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.
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.
We were already doing so for functions & types believing that
this cannot be the case for other object types.
However, as in #5830, we cannot distribute an object that user
attempts creating in temp schema. Even more, this doesn't only
apply to functions and types but also to many other object types.
So with this commit, we teach preprocess/postprocess functions
(that need to create dependencies on worker nodes) how to skip
trying to distribute such objects.
We also start identifying temp schemas as the objects that we
don't know how to propagate to worker nodes so that we can
simply create objects locally if user attempts creating them
in a temp schema.
There are 36 callers of `EnsureDependenciesExistOnAllNodes` in
the codebase atm and for the most we still need to throw a hard
error (i.e.: not use `DeferErrorIfHasUnsupportedDependency`
beforehand), such as:
i) user explicitly wants to create a distributed object
* CreateCitusLocalTable
* CreateDistributedTable
* master_create_worker_shards
* master_create_empty_shard
* create_distributed_function
* EnsureExtensionFunctionCanBeDistributed
ii) we don't want to skip altering distributed table on worker nodes
* PostprocessIndexStmt
* PostprocessCreateTriggerStmt
* PostprocessCreateStatisticsStmt
iii) object is already distributed / handled by Citus before, so we
aren't okay with not propagating the ALTER command
* PostprocessAlterTableSchemaStmt
* PostprocessAlterCollationOwnerStmt
* PostprocessAlterCollationSchemaStmt
* PostprocessAlterDatabaseOwnerStmt
* PostprocessAlterExtensionSchemaStmt
* PostprocessAlterFunctionOwnerStmt
* PostprocessAlterFunctionSchemaStmt
* PostprocessAlterSequenceOwnerStmt
* PostprocessAlterSequenceSchemaStmt
* PostprocessAlterStatisticsSchemaStmt
* PostprocessAlterStatisticsOwnerStmt
* PostprocessAlterTextSearchConfigurationSchemaStmt
* PostprocessAlterTextSearchDictionarySchemaStmt
* PostprocessAlterTextSearchConfigurationOwnerStmt
* PostprocessAlterTextSearchDictionaryOwnerStmt
* PostprocessAlterTypeSchemaStmt
* PostprocessAlterForeignServerOwnerStmt
iv) we already cannot create those objects in temp schemas, so skipping
for now
* PostprocessCreateExtensionStmt
* PostprocessCreateForeignServerStmt
Also note that there are 3 more callers of
`EnsureDependenciesExistOnAllNodes` in enterprise in addition to those
36 but we don't need to do anything specific about them due to the same
reasoning given in iii).
TEXT SEARCH DICTIONARY objects depend on TEXT SEARCH TEMPLATE objects.
Since we do not yet support distributed TS TEMPLATE objects, we skip
dependency checks for text search templates, similar to what we do for
roles.
The user is expected to manually create the TEXT SEARCH TEMPLATE objects
before a) adding new nodes, b) creating TEXT SEARCH DICTIONARY objects.
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.
DESCRIPTION: Move pg_dist_object to pg_catalog
Historically `pg_dist_object` had been created in the `citus` schema as an experiment to understand if we could move our catalog tables to a branded schema. We quickly realised that this interfered with the UX on our managed services and other environments, where users connected via a user with the name of `citus`.
By default postgres put the username on the search_path. To be able to read the catalog in the `citus` schema we would need to grant access permissions to the schema. This caused newly created objects like tables etc, to default to this schema for creation. This failed due to the write permissions to that schema.
With this change we move the `pg_dist_object` catalog table to the `pg_catalog` schema, where our other schema's are also located. This makes the catalog table visible and readable by any user, like our other catalog tables, for debugging purposes.
Note: due to the change of schema, we had to disable 1 test that was running into a discrepancy between the schema and binary. Secondly, we needed to make the lookup functions for the `pg_dist_object` relation and their indexes less strict on the fallback of the naming due to an other test that, due to an unfortunate cache invalidation, needed to lookup the relation again. This makes that we won't default to _only_ resolving from `pg_catalog` outside of upgrades.
Clusters created pre-Citus 11 mostly didn't have metadata sync enabled.
For those clusters, we add a utility UDF which fixes some minor issues
and sync the necessary objects to the workers.
The issue in question is caused when rebalance / replication call `FullShardPlacementList` which returns all shard placements (including those in disabled nodes with `citus_disable_node`). Eventually, `FindFillStateForPlacement` looks for the state across active workers and fails to find a state for the placements which are in the disabled workers causing a seg fault shortly after.
