odi etl

Label: Use strong data on time database to Apply Oracle technology Incremental extraction incremental extraction only extracts new or modified data from the table to be extracted from the database since the last extraction. During ETL usage. Incremental extraction is more widely used than full extraction. How to capture changed data is the key to incremental extraction. There are generally two requirements for the capture method: accuracy, which can

Label:Reprinted from: http://www.cnblogs.com/ycdx2001/p/4538750.html -------------- In the leader said the urine is not wet and the beer story, here see the original text. (1) db/database/Database --This refers to the OLTP database, the online things database, to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the previous day of the

Label: DB-ETL-DW-OLAP-DM-BI Relationship Structure diagram Here are a few words about some of their concepts: (1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the previous day of the state, will not appea

Label:DB, ETL, DW, OLAP, DM, BI relationship structure diagram Here are a few words about some of their concepts: (1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the previous day of the state, will not

ETL Tool Pentaho Kettle's transformation and job integration 1. Kettle 1.1. Introduction Kettle is an open-source etl Tool written in pure java. It extracts data efficiently and stably (data migration tool ). Kettle has two types of script files: transformation and job. transformation completes basic data conversion, and job controls the entire workflow.2. Integrated Development 2.1. transformation implemen

function.Under the job of the start module, there is a timer function, can be daily, weekly, and other ways of timing, for the periodic ETL, very helpful. A. When you log on using the resource pool (repository), the default username and password is admin/admin. B. When a job is stored in a resource pool (a common repository uses a database), the following command line is used when you use Kitchen.bat to perform a job:Kitchen.bat/rep kettle/user admin

ETL scheduling to read and write data information, you need to connect to the database, the following sub-program through the incoming database connection string and Database command (or SQL) to run the required operations:#!/usr/bin/bash#created by Lubinsu#2014source ~/.bash_profilevalues= ' sqlplus-s The parameters of the parameter are: Database connection string, Database command (or SQL statement)ETL Sc

One: Code section1. Create a new MAVEN project2. Add the required Java code3. Writing Mapper Class4. Writing Runner classTwo: Operation mode1. Run locally2.3.Three: local operation mode1. Unzip Hadoop to a local　　2. Modify the configuration file Hadoop_home　　3. Unzip the common package　　4. Copy the contents of the compressed package to the bin　　5. PrerequisitesThe site file for core and hbase must exist in resource　　6. Uploading dataNew Catalog/eventlogs/2015/12/20Upload to Linux　　Uploading to H

Just finished a project to contact the ETL interface, while still warm to do a summary.ETL Interface Functional Test Point summary:1, the data volume check: The target table and the source table data volume is consistent2, the field is correct: pull the source table field is required fields (there will be a typo paragraph case)3, the field value conversion correctness: If the date or numeric field is pulled to the target table if the conversion needs

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 DIRECTORY ‘RESULT_ETL_HIVE‘ SELECT * from re

Use Oracle Database 10 GInternal ETL infrastructure Http://www.oracle.com/technology/global/cn/obe/10gr2_db_single/bidw/etl2/etl2_otn.htm -- Some basic concepts and types of CDC are introduced in Change Data Capture (1. This article mainly demonstrates the basic steps of implementing the synchronization mode CDC through a practical example. -- Create table Create table SALES ( ID NUMBER, Productid number, PRICE NUMBER, QUANTITY NUMBER

....); 2. Kettle jobs and conversions are continuously visible by default, regardless of whether they are finished or not. However, the jobs that are executed continuously and regularly become full after running for a period of time. This effect is especially uncomfortable, and the persistence of such logs will also lead to JVM oom. However, some parameters are configured: Then, it is found that the port cannot be released after the cluster runs the job. So again, we can o

perform the reset flag = 0 Code contained in script task: DTS. variables ["User: srcfilefullname"]. value = DTs. variables ["User: srcfilepath"]. value. tostring () + "\" + DTs. variables ["User: foreachloopfile"]. value. tostring ();DTS. variables ["User: failedfilename"]. value = DTs. variables ["User: arcfilepath"]. value. tostring () + "\ catarget \ failed \" + datetime. now. tostring ("yyyymmddhhmmss") + "_" + DTs. variables ["User: foreachloopfile"]. value. tostring ();DTS. va

Tags: sha feature ima Oracle ROCE-O technology share OSS settingsThe value mapping here is a bit like the Oracle's CAS when feature, such as a field a value of 1, but I now want to make the a=1 of a male, that is, 1 mapping into a male, this is the value mapping, then how to operate, in fact, Kettle has a "value mapping" component The following is a brief introduction to how to use;First enter the value mapping in the search box to the left of the program, find the value mapping component, and t

"Table Type" and "file or directory" two rows Figure 3: When you click Add, the table of contents will appear in the "Selected files" Figure 4: My data is in Sheet1, so Sheet1 is selected into the list Figure 5: Open the Fields tab, click "Get fields from header data", and note the correctness of the Time field format 3. Set "table output" related parameters1), double-click the "a" workspace (I'll "convert 1" to save the "table output" icon in "a") to open the Settings window. Figure 6:

Believe that in the process of ETL inevitable practical union all to assemble the data, then this involves whether the problem of parallel processing.Whether a parallel map is applicable in hive can be set by parameters:set hive.exec.parallel=trueThen it is useful for the data of the previous blog, Link: http://www.cnblogs.com/liqiu/p/4873238.htmlIf we need some data:Select from (Selectfrom where create_time="2015-10-10"9718 Select as from where 97

ETL scheduling Read and write data information, all need to connect to the database, the following sub-program through the incoming database connection string and Database command (or SQL) to perform the required actions:#!/usr/bin/bash#created by Lubinsu#2014source ~/.bash_profilevalues= ' sqlplus-s Parameters are: Database connection string, Database command (or SQL statement)

dynamicpartitionsallowedtobecreatedineachmapper/reducer nodehive.exec.max.dynamic.partitions=1000 maximumnumberofdynamicpartitionsallowedtobecreated intotalhive.exec.max.created.files=100000 MaximumnumberofHDFSfiles createdbyallmappers/reducersinamapreducejob hive.error.on.empty.partition=false*/selectinput__file__name,ordernumber,event_time, block__offset__inside__file/ (Length (ordernumber) +length (event_time) +2) +1fromorder_created_dynamic_partition;selectinput__file__name,ordernumber, eve

Complex ldquo, hot swapping of rdquo, and extensive application of systems and Service-Oriented Architecture (SOA) make it increasingly difficult to reasonably integrate data. Do Complex ldquo, hot swapping of rdquo, and extensive application of

use the sequence created in the Oracle database in the ODI10.1.3.2.0 version. SOURCE table: Usr_odi. Odi_sequence2 CREATE TABLE Odi_sequence2 ( sequence_type VARCHAR2 () not NULL, last_sequence number is not null ); Target table: