VLAs aren't supported by Visual Studio.
- Remove all existing instances of VLAs.
- Add a flag, -Werror=vla, which makes gcc refuse to compile if we add
VLAs in the future.
- variable length arrays (VLAs) do not work with Visual Studio
- fix an off-by-one error. We incorrectly assumed there would always at
least as many edges as there were nodes.
- refactor: reduce scope of transactionNodeStack by moving it into the
function which uses it.
- refactor: break up the distinct uses of currentStackDepth into
separate variables.
It's against our coding convention to call functions inside parameter
lists; when single-stepping with a debugger it's difficult to determine
what the function returned.
That wouldn't be good enough reason to change this code but while
porting Citus to Windows I ran into this line of code.
assign_distributed_transaction_id was called with a weird timestamp and
I wasn't able to find the problem without first making this change.
* Don't use expressions inside compound statements
* Don't depend on __builtin_constant_p
* Remove reliance on S_ISLNK
* Replace use of __func__: older mcvs doesn't support this builtin
With this fix, we traverse the graph with DFS which was originally
intended. Note that, before the fix, we traverse the graph with BFS
which might lead to killing some unrelated backend that is not
involved in the distributed deadlock.
By sharing the implementation of the function AppendOptionListToString on
three call sites, we would expand an extra OPTIONS keyword in a create index
statement, and omit other bits of the specific syntax here.
This patch introduces an AppendStorageParametersToString() function that is
very similar to AppendOptionListToString() but handles WITH(a="foo",...)
syntax that is used in reloptions (aka Storage Parameters).
Fixes#1747.
PostgreSQL implements support for several relation kinds in a single
statement, such as in the AlterTableStmt case, which supports both tables
and indexes and more (see ATExecSetRelOptions in PostgreSQL source code file
src/backend/commands/tablecmds.c for an example of that).
As a consequence, this patch implements support for setting and resetting
storage parameters on both relation kinds.
The command is now distributed among the shards when the table is
distributed. To that effect, we fill in the DDLJob's targetRelationId with
the OID of the table for which the index is defined, rather than the OID of
the index itself.
The implementation was already mostly in place, but the code was protected
by a principled check against the operation. Turns out there's a nasty
concurrency bug though with long identifier names, much as in #1664.
To prevent deadlocks from happening, we could either review the DDL
transaction management in shards and placements, or we can simply reject
names with (NAMEDATALEN - 1) chars or more — that's because of the
PostgreSQL array types being created with a one-char prefix: '_'.
We shouldn't return in middle of a PG_TRY() block because if we do, we won't reset PG_exception_stack, and later when a re-throw tries to jump to the jump-point which was active in this PG_TRY() block, it seg-faults.
We used to return in middle of PG_TRY() block in WaitForConnections() where we checked for cancellations. Whenever cancellations were caught here, Citus crashed. And example was reported by @onderkalaci at #1903.
clause is not supported
This change allows unsupported clauses to go through query pushdown
planner instead of erroring out as we already do for non-outer joins.
We used to error out if the join clause includes filters like
t1.a < t2.a even if other filter like t1.key = t2.key exists.
Recently we lifted that restriction in subquery planning by
not lifting that restriction and focusing on equivalance classes
provided by postgres.
This checkin forwards previously erroring out real-time queries
due to join clauses to subquery planner and let it handle the
join even if the query does not have a subquery.
We are now pushing down queries that do not have any
subqueries in it. Error message looked misleading, changed to a more descriptive one.
We were creating intermediate query result's target
names from subquery target list. Now we also check
if cte re-defines its column name aliases, and create
intermediate result query accordingly.
The macro we were using to detect strtoull isn't set on Windows, and
just in case there are differences use a portable function from PG
instead of calling strtoull directly.
This commit introduces a new GUC to limit the intermediate
result size which we handle when we use read_intermediate_result
function for CTEs and complex subqueries.
With this commit, Citus recursively plans subqueries that
are not safe to pushdown, in other words, requires a merge
step.
The algorithm is simple: Recursively traverse the query from bottom
up (i.e., bottom meaning the leaf queries). On each level, check
whether the query is safe to pushdown (or a single repartition
subquery). If the answer is yes, do not touch that subquery. If the
answer is no, plan the subquery seperately (i.e., create a subPlan
for it) and replace the subquery with a call to
`read_intermediate_results(planId, subPlanId)`. During the the
execution, run the subPlans first, and make them avaliable to the
next query executions.
Some of the queries hat this change allows us:
* Subqueries with LIMIT
* Subqueries with GROUP BY/DISTINCT on non-partition keys
* Subqueries involving re-partition joins, router queries
* Mixed usage of subqueries and CTEs (i.e., use CTEs in
subqueries as well). Nested subqueries as long as we
support the subquery inside the nested subquery.
* Subqueries with local tables (i.e., those subqueries
has the limitation that they have to be leaf subqueries)
* VIEWs on the distributed tables just works (i.e., the
limitations mentioned below still applies to views)
Some of the queries that is still NOT supported:
* Corrolated subqueries that are not safe to pushdown
* Window function on non-partition keys
* Recursively planned subqueries or CTEs on the outer
side of an outer join
* Only recursively planned subqueries and CTEs in the FROM
(i.e., not any distributed tables in the FROM) and subqueries
in WHERE clause
* Subquery joins that are not on the partition columns (i.e., each
subquery is individually joined on partition keys but not the upper
level subquery.)
* Any limitation that logical planner applies such as aggregate
distincts (except for count) when GROUP BY is on non-partition key,
or array_agg with ORDER BY
Brian Cloutier
Brian Cloutier
Marco Slot
Hadi Moshayedi
Onder Kalaci
Dimitri Fontaine
velioglu
Marco Slot
mehmet furkan şahin
Murat Tuncer
metdos