hive load data from hdfs

Because a lot of data is on the Hadoop platform, when migrating data from the hadoop platform to the hive directory, the default delimiter of hive is \, In order to smooth migration, you must specify the data delimiter when creating a table. The syntax is as follows: Create

. rownum = 1; analysis, long table sorting method 2 (left outer join + union all): Note: hive does not support union all at the top level, and the union all result must have an alias insert overwrite table limao _ Store select t. p_key, t. sort_word from (select s. p_key, s. sort_word from limao_store s left outer join limao_increi on (s. p_key = I. p_key) where I. p_key = null union all select p_key, sort_word from limao_incres); analysis: the Associ

index column in the HDFs file.The principle is to obtain data accurately by recording the offset of the index column in HDFs, avoiding full-table scanning Hive Table Update and delete data (the table must have transaction properties enabled to support Update and

' string, ' drug_id ' string, ' Dr Ug_name ' string, ' antibiotic ' string, ' hormone ' string, ' source ' string, ' Base_drug ' string, ' Community ' string, ' Date ' string) ROW FORMAT delimited fields TERMINATED by '|'STORED asInputFormat'Org.apache.hadoop.mapred.TextInputFormat'OutputFormat'Org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat' Location'Hdfs://h1:8020/apps/hive/warehouse/cyw.db/user_activity2'Tblproperties ('Transient_las

the counter information of the kill map task, as follows: It turns out that a single map task reads 10 Gb of data from HDFS. No, it's hard to say that the data files to be processed are not sharded. A single map task processes a single large file, with such speculation, I checked the files under the two table directories in hql. The following are all files in

Partitioning the data will greatly improve the efficiency of data query, especially the use of big data in the present, is an indispensable knowledge. So how does the data create partitions? How does the data load into the partiti

taken:0.024Seconds, fetched: -Row (s)You can see that the table is not partitioned, but it is partitioned on HDFs:Hive (Solar) > DFS-lsHdfs://F04/sqoop/open/third_party_user> ; Found4Items-rw-r--r--3Maintain supergroup0 .- A- - to:xxHdfs://f04/sqoop/open/third_party_user/_successDrwxr-xr-x-Maintain supergroup0 .- A- - One: theHdfs://f04/sqoop/open/third_party_user/dt=2016-12-12-rw-r--r--3Maintain supergroup194 .- A- - to:xxHdfs://f04/sqoop/open/third_party_user/part-m-00000-rw-r--r--3Main

Tags: Data import description process Hal host ONS pac mysq python scriptTurn: 53064123Using Python to import data from the MySQL database into hive, the process is to manipulate sqoop in Python language.#!/usr/bin/env python#Coding:utf-8# --------------------------------#Created by Coco on 16/2/23# ---------------------------------#Comment: Main function Descri

Tags: des style blog http color java using OSThe following error occurred during the use of the Command Guide dataSqoop Import--hive-import--connect jdbc:oracle:thin:@192.168.29.16:1521/testdb--username NAME-- Passord PASS--verbose-m 1--table t_userinfo Error 1: File does not Exist:hdfs://opt/sqoop-1.4.4/lib/commons-io-1.4.jarFilenotfoundexception:file does not EXIST:HDFS://Opt/sqoop-1.4.4/lib/commons-io-1.4.jar ... ... At Org.apache ...Ca

Tags: res int lis Address Char class nbsp HDFs--First, the data of a MySQL table is imported into HDFs using Sqoop1.1, first in MySQL to prepare a test table Mysql> descUser_info;+-----------+-------------+------+-----+---------+-------+ |Field|Type| Null | Key | Default |Extra| +-----------+-------------+------+-----+---------+-------+ |Id| int( One)|YES| |

Transferred from: http://www.cnblogs.com/ggjucheng/archive/2013/01/03/2842860.htmlIn the process of optimizing the shuffle stage, the problem of data skew is encountered, which results in the less obvious optimization effect in some cases. The main reason is that after job completion the resulting counters is the sum of the entire job, the optimization is based on the average of these counters, and because of the