sqoop etl

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Open source Job scheduling tool to realize open-source datax, Sqoop, Kettle and other ETL tools job batch Automation scheduling

1, Ali Open source software: datax Datax is a heterogeneous data source offline Synchronization tool that is dedicated to achieving stable and efficient data synchronization between heterogeneous data sources including relational databases (MySQL, Oracle, etc.), HDFS, Hive, ODPS, HBase, FTP, and more. (Excerpt from Wikipedia) 2. Apache Open source software: Sqoop Sqoop (pronunciation: skup) is an open sourc

Sqoop operations-ETL small case

Method Analyze and process in hive, export the results to HDFS, and then use sqoop to import HDFS results to the database.1) extraction: Oracle Data is extracted to hive. See the previous two steps.2) Conversion: insert the query result to the hive table INSERT OVERWRITE TABLE result_etl select a.empno, a.ename, a.comm, b.dname FROM emp_etl a join dept_etl b on (a.deptno = b.deptno); 3) Conversion: import data to the HDFS File System INSERT OVERWRITE

Introduction to ETL technology: Introduction to ETL, data warehouse, and etl Data Warehouse

Introduction to ETL technology: Introduction to ETL, data warehouse, and etl Data WarehouseETL is the abbreviation of Extract-Transform-Load. It is used to describe the process of extracting, transforming, and loading data from the source to the target. ETL is commonly used in data warehouses, but its objects are not l

Apache Sqoop-overview Apache Sqoop Overview

Using Hadoop to analyze and process data requires loading the data into a cluster and combining it with other data in the enterprise production database. It is a challenge to load large chunks of data from production systems into Hadoop or to get data from map reduce applications in large clusters. Users must be aware of the details of ensuring data consistency, consuming production system resources, and supplying downstream pipeline data preprocessing. Using a script to transform data is ineffi

ETL introduction ETL

ETL TL, short for extraction-transformation-loading. The Chinese name is data extraction, conversion, and loading. ETL tools include: owb (Oracle warehouse builder), Odi (Oracle data integrator), informatic powercenter, aicloudetl, datastage, repository explorer, beeload, kettle, dataspider ETL extracts data from distributed and heterogeneous data sources, suc

ETL Learning Experience: Exploring the essence of ETL in Key Data Warehouses

As a data warehouse system, ETL is a key link. If it is big, ETL is a data integration solution. If it is small, it is a tool for data dumping. Recall that there have been a lot of data migration and transformation operations over the past few years. However, the work is basically a one-time job or a small amount of data. You can use access, DTS, or compile a small program on your own. However, in the data

Etl tool, kettle implementation loop, etl Tool kettle implementation

Etl tool, kettle implementation loop, etl Tool kettle implementation Kettle is an open-source ETL Tool written in java. It can be run on Windows, Linux, and Unix. It does not need to be installed green, and data extraction is efficient and stable. Business Model: there is a large data storage table in the relational database, which is designed as a parity datab

ETL scheduling development (1) -- writing instructions, etl Scheduling

ETL scheduling development (1) -- writing instructions, etl Scheduling Preface: During database operation and maintenance, files are often transferred between systems to perform operations such as data extraction, conversion, and integration. In addition, statistical scheduling is performed after data integration. Here, I will describe an ETL scheduling developed

The practice of data Warehouse based on Hadoop ecosystem--etl (i)

that changes the one-way append data over time. The Sales_order table has two fields about time, order_date represents the order time, Entry_date represents the time the order data is actually inserted in the tables, and when you discuss "late facts" later, you see that two times may be different. Which field will be used as the CDC timestamp? Imagine such a scenario, the order time of a sales order is January 1, 2015, the actual insert Table time is January 2, 2015,

ETL scheduling development (5) -- connect to the database to execute database command subroutines and etl Scheduling

ETL scheduling development (5) -- connect to the database to execute database command subroutines and etl Scheduling In ETL scheduling, you need to connect to the database to read and write data. The following subprograms use the input database connection string and database commands (or SQL) to perform the required operations: #!/usr/bin/bash#created by lubinsu

