制作静态网站制作,做房地产用什么网站好,洛阳专业做网站公司,什么是整合营销并举例说明hive 慢sql 查询 查找 hive 执行日志存储路径#xff08;一般是 hive-audit.log #xff09; 比如#xff1a;/var/log/Bigdata/audit/hive/hiveserver/hive-audit.log 解析日志 获取 执行时间 执行 OperationId 执行人 UserNameroot 执行sql 数据分隔符为 \001 并写入 hiv…hive 慢sql 查询 查找 hive 执行日志存储路径一般是 hive-audit.log 比如/var/log/Bigdata/audit/hive/hiveserver/hive-audit.log 解析日志 获取 执行时间 执行 OperationId 执行人 UserNameroot 执行sql 数据分隔符为 \001 并写入 hivesql.txt tail -1000f /var/log/Bigdata/audit/hive/hiveserver/hive-audit.log |grep OperationId |awk -F| {print $1,$4} |awk -F \t -v OFS\001 {print $1,$2,$6} /home/yx_test/hiveSql/hivesql.txt解析结果如下
2024-04-03 08:37:57,851 OperationIde0c496d6-6979-4e44-a9a3-1ec3ac2a6767UserNamerootstmt{sql语句}上传相关解析日志到hive hadoop fs -put /home/yx_test/hiveSql/hivesql*.txt hive/warehouse/yx_test/ods_format_datas1/tbhivesql/
1.刷新hive元数据
MSCK REPAIR TABLE yx_test.ods_format_datas1
2.然后再次解析日志 获取 执行id 执行结束时间 执行开始时间 执行时长 执行人 写入表 执行sql语句SELECT k2.id,max_ds,min_ds,df_ds,username,insert_tb,sql from (
SELECT id,max_ds,min_ds,df_ds from (
SELECT id -- 执行id,max(substr(ds,1,19)) max_ds -- 执行结束时间,min(substr(ds,1,19)) min_ds -- 执行开始时间
, unix_timestamp(max(substr(ds,1,19)))-unix_timestamp(min(substr(ds,1,19))) df_ds -- 执行时长
from (
SELECT split(c1, OperationId)[0] ds ,split(c1, OperationId)[1] id from yx_test. ods_format_datas1
where tbhivesql
-- and c2 like %insert%
)k group by id
)k1
where df_ds600 -- 获取执行时长超过 10分钟的sql信息
order by df_ds
)k2
inner join
-- 通过执行 id 匹配出 执行的详细sql 以及写入 表
(SELECT
id,username
,trim(substr(substr(lower(c3),beg,ends-beg),1, if(instr(substr(lower(c3),beg,ends-beg), partition)!0,instr(substr(lower(c3),beg,ends-beg), partition),1000))) insert_tb -- 写入表
,lower(c3) sql from (
SELECT
split(c1, OperationId)[1] id -- 执行id
,c2 username -- 执行角色
,c3 -- 执行的sql语句
--提取写入表前后位置
,if(instr(lower(c3),table)0,instr(lower(c3),into)length(into),instr(lower(c3),table)length(table)) beg
,instr(lower(c3), select) ends
from yx_test.ods_format_datas1
where tbhivesql and c3 like %insert% -- 只获取 包含 insert 的日志
)k
)k3 on k2.idk3.id
ORDER BY df_ds desc
;
3. 通过写入表 查看 涉及到的具体库
SELECT * from (
SELECT k.DB_ID,k.NAME,k1.TBL_NAME from (
SELECT DB_ID,NAME FROM dbs
)k
left join
(SELECT DB_ID,TBL_NAME from tbls
)k1 on k.DB_IDk1.DB_ID
)k2 WHERE TBL_NAME in (dws_koi_role_details_day) 效果如图
部署脚本
-- 日志采集
ssh omm192.168.0.183 bash -s EOF
source /opt/Bigdata/client/bigdata_env
touch /home/yangxiong/hiveSql/hivesql2.txt
hadoop fs -put /home/yangxiong/hiveSql/hivesql*.txt obs://youkia-koi/hive/warehouse/yx_test/ods_format_datas1/tbhivesql/
echo /home/yangxiong/hiveSql/hivesql*.txt
ps -ef |grep tail -1000f /var/log/Bigdata/audit/hive/hiveserver/hive-audit.log |awk {print $2}|xargs kill -9
nohup tail -1000f /var/log/Bigdata/audit/hive/hiveserver/hive-audit.log |grep OperationId |awk -F| {print $1,$4} |awk -F \t -v OFS\001 {print $1,$2,$6} /home/yangxiong/hiveSql/hivesql2.txt 21
exit
# 这里可以添加更多的命令
EOF-- 日志解析
insert overwrite table sgz_game_common.hive_timeout_sql
SELECT k2.id sql_id,min_ds begint_ds,max_ds end_ds,df_ds sustain_ds ,username,insert_tb,sql,${hiveconf:ds} ds from (
SELECT id,max_ds,min_ds,df_ds from (
SELECT id,max(substr(ds,1,19)) max_ds,min(substr(ds,1,19)) min_ds
, unix_timestamp(max(substr(ds,1,19)))-unix_timestamp(min(substr(ds,1,19))) df_ds
from (
SELECT split(c1, OperationId)[0] ds ,split(c1, OperationId)[1] id from yx_test.ods_format_datas1
where tbhivesql
-- and c2 like %insert%
)k group by id
)k1
where df_ds1800
order by df_ds
)k2
inner join
(
SELECT
id,username
,trim(substr(substr(lower(c3),beg,ends-beg),1, if(instr(substr(lower(c3),beg,ends-beg), partition)!0,instr(substr(lower(c3),beg,ends-beg), partition),1000))) insert_tb
,lower(c3) sql from (
SELECT split(c1, OperationId)[1] id,c2 username,c3
,if(instr(lower(c3),table)0,instr(lower(c3),into)length(into),instr(lower(c3),table)length(table)) beg
,instr(lower(c3), select) ends
from yx_test.ods_format_datas1
where tbhivesql and c3 like %insert%
)k
)k3 on k2.idk3.id
-- ORDER BY df_ds desc
UNION all
SELECT sql_id,begint_ds,end_ds,sustain_ds,username,insert_tb,sql,ds from (
SELECT sql_id,begint_ds,end_ds,sustain_ds,username,insert_tb,sql,ds
,row_number() OVER (PARTITION by 11 ORDER BY ds desc) rk
from sgz_game_common.hive_timeout_sql
WHERE ds!{hiveconf:ds}
)k where rk30;
