56.4. Foreign Data Wrapper Query Planning
The FDW callback functions
PlanDirectModify must fit into the workings of the PostgreSQL planner. Here are some notes about what they must do.
The information in
baserel can be used to reduce the amount of information that has to be fetched from the foreign table (and therefore reduce the cost).
baserel->baserestrictinfo is particularly interesting, as it contains restriction quals (
WHERE clauses) that should be used to filter the rows to be fetched. (The FDW itself is not required to enforce these quals, as the core executor can check them instead.)
baserel->reltarget->exprs can be used to determine which columns need to be fetched; but note that it only lists columns that have to be emitted by the
ForeignScan plan node, not columns that are used in qual evaluation but not output by the query.
Various private fields are available for the FDW planning functions to keep information in. Generally, whatever you store in FDW private fields should be palloc'd, so that it will be reclaimed at the end of planning.
baserel->fdw_private is a
void pointer that is available for FDW planning functions to store information relevant to the particular foreign table. The core planner does not touch it except to initialize it to NULL when the
RelOptInfo node is created. It is useful for passing information forward from
GetForeignPlan, thereby avoiding recalculation.
GetForeignPaths can identify the meaning of different access paths by storing private information in the
fdw_private field of
fdw_private is declared as a
List pointer, but could actually contain anything since the core planner does not touch it. However, best practice is to use a representation that's dumpable by
nodeToString, for use with debugging support available in the backend.
GetForeignPlan can examine the
fdw_private field of the selected
ForeignPath node, and can generate
fdw_private lists to be placed in the
ForeignScan plan node, where they will be available at execution time. Both of these lists must be represented in a form that
copyObject knows how to copy. The
fdw_private list has no other restrictions and is not interpreted by the core backend in any way. The
fdw_exprs list, if not NIL, is expected to contain expression trees that are intended to be executed at run time. These trees will undergo post-processing by the planner to make them fully executable.
GetForeignPlan, generally the passed-in target list can be copied into the plan node as-is. The passed
scan_clauses list contains the same clauses as
baserel->baserestrictinfo, but may be re-ordered for better execution efficiency. In simple cases the FDW can just strip
RestrictInfo nodes from the
scan_clauses list (using
extract_actual_clauses) and put all the clauses into the plan node's qual list, which means that all the clauses will be checked by the executor at run time. More complex FDWs may be able to check some of the clauses internally, in which case those clauses can be removed from the plan node's qual list so that the executor doesn't waste time rechecking them.
As an example, the FDW might identify some restriction clauses of the form
sub_expression, which it determines can be executed on the remote server given the locally-evaluated value of the
sub_expression. The actual identification of such a clause should happen during
GetForeignPaths, since it would affect the cost estimate for the path. The path's
fdw_private field would probably include a pointer to the identified clause's
RestrictInfo node. Then
GetForeignPlan would remove that clause from
scan_clauses, but add the
fdw_exprs to ensure that it gets massaged into executable form. It would probably also put control information into the plan node's
fdw_private field to tell the execution functions what to do at run time. The query transmitted to the remote server would involve something like
WHERE , with the parameter value obtained at run time from evaluation of the
foreign_variable = $1
fdw_exprs expression tree.
Any clauses removed from the plan node's qual list must instead be added to
fdw_recheck_quals or rechecked by
RecheckForeignScan in order to ensure correct behavior at the
READ COMMITTED isolation level. When a concurrent update occurs for some other table involved in the query, the executor may need to verify that all of the original quals are still satisfied for the tuple, possibly against a different set of parameter values. Using
fdw_recheck_quals is typically easier than implementing checks inside
RecheckForeignScan, but this method will be insufficient when outer joins have been pushed down, since the join tuples in that case might have some fields go to NULL without rejecting the tuple entirely.
ForeignScan field that can be filled by FDWs is
fdw_scan_tlist, which describes the tuples returned by the FDW for this plan node. For simple foreign table scans this can be set to
NIL, implying that the returned tuples have the row type declared for the foreign table. A non-
NIL value must be a target list (list of
TargetEntrys) containing Vars and/or expressions representing the returned columns. This might be used, for example, to show that the FDW has omitted some columns that it noticed won't be needed for the query. Also, if the FDW can compute expressions used by the query more cheaply than can be done locally, it could add those expressions to
fdw_scan_tlist. Note that join plans (created from paths made by
GetForeignJoinPaths) must always supply
fdw_scan_tlist to describe the set of columns they will return.
The FDW should always construct at least one path that depends only on the table's restriction clauses. In join queries, it might also choose to construct path(s) that depend on join clauses, for example
local_variable. Such clauses will not be found in
baserel->baserestrictinfo but must be sought in the relation's join lists. A path using such a clause is called a “parameterized path”. It must identify the other relations used in the selected join clause(s) with a suitable value of
get_baserel_parampathinfo to compute that value. In
local_variable portion of the join clause would be added to
fdw_exprs, and then at run time the case works the same as for an ordinary restriction clause.
If an FDW supports remote joins,
GetForeignJoinPaths should produce
ForeignPaths for potential remote joins in much the same way as
GetForeignPaths works for base tables. Information about the intended join can be passed forward to
GetForeignPlan in the same ways described above. However,
baserestrictinfo is not relevant for join relations; instead, the relevant join clauses for a particular join are passed to
GetForeignJoinPaths as a separate parameter (
An FDW might additionally support direct execution of some plan actions that are above the level of scans and joins, such as grouping or aggregation. To offer such options, the FDW should generate paths and insert them into the appropriate upper relation. For example, a path representing remote aggregation should be inserted into the
UPPERREL_GROUP_AGG relation, using
add_path. This path will be compared on a cost basis with local aggregation performed by reading a simple scan path for the foreign relation (note that such a path must also be supplied, else there will be an error at plan time). If the remote-aggregation path wins, which it usually would, it will be converted into a plan in the usual way, by calling
GetForeignPlan. The recommended place to generate such paths is in the
GetForeignUpperPaths callback function, which is called for each upper relation (i.e., each post-scan/join processing step), if all the base relations of the query come from the same FDW.
PlanForeignModify and the other callbacks described in Section 56.2.4 are designed around the assumption that the foreign relation will be scanned in the usual way and then individual row updates will be driven by a local
ModifyTable plan node. This approach is necessary for the general case where an update requires reading local tables as well as foreign tables. However, if the operation could be executed entirely by the foreign server, the FDW could generate a path representing that and insert it into the
UPPERREL_FINAL upper relation, where it would compete against the
ModifyTable approach. This approach could also be used to implement remote
SELECT FOR UPDATE, rather than using the row locking callbacks described in Section 56.2.5. Keep in mind that a path inserted into
UPPERREL_FINAL is responsible for implementing all behavior of the query.
When planning an
PlanDirectModify can look up the
RelOptInfo struct for the foreign table and make use of the
baserel->fdw_private data previously created by the scan-planning functions. However, in
INSERT the target table is not scanned so there is no
RelOptInfo for it. The
List returned by
PlanForeignModify has the same restrictions as the
fdw_private list of a
ForeignScan plan node, that is it must contain only structures that
copyObject knows how to copy.
INSERT with an
ON CONFLICT clause does not support specifying the conflict target, as unique constraints or exclusion constraints on remote tables are not locally known. This in turn implies that
ON CONFLICT DO UPDATE is not supported, since the specification is mandatory there.