Approach:
* `ActivePlacementHash` was not using the status of the shard placement's node to determine if the node it is active. Initially, I just fixed that.
* Additionally, I refactored the code which handles active shards in replication / rebalance to:
* use a single function to determine if a shard placement is active.
* do the shard active shard filtering before calling `RebalancePlacementUpdates` and `ReplicationPlacementUpdates`, so test methods like `shard_placement_rebalance_array` and `shard_placement_replication_array` which have different shard placement active requirements can do their own filtering while using the same rebalance / replicate logic that `rebalance_table_shards` and `replicate_table_shards` use.
Fix#5664
CitusInitiatedBackend was a pre-mature implemenation of the whole
GlobalPID infrastructure. We used it to track whether any individual
query is triggered by Citus or not.
As of now, after GlobalPID is already in place, we don't need
CitusInitiatedBackend, in fact it could even be wrong.
#5685 introduced the resolution of dependencies for indices. This missed support for indices on partitioned tables. This change adds support for partitioned indices to the dependency resolution code.
CREATE FUNCTION command together with it's dependencies.
If the function depends on any nondistributable object,
function will be created only locally. Parameterless
version of create_distributed_function becomes obsolete
with this change, it will deprecated from the code with a subsequent PR.
DESCRIPTION: Implement TEXT SEARCH CONFIGURATION propagation
The change adds support to Citus for propagating TEXT SEARCH CONFIGURATION objects. TSConfig objects cannot always be created in one create statement, and instead require a create statement followed by many alter statements to get turned into the object they should represent.
To support this we add functionality to the worker to create or replace objects based on a list of statements. When the lists of the local object and the remote object correspond 1:1 we skip the creation of the object and simply mark it distributed. This is especially important for TSConfig objects as initdb pre-populates databases with a dozen configurations (for many different languages).
When the user creates a new TSConfig based on the copy of an existing configuration there is no direct link to the object copied from. Since there is no link we can't simply rely on propagating the dependencies to the worker and send a qualified
Replaces citus.enable_object_propagation with citus.enable_metadata_sync
Also, within Citus 11 release cycle, we added citus.enable_metadata_sync_by_default,
that is also replaced with citus.enable_metadata_sync.
In essence, when citus.enable_metadata_sync is set to true, all the objects
and the metadata is send to the remote node.
We strongly advice that the users never changes the value of
this GUC.
With this commit, rebalancer backends are identified by application_name = citus_rebalancer
and the regular internal backends are identified by application_name = citus_internal
With this commit we've started to propagate sequences and shell
tables within the object dependency resolution. So, ensuring any
dependencies for any object will consider shell tables and sequences
as well. Separate logics for both shell tables and sequences have
been removed.
Since both shell tables and sequences logic were implemented as a
part of the metadata handling before that logic, we were propagating
them while syncing table metadata. With this commit we've divided
metadata (which means anything except shards thereafter) syncing
logic into multiple parts and implemented it either as a part of
ActivateNode. You can check the functions called in ActivateNode
to check definition of different metadata.
Definitions of start_metadata_sync_to_node and citus_activate_node
have also been updated. citus_activate_node will basically create
an active node with all metadata and reference table shards.
start_metadata_sync_to_node will be same with citus_activate_node
except replicating reference tables. stop_metadata_sync_to_node
will remove all the metadata. All of those UDFs need to be called
by superuser.
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
* Require superuser while activating a node
With this change, we require ActiveNode() (hence citus_add_node(),
citus_activate_node()) explicitly require for a superuser.
Before this commit, these functions were designed to work with
non-superuser roles with the relevent GRANTs given.
However, that is not a widely used way for calling the functions
above.
Due to possibility of non-super user calling the UDFs, they were
designed in a way that some commands were using some additional
short-lived superuser connections. That is:
(a) breaking transactional behavior (e.g., ROLLBACK
wouldn't fully rollback the whole transaction)
(b) Making it very complicated to reason about which
parts of the node activation goes over which connections,
and becoming vulnerable to deadlocks / visibility issues.
We prefer the background daemon to only sync node metadata. That's
why we move placement metadata changes from disable node to
activate node. With that, we can make sure that disable node
only changes node metadata, whereas activate node syncs all
the metadata changes. In essence, we already expect all
nodes to be up when a node is activated. So, this does not change
the behavior much.
