--由于pg中表和索引的信息收集都是基于时间点的,对于以往的信息无法与现在的信息进行对比,故写下此工具进行统计信息收集
--创建数据信息的schema
create schema db_stat;
--创建收集信息的基础表
create table db_stat.snapshot_pg_stat_all_indexes
(relid int,indexrelid int,schemaname varchar(200),relname varchar(550),indexrelname varchar(550),idx_scan bigint,idx_tup_read bigint,idx_tup_fetch bigint,snapid int,snap_create_time timestamp,host_ip cidr,host_port int,host_type varchar(20),comment varchar(500));
create index idx_stat_indexe_relname_indexrelname_createtime on db_stat.snapshot_pg_stat_all_indexes(relname varchar_pattern_ops,indexrelname varchar_pattern_ops,snap_create_time);
create index idx_stat_indexe_snapid on db_stat.snapshot_pg_stat_all_indexes(snapid);
create table db_stat.snapshot_pg_stat_all_tables
(relid int,seq_scan bigint,seq_tup_read bigint,n_tup_ins bigint,n_tup_upd bigint,n_tup_del bigint,n_tup_hot_upd bigint,n_live_tup bigint,n_dead_tup bigint,last_vacuum timestamp,last_autovacuum timestamp,last_analyze timestamp,last_autoanalyze timestamp,vacuum_count bigint,autovacuum_count bigint,analyze_count bigint,autoanalyze_count bigint,comment varchar(500));
create index idx_stat_table_relname_createtime on db_stat.snapshot_pg_stat_all_tables(relname varchar_pattern_ops,snap_create_time);
create index idx_stat_table_snapid on db_stat.snapshot_pg_stat_all_tables(snapid);
create table db_stat.snapshot_pg_statio_all_indexes
(relid int,idx_blks_read bigint,idx_blks_hit bigint,comment varchar(500));
create index idx_statio_indexe_relname_indexrelname_createtime on db_stat.snapshot_pg_statio_all_indexes(relname varchar_pattern_ops,snap_create_time);
create index idx_statio_indexe_snapid on db_stat.snapshot_pg_statio_all_indexes(snapid);
create table db_stat.snapshot_pg_statio_all_tables
(relid int,heap_blks_read bigint,heap_blks_hit bigint,toast_blks_read bigint,toast_blks_hit bigint,tidx_blks_read bigint,tidx_blks_hit bigint,comment varchar(500));
create index idx_statio_table_relname_createtime on db_stat.snapshot_pg_statio_all_tables(relname varchar_pattern_ops,snap_create_time);
create index idx_statio_table_snapid on db_stat.snapshot_pg_statio_all_tables(snapid);
--创建快照的序列
create sequence db_stat.seq_snapshot minvalue 1 maxvalue 99999999999999;
--每收集完信息之后,对时间,主机列等进行填充
create or replace function db_stat.process_snapshot_table(in i_host_ip cidr,in i_host_port int,in i_host_type varchar,in i_comment varchar default '') returns int as $$
declare
v_snapid int;
_detail text;
_hint text;
_message text;
begin
select nextval('db_stat.seq_snapshot') into v_snapid;
update db_stat.snapshot_pg_stat_all_indexes set snapid=v_snapid,snap_create_time=now(),host_ip=i_host_ip,host_port=i_host_port,host_type=i_host_type,comment=i_comment where snapid is null;
update db_stat.snapshot_pg_stat_all_tables set snapid=v_snapid,comment=i_comment where snapid is null;
update db_stat.snapshot_pg_statio_all_indexes set snapid=v_snapid,comment=i_comment where snapid is null;
