Enables use views within distributed queries.
User can create and use a view on distributed tables/queries
as he/she would use with regular queries.
After this change router queries will have full support for views,
insert into select queries will support reading from views, not
writing into. Outer joins would have a limited support, and would
error out at certain cases such as when a view is in the inner side
of the outer join.
Although PostgreSQL supports writing into views under certain circumstances.
We disallowed that for distributed views.
This commit fixes a bug when the SELECT target list includes a constant
value.
Previous behaviour of target list re-ordering:
* Iterate over the INSERT target list
* If it includes a Var, find the corresponding SELECT entry
and update its resno accordingly
* If it does not include a Var (which we only considered to be
DEFAULTs), generate a new SELECT target entry
* If the processed target entry count in SELECT target list is less
than the original SELECT target list (GROUP BY elements not included in
the SELECT target entry), add them in the SELECT target list and
update the resnos accordingly.
* However, this step was leading to add the CONST SELECT target entries
twice. The reason is that when CONST target list entries appear in the
SELECT target list, the INSERT target list doesn't include a Var. Instead,
it includes CONST as it does for DEFAULTs.
New behaviour of target list re-ordering:
* Iterate over the INSERT target list
* If it includes a Var, find the corresponding SELECT entry
and update its resno accordingly
* If it does not include a Var (which we consider to be
DEFAULTs and CONSTs on the SELECT), generate a new SELECT
target entry
* If any target entry remains on the SELECT target list which are resjunk,
(GROUP BY elements not included in the SELECT target entry), keep them
in the SELECT target list by updating the resnos.
This commit adds INSERT INTO ... SELECT feature for distributed tables.
We implement INSERT INTO ... SELECT by pushing down the SELECT to
each shard. To compute that we use the router planner, by adding
an "uninstantiated" constraint that the partition column be equal to a
certain value. standard_planner() distributes that constraint to all
the tables where it knows how to push the restriction safely. An example
is that the tables that are connected via equi joins.
The router planner then iterates over the target table's shards,
for each we replace the "uninstantiated" restriction, with one that
PruneShardList() handles. Do so by replacing the partitioning qual
parameter added in multi_planner() with the current shard's
actual boundary values. Also, add the current shard's boundary values to the
top level subquery to ensure that even if the partitioning qual is
not distributed to all the tables, we never run the queries on the shards
that don't match with the current shard boundaries. Finally, perform the
normal shard pruning to decide on whether to push the query to the
current shard or not.
We do not support certain SQLs on the subquery, which are described/commented
on ErrorIfInsertSelectQueryNotSupported().
We also added some locking on the router executor. When an INSERT/SELECT command
runs on a distributed table with replication factor >1, we need to ensure that
it sees the same result on each placement of a shard. So we added the ability
such that router executor takes exclusive locks on shards from which the SELECT
in an INSERT/SELECT reads in order to prevent concurrent changes. This is not a
very optimal solution, but it's simple and correct. The
citus.all_modifications_commutative can be used to avoid aggressive locking.
An INSERT/SELECT whose filters are known to exclude any ongoing writes can be
marked as commutative. See RequiresConsistentSnapshot() for the details.
We also moved the decison of whether the multiPlan should be executed on
the router executor or not to the planning phase. This allowed us to
integrate multi task router executor tasks to the router executor smoothly.
Murat Tuncer
Marco Slot
Onder Kalaci