Sqoop command, MySQL import to HDFs, HBase, Hive

zookeeper, which runs on top of a computer cluster for managing Hadoop operations.6. HIVE (Data Warehouse)Open source from Facebook, originally used to solve the massive structural log data statistics problem.Hive defines a SQL-like query Language (HQL) that translates SQL into a mapreduce task executed on Hadoop. Typically used for offline analysis.HQL is used to run query statements stored on Hadoop, and Hive lets unfamiliar mapreduce developers write data query statements, which are then tra

Hive Video _hive Detailed and practical (hive Environment deployment +zeus+sqoop sqoop+ User Behavior analysis case)

Tags: hive videoHive detailed and practical (hive Environment deployment +zeus+sqoop sqoop+ User Behavior analysis case)Course Study Address: http://www.xuetuwuyou.com/course/187The course out of self-study, worry-free network: http://www.xuetuwuyou.comCourse Description:This course introduces basic hive architecture and environment deployment, and leads you to understand the advantages of data Warehouse hi

ETL Learning Series 1--etl Tool installation

ETL (extract-transform-load abbreviation, that is, data extraction, transformation, loading process), for enterprise or industry applications, we often encounter a variety of data processing, conversion, migration, so understand and master the use of an ETL tool, essential, Here I introduce a I used in the work of 3 years of ETL tools kettle, the spirit of good t

The practice of data Warehouse based on Hadoop ecosystem--etl (iii)

Sqoop, which requires the Sqoop metadata shared storage to be turned on as follows:Sqoop metastore >/tmp/sqoop_metastore.log 2>1 For questions about Oozie not running Sqoop job, refer to the following link: http://www.lamborryan.com/oozie-sqoop-fail/(4) Connecting Metastore rebuilding

ETL Tool kettle Practical Application Analysis Series 3 [ETL background process execution configuration method]

The main indexes of this series of articles are as follows: I. ETL Tool kettle Application Analysis Series I [Kettle Introduction] Ii. ETL Tool kettle Practical Application Analysis Series 2 [application scenarios and demo downloads] Iii. ETL Tool kettle Practical Application Analysis Series III [ETL background process

Installing the sqoop-1.4.3-cdh4.5.0 encountered an exception that could not find the Sqoop class

Exception: Exception in thread "main" java. lang. NoClassDefFoundError: org/apache/sqoop/Sqoop Caused by: java. lang. ClassNotFoundException: org. apache. sqoop. SqoopAt java.net. URLClassLoader $ 1.run( URLClassLoader. java: 202)At java. security. AccessController. doPrivileged (Native Method)At java.net. URLClassLoader. findClass (URLClassLoader. java: 190)At j

[Sqoop] using Sqoop to perform DML operations on MySQL

Business BackgroundUse Sqoop to query, add and delete MySQL.Business ImplementationSelect operation:sqoop eval --connect jdbc:mysql:// --username admin --password 123456 --query "select end_user_id, category_id, score, last_bought_date, days_left, update_time The results of the implementation are as follows:[[email protected]/home/pms/workspace/ouyangyewei/data] $sqoop eval >--connect j

One of the ETL learning notes: What is the ETL?

For the Data warehouse and ETL knowledge, I am basically a layman. Everything has to start from scratch, take a note, to facilitate the understanding of learning progress.First, let's take a look at the basic definition:Well, some people also called the ETL simple data extraction. At least before the study, the leader told me that you need to do a data extraction tool.In fact, extraction is the key part of

ETL is a function of three independent data centers linked by a simple programming tool. What does ETL mean?

During database management, extraction, conversion, and loading (ETL, extract, transform, and load) are three independent functions that constitute a simple editing task. First, read the data in the specified source database and extract the required sub-dataset. Then, the conversion function uses rules or drop-down lists to process the acquired data or create connections with other data, so that it can be converted to the desired state. Finally, we us

Reprinted ETL architect interview questions

Reprinted ETL architect interview questions 1. What is a logical data mapping and what does it mean to the ETL team? What is Logical Data ing? What role does it play on the ETL project team? A: Logical Data Map) describes the data definition of the source system, the model of the target data warehouse, and instructions on operations and processing methods to conv

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