update db_stat.snapshot_pg_statio_all_tables set snapid=v_snapid,comment=i_comment where snapid is null;
-- 返回值 1 代表成功,0 代表失败
return 1;
EXCEPTION WHEN others then
GET STACKED DIAGNOSTICS
_message = message_text,_detail = pg_exception_detail,_hint = pg_exception_hint;
raise notice 'message: %,detail: %,hint: %',_message,_detail,_hint;
return 0;
end;
$$ language plpgsql;
--收动进行信息采集,测试用
INSERT INTO db_stat.snapshot_pg_stat_all_indexes(relid,indexrelid,schemaname,relname,indexrelname,idx_scan,idx_tup_read,idx_tup_fetch)
SELECT relid,idx_tup_fetch
FROM pg_stat_all_indexes;
INSERT INTO db_stat.snapshot_pg_stat_all_tables(relid,seq_scan,seq_tup_read,idx_tup_fetch,n_tup_ins,n_tup_upd,n_tup_del,n_tup_hot_upd,n_live_tup,n_dead_tup,last_vacuum,last_autovacuum,last_analyze,last_autoanalyze,vacuum_count,autovacuum_count,analyze_count,autoanalyze_count)
SELECT relid,autoanalyze_count
FROM pg_stat_all_tables;
INSERT INTO db_stat.snapshot_pg_statio_all_indexes(relid,idx_blks_read,idx_blks_hit)
SELECT relid,idx_blks_hit
FROM pg_statio_all_indexes;
INSERT INTO db_stat.snapshot_pg_statio_all_tables(relid,heap_blks_read,heap_blks_hit,idx_blks_hit,toast_blks_read,toast_blks_hit,tidx_blks_read,tidx_blks_hit)
SELECT relid,tidx_blks_hit
FROM pg_statio_all_tables;
--
select db_stat.process_snapshot_table('192.168.174.10',5432,'MASTER','');
--创建一个shell脚本,每天通过定时任务进行信息采集
cat snap_stat.sh
#!/bin/sh
source ~/.bash_profile
source /etc/profile
Psql="psql"
help_msg (){
echo ""
echo "Usage:"
echo " -f 要输出结果的文件,如果为null,则默认为/tmp/snapshot_pg_stat.log"
echo " -u 数据库连接用户名,如果为null,则为postgresql默认"
echo " -d 连接的数据库名,则为postgresql默认"
echo " -H 数据库的主机ip,则为postgresql默认"
echo " -p 数据库的端口,则为postgresql默认"
echo " -m 数据库的类型,MASTER为主,SLAVE为从"
echo ""
exit 0
}
# end functions
while getopts "f:u:d:H:p:m:" flag
do
case $flag in
f) FILENAME=$OPTARG
;;
u) USERNAME=$OPTARG
;;
d) DATABASE=$OPTARG
;;
H) HOST=$OPTARG
;;
p) PORT=$OPTARG
;;
m) DATABASE_TYPE=$OPTARG
;;
\?|h) help_msg
;;
esac
done
if [ $USERNAME"x" == "x" ]
then
USERNAME=postgres
fi
if [ $DATABASE"x" == "x" ]
then
DATABASE=postgres
fi
if [ $HOST"x" == "x" ]
then
help_msg
fi
if [ $PORT"x" == "x" ]
then
PORT=5432
fi
if [ $DATABASE_TYPE"x" == "x" ]
then
DATABASE_TYPE=MASTER
fi
if [ $FILENAME"x" == "x" ]
then
FILENAME=/tmp/snapshot_pg_stat.log
fi
OUTPUT_FILENAME=/tmp/snapshot_pg_stat.csv
echo "" > $FILENAME
if [ ! -f $FILENAME ]
then
touch $FILENAME
else
printf "" | tee -a $FILENAME
fi
echo "脚本于时间 `date "+%Y-%m-%d %H:%M:%S"` 开始执行" >> $FILENAME
echo "脚本开始于`date "+%Y-%m-%d %H:%M:%S"` 处理pg_stat_all_indexes表" >> $FILENAME
$Psql -p $PORT -U $USERNAME -d $DATABASE -c "copy (select relid,idx_tup_fetch from pg_stat_all_indexes) to '$OUTPUT_FILENAME' with csv"
$Psql -p 5432 -U postgres -d postgres -h 192.168.174.11 -c "\copy db_stat.snapshot_pg_stat_all_indexes(relid,idx_tup_fetch) from '$OUTPUT_FILENAME' with csv"
echo "脚本开始于`date "+%Y-%m-%d %H:%M:%S"` 处理pg_stat_all_tables表" >> $FILENAME
