb,
org jsonb,
created_at timestamp
) PARTITION BY RANGE (created_at);
SELECT create_time_partitions(
table_name := 'github_events_looooooooooooooong_name',
partition_interval := '1 day',
end_at := now() + '24 months'
);
CREATE INDEX ON github_events_looooooooooooooong_name USING btree (event_id, event_type, event_public, repo_id);
SELECT create_distributed_table('github_events_looooooooooooooong_name', 'repo_id');
SET client_min_messages TO ERROR;
```
across 1 node: almost same as expected
```SQL
SELECT start_metadata_sync_to_primary_nodes();
Time: 15664.418 ms (00:15.664)
select start_metadata_sync_to_node(nodename,nodeport) from pg_dist_node;
Time: 14284.069 ms (00:14.284)
```
across 7 nodes: ~3.5x improvement
```SQL
SELECT start_metadata_sync_to_primary_nodes();
┌──────────────────────────────────────┐
│ start_metadata_sync_to_primary_nodes │
├──────────────────────────────────────┤
│ t │
└──────────────────────────────────────┘
(1 row)
Time: 25711.192 ms (00:25.711)
-- across 7 nodes
select start_metadata_sync_to_node(nodename,nodeport) from pg_dist_node;
Time: 82126.075 ms (01:22.126)
```
* Bug fix for bug #5876. Memset MetadataCacheSystem every time there is an abort
* Created an ObjectAccessHook that saves the transactionlevel of when citus was created and will clear metadatacache if that transaction level is rolled back. Added additional tests to make sure metadatacache is cleared
In the past (pre-11), we allowed removing worker nodes
that had active placements for replicated distributed
table, without even checking if there are any other
replicas of the same placement.
However, with #5469, we prevent disabling nodes via a hard
error when there is the last active placement of shard, as we
do for reference tables. Note that otherwise, we'd allow
users to lose data.
As of today, the NOTICE is completely irrelevant.
First worker node has a special meaning for modifications on the replicated tables
It is used to acquire a remote lock, such that the modifications are serialized.
With this commit, we make sure that we do not let any distributed query to see a
different 'first worker node' while first worker node is disabled.
Note that, maybe implicitly mentioned above, when first worker node is disabled,
the first worker node changes, that's why we have to handle the situation.
Before this commit, we had:
```SQL
SELECT citus_disable_node(nodename, nodeport, force boolean DEFAULT false)
```
Where, we allow forcing to disable first worker node with
`force:=true`. However, it entails the risk for losing
data / diverging placement data etc.
With `force` flag, we control disabling the first worker node,
and with `async` flag we control whether the changes are done
via bg worker or immediately.
```SQL
SELECT citus_disable_node(nodename, nodeport, force boolean DEFAULT false, sync boolean DEFAULT false)
```
Where we can achieve all the following:
| Mode | Data loss possibility | Can run in 2PC | Handle multiple node failures | Immediately effective |
| --- |--- |--- |--- |--- |
| force:false, sync: false | false | true | true | false |
| force:false, sync: true | false | false | false | true |
| force:true, sync: false | true | true | true | false |
| force:true, sync: true | false | false | false | true |
We have a mechanism which ensures that newly distributed
objects are recorded during `alter extension citus update`.
However, the logic was lacking "view"s. With this commit, we make
sure that existing views are also marked as distributed during
upgrade.
Adds support for propagation ALTER VIEW commands to
- Change owner of view
- SET/RESET option
- Rename view and view's column name
- Change schema of the view
Since PG also supports targeting views with ALTER TABLE
commands, related code also added to direct such ALTER TABLE
commands to ALTER VIEW commands while sending them to workers.
Adds support for propagating create/drop view commands and views to
worker node while scaling out the cluster. Since views are dropped while
converting the table type, metadata connection will be used while
propagating view commands to not switch to sequential mode.
Gokhan Gulbiz
Nils Dijk
Nitish Upreti
aykut-bozkurt
Naisila Puka
Marco Slot
Ahmet Gedemenli
Onder Kalaci
Jelte Fennema
Marco Slot
Sameer Awasekar
aykutbozkurt
Halil Ozan Akgul
Gledis Zeneli
Ying Xu
Burak Velioglu
Jeff Davis