Systemtap EXP: PostgreSQL IN-BUILD mark Class 2 - query
背景
本文要讲的是PostgreSQL内建探针的第二个分类 : query.
相比第一个分类transaction, query更加精细. 例如函数调用, 可以精细到函数内部的每个SQL, 以及嵌套函数的最底层的SQL等.
包含SQL查询开始, 结束, 语义解析开始, 结束, 重写开始, 结束, plan开始, 结束, 执行开始, 结束.
Name | Parameters | Description |
---|---|---|
query-start | (const char *) | Probe that fires when the processing of a query is started. arg0 is the query string. |
query-done | (const char *) | Probe that fires when the processing of a query is complete. arg0 is the query string. |
query-parse-start | (const char *) | Probe that fires when the parsing of a query is started. arg0 is the query string. |
query-parse-done | (const char *) | Probe that fires when the parsing of a query is complete. arg0 is the query string. |
query-rewrite-start | (const char *) | Probe that fires when the rewriting of a query is started. arg0 is the query string. |
query-rewrite-done | (const char *) | Probe that fires when the rewriting of a query is complete. arg0 is the query string. |
query-plan-start | () | Probe that fires when the planning of a query is started. |
query-plan-done | () | Probe that fires when the planning of a query is complete. |
query-execute-start | () | Probe that fires when the execution of a query is started. |
query-execute-done | () | Probe that fires when the execution of a query is complete. |
源码位置 :
src/backend/tcop/postgres.c
src/backend/tcop/pquery.c
使用这些探针, 可以收集SQL级别的统计信息, 与事务级别的类似, 所以就不再举例, 有兴趣的童鞋可参考 :
http://blog.163.com/digoal@126/blog/static/163877040201391684012713/
下面要举的这个例子和数据库优化有关, 以前写过一篇优化案例讲解, 有兴趣的童鞋可以参考一下
http://blog.163.com/digoal@126/blog/static/163877040201221382150858/
http://blog.163.com/digoal@126/blog/static/163877040201221333411196/
在使用pgbench压数据库时, 可以选择三种模式.
-M querymode
Protocol to use for submitting queries to the server:
· simple: use simple query protocol.
· extended: use extended query protocol.
· prepared: use extended query protocol with prepared statements.
The default is simple query protocol. (See Chapter 48, Frontend/Backend Protocol, in the documentation for
more information.)
2种协议的区别参见 :
http://www.postgresql.org/docs/9.3/static/protocol-flow.html
A simple query cycle is initiated by the frontend sending a Query message to the backend. The message includes an SQL command (or commands) expressed as a text string. The backend then sends one or more response messages depending on the contents of the query command string, and finally a ReadyForQuery response message. ReadyForQuery informs the frontend that it can safely send a new command. (It is not actually necessary for the frontend to wait for ReadyForQuery before issuing another command, but the frontend must then take responsibility for figuring out what happens if the earlier command fails and already-issued later commands succeed.)
The extended query protocol breaks down the above-described simple query protocol into multiple steps. The results of preparatory steps can be re-used multiple times for improved efficiency. Furthermore, additional features are available, such as the possibility of supplying data values as separate parameters instead of having to insert them directly into a query string.
In the extended protocol, the frontend first sends a Parse message, which contains a textual query string, optionally some information about data types of parameter placeholders, and the name of a destination prepared-statement object (an empty string selects the unnamed prepared statement). The response is either ParseComplete or ErrorResponse. Parameter data types can be specified by OID; if not given, the parser attempts to infer the data types in the same way as it would do for untyped literal string constants.
pgbench的prepared模式用的是extended协议, 同时使用了named prepared statement.
接下来使用stap观察一下3种模式的区别.
stap -e '
probe process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__start") {
println(pn(), user_string($arg1), pid())
}
probe process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__parse__start") {
println(pn(), user_string($arg1), pid())
}
probe process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__rewrite__start") {
println(pn(), user_string($arg1), pid())
}
probe process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__plan__start") {
println(pn(), pid())
}
probe process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start") {
println(pn(), pid())
}'
执行pgbench :
pg93@db-172-16-3-150-> cat test.sql
select clock_timestamp();
首先是simple模式
pg93@db-172-16-3-150-> pgbench -M simple -n -r -f ./test.sql -c 1 -j 1 -t 6
输出, 每条SQL都需要经历query start, parse, rewrite, plan, execute.
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__parse__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__rewrite__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__plan__start")14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__parse__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__rewrite__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__plan__start")14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__parse__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__rewrite__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__plan__start")14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__parse__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__rewrite__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__plan__start")14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__parse__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__rewrite__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__plan__start")14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__parse__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__rewrite__start")select clock_timestamp();14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__plan__start")14146
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14146
接下来是extended模式
pg93@db-172-16-3-150-> pgbench -M extended -n -r -f ./test.sql -c 1 -j 1 -t 6
输出, 没有了query start和 rewrite. 每条SQL都需要经历 parse, plan, execute.
parse中包含SQL语句.
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__parse__start")select clock_timestamp();14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__plan__start")14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__parse__start")select clock_timestamp();14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__plan__start")14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__parse__start")select clock_timestamp();14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__plan__start")14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__parse__start")select clock_timestamp();14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__plan__start")14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__parse__start")select clock_timestamp();14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__plan__start")14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__parse__start")select clock_timestamp();14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__plan__start")14140
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14140
最后是prepared模式
pg93@db-172-16-3-150-> pgbench -M prepared -n -r -f ./test.sql -c 1 -j 1 -t 6
输出, 只有一次query parse, plan, 后面执行同样类型SQL的都是execute.
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__parse__start")select clock_timestamp();14143
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__plan__start")14143
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14143
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14143
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14143
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14143
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14143
process("/home/pg93/pgsql9.3.1/bin/postgres").mark("query__execute__start")14143
显然是一prepared模式效率最高. 但是对于客户端和数据库之间有连接池的情况可能就不适用, 例如pgbouncer连接池.
因为extended协议下如果使用prepared模式, 只有第一个parse消息中包含了sql, 后面都以named prepared statement代替, 如果更换服务端, 将找不到该backend process中存储的named prepared statement. 以致报错.
参考
1. http://blog.163.com/digoal@126/blog/static/163877040201391684012713/
2. http://www.postgresql.org/docs/9.3/static/dynamic-trace.html
3. http://blog.163.com/digoal@126/blog/static/163877040201221382150858/
4. http://blog.163.com/digoal@126/blog/static/163877040201221333411196/
5. src/backend/tcop/postgres.c
6. src/backend/tcop/pquery.c
7. http://www.postgresql.org/docs/9.3/static/protocol-flow.html