$Psql -p $PORT -U $USERNAME -d $DATABASE -c "copy (select relid,autoanalyze_count from pg_stat_all_tables) to '$OUTPUT_FILENAME' with csv"
$Psql -p 5432 -U postgres -d postgres -h 192.168.174.11 -c "\copy db_stat.snapshot_pg_stat_all_tables(relid,autoanalyze_count) from '$OUTPUT_FILENAME' with csv"
echo "脚本开始于`date "+%Y-%m-%d %H:%M:%S"` 处理pg_statio_all_indexes表" >> $FILENAME
$Psql -p $PORT -U $USERNAME -d $DATABASE -c "copy (select relid,idx_blks_hit from pg_statio_all_indexes) to '$OUTPUT_FILENAME' with csv"
$Psql -p 5432 -U postgres -d postgres -h 192.168.174.11 -c "\copy db_stat.snapshot_pg_statio_all_indexes(relid,idx_blks_hit) from '$OUTPUT_FILENAME' with csv"
echo "脚本开始于`date "+%Y-%m-%d %H:%M:%S"` 处理pg_statio_all_tables表" >> $FILENAME
$Psql -p $PORT -U $USERNAME -d $DATABASE -c "copy (select relid,tidx_blks_hit from pg_statio_all_tables) to '$OUTPUT_FILENAME' with csv"
$Psql -p 5432 -U postgres -d postgres -h 192.168.174.11 -c "\copy db_stat.snapshot_pg_statio_all_tables(relid,tidx_blks_hit) from '$OUTPUT_FILENAME' with csv"
$Psql -p 5432 -U postgres -d postgres -h 192.168.174.11 -c "select db_stat.process_snapshot_table('$HOST',$PORT,'$DATABASE_TYPE','database stat snapshot');"
echo "############################################################################################" >> $FILENAME
echo "脚本于时间 `date "+%Y-%m-%d %H:%M:%S"` 结束执行" >> $FILENAME
--清空数据表
truncate table db_stat.snapshot_pg_stat_all_indexes ;
truncate table db_stat.snapshot_pg_stat_all_tables ;
truncate table db_stat.snapshot_pg_statio_all_indexes ;
truncate table db_stat.snapshot_pg_statio_all_tables ;
--手动执行shell脚本
./snap_stat.sh -d mydb -p 5432 -m SLAVE -u postgres -H 192.168.174.10
--定时任务,每天8点开始执行
8 8 * * * /db/pgsql/snap_stat.sh -d mydb -p 5435 -m SLAVE -u postgres -H 192.168.174.10
--查看使用比较少的索引
select *
from (
SELECT t.relname,t.indexrelname,max(idx_scan)-min(idx_scan) AS diff_idx_scan,max(idx_tup_read)-min(idx_tup_read) AS diff_idx_tup_read
FROM db_stat.snapshot_pg_stat_all_indexes t
--WHERE snap_create_time BETWEEN '2015-12-11' AND '2016-03-11'
GROUP BY t.relname,t.indexrelname) t1
order by diff_idx_scan,indexrelname ;
--查看索引使用率趋势图
select relname,snap_day,diff_idx_scan,case when sum(diff_idx_scan) over w1 >0 then diff_idx_scan*100/sum(diff_idx_scan) over w1 else 0 end as diff_idx_scan_percent,diff_idx_tup_read,case when sum(diff_idx_tup_read) over w1 >0 then diff_idx_tup_read*100/sum(diff_idx_tup_read) over w1 else 0 end as diff_idx_tup_read_percent
from (
SELECT t.relname,date_trunc('hour',snap_create_time) snap_day,t.idx_scan-lag(t.idx_scan,1) over w AS diff_idx_scan,t.idx_tup_read - lag(t.idx_tup_read,1) over w AS diff_idx_tup_read
from db_stat.snapshot_pg_stat_all_indexes t
--where indexrelname in ('','')
WINDOW w AS (PARTITION BY t.relname,t.indexrelname ORDER BY date_trunc('hour',t.snap_create_time))
) t1
where diff_idx_scan is not null
WINDOW w1 as (PARTITION BY t1.relname,t1.indexrelname)
order by relname,snap_day;
原文链接:https://www.f2er.com/postgresql/194668.html