From: Bruce Momjian Date: Mon, 20 Jul 1998 10:01:51 +0000 (+0000) Subject: Update version. X-Git-Tag: REL9_0_0~26888 X-Git-Url: http://git.osdn.net/view?a=commitdiff_plain;h=a6ca652508c1d12ccc5b3ec0a9d80eea37e1d34c;p=pg-rex%2Fsyncrep.git Update version. --- diff --git a/src/tools/backend/index.html b/src/tools/backend/index.html index 2fb2a096af..626517293c 100644 --- a/src/tools/backend/index.html +++ b/src/tools/backend/index.html @@ -10,6 +10,7 @@ How PostgreSQL Processes a Query by Bruce Momjian

+ A query comes to the backend via data packets arriving through TCP/IP or Unix Domain sockets. It is loaded into a string, and passed to the @@ -22,12 +23,14 @@ identify the query type, and load the proper query-specific structure, like CreateStmt or SelectStmt.

+ The query is then identified as a Utility query or a more complex query. A Utility query is processed by a query-specific function in commands. A complex query, like SELECT, UPDATE, and DELETE requires much more handling.

+ The parser takes a complex query, and creates a Query structure that contains all the elements used by complex queries. Query.qual holds the @@ -39,6 +42,7 @@ are linked together to form the range table of the query, which is generated by makeRangeTable(). Query.rtable holds the query's range table.

+ Certain queries, like SELECT, return columns of data. Other queries, like INSERT and UPDATE, specify the columns modified by the query. These column references are converted to transformTargetList().

+ Other query elements, like aggregates(SUM()), GROUP BY, and ORDER BY are also stored in their own Query fields.

+ The next step is for the Query to be modified by any VIEWS or RULES that may apply to the query. This is performed by the rewrite system.

+ The optimizer takes the Query structure and generates an optimal Plan, which contains the @@ -65,18 +72,21 @@ table join order and join type of each table in the RangeTable, using Query.qual(WHERE clause) to consider optimal index usage.

+ The Plan is then passed to the executor for execution, and the result returned to the client. The Plan actually as set of nodes, arranged in a tree structure with a top-level node, and various sub-nodes as children. -

+ There are many other modules that support this basic functionality. They can be accessed by clicking on the flowchart.

+


+

Click on an item to see more detail or look at the full @@ -107,8 +117,10 @@ Click on an item to see more detail or look at the full

+


+ Another area of interest is the shared memory area, which contains data accessable to all backends. It has table recently used data/index blocks, locks, backend information, and lookup tables for these @@ -147,6 +159,7 @@ HREF="../../backend/storage/ipc/shmem.c">ShmemInitStruct(), and the lookups are created by ShmemInitHash().

+