hive 小文件分析

1、获取fsimage文件:

hdfs dfsadmin -fetchImage /data/xy/

2、从二进制文件解析:

hdfs oiv -i /data/xy/fsimage_0000000019891608958 -t /data/xy/tmpdir -o /data/xy/out -p Delimited -delimiter ","

3、创建hive表

create database if not exists hdfsinfo;

use hdfsinfo;

CREATE TABLE fsimage_info_csv(

path string,

replication int,

modificationtime string,

accesstime string,

preferredblocksize bigint,

blockscount int,

filesize bigint,

nsquota string,

dsquota string,

permission string,

username string,

groupname string)

ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'

WITH SERDEPROPERTIES ('field.delim'=',', 'serialization.format'=',')

STORED AS INPUTFORMAT 'org.apache.hadoop.mapred.TextInputFormat';

4、存储HDFS元数据加载进hive中

hdfs dfs -put /data/xy/out /user/hive/warehouse/hdfsinfo.db/fsimage_info_csv/

hdfs dfs -ls /user/hive/warehouse/hdfsinfo.db/fsimage_info_csv/

Hive: MSCK REPAIR TABLE hdfsinfo.fsimage_info_csv;

select * from hdfsinfo.fsimage_info_csv limit 5;

5、统计叶子目录下小文件数据量(4194304 H字节,即<4M)

SELECT

dir_path ,

COUNT(*) AS small_file_num,

modificationtime,

accesstime

FROM

( SELECT

modificationtime,

accesstime,

relative_size,

dir_path

FROM

(

SELECT

(CASE filesize < 4194304 WHEN TRUE THEN 'small' ELSE 'large' END) AS relative_size,

modificationtime,

accesstime,

split(

substr(

concat_ws('/', split(PATH, '/')),

1,

length(concat_ws('/', split(PATH, '/'))) - length(last_element) - 1

),

',')0 as dir_path

FROM (

SELECT

modificationtime,

accesstime,

filesize,

PATH,

split(PATH, '/')size(split(PATH, '/')) - 1 as last_element

FROM hdfsinfo.fsimage_info_csv

) t0 ) t1

WHERE

relative_size='small') t2

GROUP BY

dir_path,modificationtime,accesstime

ORDER BY

small_file_num desc

limit 500;

5、统计叶子目录下小文件数据量(4194304 H字节,即<4M)

SELECT

dir_path,

COUNT(*) AS small_file_num

FROM

( SELECT

relative_size,

dir_path

FROM

(

SELECT

(CASE filesize < 41943040 WHEN TRUE THEN 'small' ELSE 'large' END) AS relative_size,

split(

substr(

concat_ws('/', split(PATH, '/')),

1,

length(concat_ws('/', split(PATH, '/'))) - length(last_element) - 1

),

',')0 as dir_path

FROM (

SELECT

filesize,

PATH,

split(PATH, '/')size(split(PATH, '/')) - 1 as last_element

FROM hdfsinfo.fsimage_info_csv

WHERE

permission not LIKE 'd%'

) t0 ) t1

WHERE

relative_size='small') t2

GROUP BY

dir_path

ORDER BY

small_file_num desc

limit 50000;

相关推荐
欢迎来到祖安!5 小时前
企业微信 API 接口能力介绍:支持消息收发、图片发送、表情互动、联系人管理等多场景应用
java·前端·数据仓库·spring cloud·企业微信
磁场转动100万匹1 天前
大数据入门:Hadoop 与 MapReduce 学习路线
大数据·hadoop·mapreduce
崖边看雾1 天前
Hadoop —— HDFS 写数据流程
大数据·hadoop·hdfs
陈年老古董1 天前
Python模拟MapReduce分治思想 | 从单文件统计到大文件拆分聚合 学习笔记
开发语言·hadoop·笔记·python·学习
崖边看雾1 天前
Hadoop —— HDFS 读流程
大数据·hadoop·hdfs
磁场转动100万匹1 天前
HDFS 与 MapReduce 核心原理详解
hadoop·hdfs·mapreduce
RestCloud1 天前
飞书多维表格落地新思路:ETL做数据导入,豆包做业务智能分析
数据仓库·飞书·etl·数据传输·api对接·豆包
BYSJMG2 天前
计算机毕设选题推荐:基于大数据的公共交通运营数据分析与可视化,Spark+K-Means聚类城市运营模式
大数据·hadoop·信息可视化·数据分析·spark·kmeans·课程设计
Gl�ria2 天前
Hadoop MapReduce/Hive 数据倾斜完整排查
hive·hadoop·mapreduce
AgentMaster2 天前
元数据、血缘、质量、安全四大模块能力拆解,数据治理方案对比:4 种技术路线深度评测
大数据·数据库·数据仓库·人工智能·原型模式