Dropping sequences means we need to recreate
and hence losing the sequence.
With this commit, we keep the existing sequences
such that resyncing wouldn't drop the sequence.
We do that by breaking the dependency of the sequence
from the table.
Before this commit, Citus was triggering metadata syncing
in the background when a function is distributed. However,
with Citus 11, we expect all clusters to have metadata synced
enabled. So, we do not expect any nodes not to have the metadata.
This change:
(a) pro: simplifies the code and opens up possibilities
to simplify futher by reducing the scope of
bg worker to only sync node metadata
(b) pro: explicitly asks users to sync the metadata such that
any unforseen impact can be easily detected
(c) con: For distributed functions without distribution
argument, we do not necessarily require the metadata
sycned. However, for completeness and simplicity, we
do so.
PostgreSQL does not need calling this function since 7.4 release, and it
is a NOOP.
For more details, check PostgreSQL commit below :
commit dd04e958c8b03c0f0512497651678c7816af3198
Author: Tom Lane <tgl@sss.pgh.pa.us>
Date: Sun Mar 9 03:34:10 2003 +0000
tuplestore_donestoring() isn't needed anymore, but provide a no-op
macro definition so as not to create compatibility problems.
diff --git a/src/include/utils/tuplestore.h b/src/include/utils/tuplestore.h
index b46babacd1..76fe9fb428 100644
--- a/src/include/utils/tuplestore.h
+++ b/src/include/utils/tuplestore.h
@@ -17,7 +17,7 @@
* Portions Copyright (c) 1996-2002, PostgreSQL Global Development Group
* Portions Copyright (c) 1994, Regents of the University of California
*
- * $Id: tuplestore.h,v 1.8 2003/03/09 02:19:13 tgl Exp $
+ * $Id: tuplestore.h,v 1.9 2003/03/09 03:34:10 tgl Exp $
*
*-------------------------------------------------------------------------
*/
@@ -41,6 +41,9 @@ extern Tuplestorestate *tuplestore_begin_heap(bool randomAccess,
extern void tuplestore_puttuple(Tuplestorestate *state, void *tuple);
+/* tuplestore_donestoring() used to be required, but is no longer used */
+#define tuplestore_donestoring(state) ((void) 0)
+
/* backwards scan is only allowed if randomAccess was specified 'true' */
extern void *tuplestore_gettuple(Tuplestorestate *state, bool forward,
bool *should_free);
Since sequences are not marked as distributed while creating table if no
metadata worker node exists, we are marking all sequences distributed
while syncing metadata explicitly.
Before that PR we were updating citus.pg_dist_object metadata, which keeps
the metadata related to objects on Citus, only on the coordinator node. In
order to allow using those object from worker nodes (or erroring out with
proper error message) we've started to propagate that metedata to worker
nodes as well.
As of master branch, Citus does all the modifications to replicated tables
(e.g., reference tables and distributed tables with replication factor > 1),
via 2PC and avoids any shardstate=3. As a side-effect of those changes,
handling node failures for replicated tables change.
With this PR, when one (or multiple) node failures happen, the users would
see query errors on modifications. If the problem is intermitant, that's OK,
once the node failure(s) recover by themselves, the modification queries would
succeed. If the node failure(s) are permenant, the users should call
`SELECT citus_disable_node(...)` to disable the node. As soon as the node is
disabled, modification would start to succeed. However, now the old node gets
behind. It means that, when the node is up again, the placements should be
re-created on the node. First, use `SELECT citus_activate_node()`. Then, use
`SELECT replicate_table_shards(...)` to replicate the missing placements on
the re-activated node.
With this commit, we make sure to use a dedicated connection per
node for all the metadata operations within the same transaction.
This is needed because the same metadata (e.g., metadata includes
the distributed table on the workers) can be modified accross
multiple connections.
With this connection we guarantee that there is a single metadata connection.
But note that this connection can be used for any other operation.
In other words, this connection is not only reserved for metadata
operations.
The checks for preventing to remove a node are very much reference
table centric. We are soon going to add the same checks for replicated
tables. So, make the checks generic such that:
(a) replicated tables fit naturally
(b) we can the same checks in `citus_disable_node`.
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
Onur Tirtir
Hanefi Onaldi
Teja Mupparti
Önder Kalacı