Export Data

  • Export All Tables of Database

    Following formats are supported: Delimited Text, XML, Insert Script, QlikView QVX Files, QlikView QVD Files, Excel.

    All our ETL tools have no limitations, that means you can load your data today and solve all the data quality problems right now.

    Our WIKI has more detailed information if you are stuck post your question on our support forum and we will do our best to assist you

  • This article describes how you can export all tables from any database into text files

     The first step is to download and install Advanced ETL Processor Professional from here

    Then we need to create an ETL  package. Let call it Export Package.

    Here is an introduction tutorial

    Export Package

     Double click on Export Data Object and select the appropriate connection type

    Mass Export into csv files

     Next step is to specify tables to export. It also possible to use the mask as a filter

    Mass Export into csv files

     If necessary user can restrict the number of records tables to export

    Mass Export into csv files

     And the last step is to select output file format. The user can export all data into one file or into separate files.

    Mass Export into csv files

    Lets run the Package

    Information 12/08/2018 19:15:57 Preparing to execute: Export Package
    Information 12/08/2018 19:15:57 Started
    Information 12/08/2018 19:15:57 Executing:Export Package
    Information 12/08/2018 19:15:57 Executing Export: Export Data
    Information 12/08/2018 19:15:57 Executing:Export Data
    Information 12/08/2018 19:15:57 Connection Name: SQL
    Information 12/08/2018 19:15:57 Connection Type is: MS Sql Server
    Information 12/08/2018 19:15:57 Source MS Sql Server: DBSLCOMPUTER\SQLEXPRESS2014
    Information 12/08/2018 19:15:57 Connection Name: SQL
    Information 12/08/2018 19:15:57 Connection Type is: MS Sql Server
    Information 12/08/2018 19:15:57 Source MS Sql Server: DBSLCOMPUTER\SQLEXPRESS2014
    Information 12/08/2018 19:15:57 Connection Type is: MS Sql Server
    Information 12/08/2018 19:15:57 Reading all specified Table(s)
    Information 12/08/2018 19:15:57 Source Table: [AOB].[dbo].[ExtentionCountHistory]
    Information 12/08/2018 19:15:57 Using Bulk Fetch
    Information 12/08/2018 19:15:57 Path: C:\tmp\Export\
    Information 12/08/2018 19:15:57 Mask: AOB.dbo.ExtentionCountHistory.csv
    Information 12/08/2018 19:15:57 Path Is Valid: True
    Information 12/08/2018 19:15:57 Include Directory: False
    Information 12/08/2018 19:15:57 In Sub Folders: False
    Information 12/08/2018 19:15:57 Attributes: ReadOnly
    Information 12/08/2018 19:15:57 Attribute: Hidden
    Information 12/08/2018 19:15:57 Attribute: SysFile
    Information 12/08/2018 19:15:57 Attribute: aArchive
    Information 12/08/2018 19:15:57 File Age: 0
    Information 12/08/2018 19:15:57 Which File: 0
    Information 12/08/2018 19:15:57 Export File : C:\tmp\Export\AOB.dbo.ExtentionCountHistory.csv
    Information 12/08/2018 19:16:44 Read: 7,019,847 Records/Lines/Messages (in total)
    Information 12/08/2018 19:16:44 Records/Lines/Messages per second: 147,964
    Information 12/08/2018 19:16:44 Time Taken: 00:00:47
    Information 12/08/2018 19:16:44 Done!
    Information 12/08/2018 19:16:44 Finished
    Download Advanced ETL Processor Enterprise now!

     

  • We are constantly working on optimizing the performance of our ETL software. ETL process is very similar to a river. Narrow parts prevent water from flowing freely. But if there is no water widening narrows parts will not help. The data flow starts with the data reader. So it is important to make it very fast. It is so important to measure performance correctly.  We always use the same table structure and the same file format for testing.  We did spend a lot of time optimizing SQLite data reader and manage to make two times faster

    Latest version Advanced ETL Processor extracts data from SQLite more than 2 times faster

    etl sqlite 

    Advanced ETL Processor Enterprise version 6.3.4.2 does 123,000 records per second and extracts 14mln records in 1 minute and 53 seconds

    transform sqlite data up to two times faster

    Advanced ETL Processor Enterprise version 6.3.4.6 does 364,000 records per second and extracts 14mln records in 38 seconds.

    Download Free Trial

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