hive big data

Original link: http://lxw1234.com/archives/2015/12/585.htm Keywords: hive, elasticsearch, integration, consolidation Elasticsearch can already be used with big data technology frameworks like yarn, Hadoop, Hive, Pig, Spark, Flume, and more, especially when adding data, usin

The ability of data manipulation is the key to large data analysis. Data operations mainly include: Change (Exchange), move (moving), sort (sorting), transform (transforming). Hive provides a variety of query statements, keywords, operations, and methods for data manipulatio

One, several ways of hive data import Start by listing the data and hive tables that describe the following ways of importing. Hive table: Create Testa: CREATE TABLE Testa ( ID INT, name string, area string ) partitioned by (Create_time string) ROW FORMAT DEL imited FIE

Solution to the problem when the date type is poured into hive when the Oracle database is present1. Description of the problem:Using Sqoop to pour the Oracle data table into hive, the date data in Oracle will be truncated in seconds, leaving only ' yyyy-mm-dd ' instead of ' yyyy-mm-dd HH24:mi:ss ' format, followed by

Several data import methods of hiveToday's topic is a summary of several common data import methods for hive, which I summarize in four ways:(1), import data from the local file system to the hive table;(2), import data from HDFs

Tags: uid https popular speed man concurrency test ROC mapred NoteTransfer from infoq! According to the O ' Reilly 2016 Data Science Payroll survey, SQL is the most widely used language in the field of data science. Most projects require some SQL operations, and even some require only SQL. This article covers 6 open source leaders: Hive, Impala, Spark SQL, Drill

Project report system using open source Mondrian and Saiku as a tool to achieve, and now I have to be familiar with the OLAP this piece of things, the first thing to face is Mondrian this mountain, Listen to their previous developer said Mondrian inside there will be a lot of pits, especially performance problems, in the previous test process himself also encountered some problems, but at that time did not how to record a two months to almost forget how to solve. But at that time for Mondrian

Depending on where they are exported, these methods are divided into three types: (1), export to the local file system; (2), export to HDFs; (3), export to another table in hive. In order to avoid the simple text, I will use the command to explain step-by-step. first, export to the local file system 　　 hive> Insert overwrite local directory '/HOME/WYP/WYP ' > select * from WYP; Copy Code This hql

Export data from hive to MySQLHttp://abloz.com2012.7.20Author: Zhou HaihanIn the previous article, "Data interoperability between MySQL and HDFs systems using Sqoop", it was mentioned that Sqoop can interoperate data between RDBMS and HDFs, and also support importing from MySQL to hbase, but importing MySQL directly fr

Label:Sqoop is an open source tool that is used primarily in Hadoop (Hive) and traditional databases (MySQL, PostgreSQL ...) Data can be transferred from one relational database (such as MySQL, Oracle, Postgres, etc.) to the HDFs in Hadoop, or the data in HDFs can be directed into a relational database.1. Issue background Use Sqoop to put a table in the Oracle da

Import incremental data from the basic business table in Oracle to Hive and merge it with the current full table into the latest full table. Import Oracle tables to Hive through Sqoop to simulate full scale and Import incremental data from the basic business table in Oracle to Hive