kettle etl

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Linux boot Kettle and Linux and Windows kettle to HDFs write data (3)

Xshell run into the graphical interface in xmanager 1 sh spoon. SHCreate a new job1. write data into HDFs 1) kettle writes data to HDFs in LinuxDouble-click hadoop copy FilesRun this jobView data:1) kettle Write Data to HDFs in WindowsHDFs writes data to the power server in WindowsLog:2016/07/28 16:21:14-version CHECKER-OK2016/07/28 16:21:57-Data integration tools-job designer-data integration tools

Kettle Connecting Oracle Error--kettle Learning

Tags: kettleHardware and Software Environment:kettle6.1/oracle11gr2/windows7/redhatlinux time : 2016/7/28Problem Description : when Kettle first connected to the native Oracle , always error, "Make sure to install the jar package", I changed a remote linux_oracle, Or are you suggesting the same problem?650) this.width=650; "Src=" Http://s2.51cto.com/wyfs02/M01/85/AD/wKiom1esF02i60DjAAKISftGUP4716.jpg-wh_500x0-wm_3 -wmp_4-s_3796561354.jpg "title=" Figu

ETL Pentaho Code Learning Notes

multiple) under Properties: Locale (Specify the country language code, such as: EN_US,ZH_CN Value: the corresponding text (5) Localized_tooltip/tooltip (plugin hint text, can be multiple) under Properties: Locale (Specify the country language code, such as: EN_US,ZH_CN Value: the corresponding text C. Second way: Scan All of the jar packages in these three directories have type-corresponding declared classes (this method needs to be done through the definition file) type of interface

Kettle 5.x User Guide

Tags: ETL kettle pentaho hbase 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. Kettle is named a pot in Chinese. The project's main programmer

Kettle memory overflow

The ETL Tool kettle, after the design of the old version, encountered a memory overflow error when using the new version: javaheap or OutOfMemory, which is insufficient memory allocated by kettle. Open Spoon in the text editor in the kettle running path. bat, find: REM *************************************** ****** The

Kettle multi-thread Conversion

Kettle conversion is usually the most important consideration for the performance of multi-thread ETL projects. In particular, the tasks discussed are frequently executed, or some columns of tasks must be executed within a fixed period of time. This article focuses on using the multi-thread feature of kettle conversion to optimize its performance. Assume that eac

Kettle learning Summary (1)

Recently, due to the needs of the project, kettle was initially involved. Now I will sort out my experiences on using kettle to develop a job over the past two weeks and share it with you. I. What is kettle? Kettle is an ETL tool that is mainly used to manage data fro

Kettle Introduction (iv) the use of arbitrary time variables in the kettle of a detailed case

Citation:In the Data Warehouse project, there is a kind of interface called FTP file interface that interacts with production or periphery system, when developing and implementing this kind of interface configuration script with kettle, it is often necessary to use time variable to fetch or upload the text of fixed format file name in FTP, such as the data text that the production system pushes the day before yesterday. To an FTP server2014-04-28 Push

Kettle Series -5.kettle for binary file migration

This article is an example of the conversion of the next binary file (image, TXT file, and so on) between Oracle and file system transfer.Conversion examples are:The example itself is simpler, but a lot of people should still not very clear how to do, many times is the Internet search, the Internet is about through JavaScript script storage, the overall experience is not very good, this is the example I share with the data of the friend to discuss the slow out, File pictures in Windows can be sw

Kettle Introduction (vii) Kettle increment scheme (i) full-scale ratio-based on unique indicators

time variable. ADD2 entities open to the left side of the drawing circle, condition Flagfield = Add_rec, if set up and send data to the middle circle of the add entity, if not, send the data to the Mod_del entity (Rectangle red box) Assuming true data to the add entity, open is the right part By filling in the data fields that need to be inserted into the Insert entity, you can update the input source to the target table with more new data than the target source and timestamp.5 Modifying or del

Experience summary of ETL

ETL ConsiderationsAs a data warehouse system, ETL is the key link. Said Big, ETL is a data integration solution, said small, is to pour data tools. Recall the work over the years, the processing of data migration, conversion is really a lot of work. But those jobs are basically a one-time job or a small amount of data, using Access, DTS, or making a small program

ETL Tools Daquan, you know how much

These years, almost all work with ETL, have been exposed to a variety of ETL tools. These tools are now organized to share with you. An ETL Tool Foreign 1. DataStage Reviews: The most professional ETL tools, expensive, the use of the general difficulty Download Address: Ftp://ftp.seu.edu.cn/Pub/Develop ... tastag

Kettle parameters and variables

Tags: ETL kettle variable parameters Kettle parameters and variables In versions earlier than kettle 3.2, only variable and argument are available. Kettle 3.2 introduces the parameter concept. variable is environment variables (environment or global variable ), even diff

Kettle calls java class

Java classes called in kettle sometimes need to be called in kettle, such as verification, query, or custom encryption. Sometimes even basic data access is not that simple. For example, to obtain a storage file or use a database connection, some data sources may be encapsulated in applications, using a custom java client is the only method. This article introduces Java classes called in

The concept of ETL learning notes

Introduction: Etl,extraction-transformation-loading's abbreviation, the process of data extraction (Extract), Transformation (Transform), loading (load), is an important part of building a data warehouse.Keywords: ETL Data Warehouse OLTP OLAPThe etl,extraction-transformation-loading abbreviation, the process of data extraction (Extract), Transformation (Transform

Check for empty rows in the kettle data stream

Check whether the empty line ETL processing in kettle data streams sometimes requires data generation but no data input. This may cause some problems. Therefore, the ETL data stream is usually required to generate a blank line of data; sometimes some clustering functions are required for processing, which means that when no data is input, the generated value is 0

Kettle How the background process performs configuration

Original link1, Introduction kettle kitchen and spanThe first two articles mainly about the transformation of the kettle Spoon and the GUI design of the operation and the operation, also give the demo, then in fact, our application mode may require the server to run as a background process of the ETL task, Just as we traditionally use Windows services to process

Using Java source code to generate kettle 4.4

Kettle as an ETL tool. Its function is increasingly intact, has been the vast number of data mining enthusiasts favor. And because he is a Java open source project. To meet the needs of the project. It is necessary to study its source code, preferably integrated into a Java project. Used as an important part of the project execution process. So. Let's start with the ket

Using kettle to connect dynamic sub-Libraries

I. Questions raised In a data warehouse application, create a new MySQL database every day, named after the day, such as d_p20161201, d_p20161202, and use kettle to connect these databases to do data cleaning and ETL work. Because the database is dynamically generated by the script every day, kettle how to connect to the dynamic library. Ii. Solutions 1. Establ

Implement data verification and check in kettle

Implement data verification and check in kettle In ETL projects, input data usually cannot be consistent. There are some steps in kettle for data verification or check. The verification steps can verify the licensed fields based on some calculations; the filtering steps implement data filtering; and The javascript steps implement more complex calculations. Gene

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