Icon

kn_​example_​db_​h2_​large_​files_​split

H2 database split into 1 GB chunks in order to store very large data

H2 database split into 1 GB chunks in order to store very large data

H2 database split into 1 GB chunks in order to store very large datahttps://forum.knime.com/t/db-writer-to-access-db-hangs-at-99/72090/6?u=mlauber71 H2 Supported Data Typeshttps://www.h2database.com/html/datatypes.htmlINTBOOLEANTINYINTSMALLINTBIGINTIDENTITYDECIMALDOUBLEREALTIMETIME WITH TIME ZONEDATETIMESTAMPTIMESTAMP WITH TIME ZONEBINARYOTHERVARCHARVARCHAR_IGNORECASECHARBLOBCLOBUUIDARRAYENUMGEOMETRYJSONINTERVAL If you want to use WINDOW functions like RANK with H2 you can easily update the H2 driver:https://forum.knime.com/t/sqlite-and-window-functions/31608/4?u=mlauber71 http://h2database.com/html/advanced.html#limits_limitationsThe maximum file size for FAT or FAT32 file systems is 4 GB. That means when using FAT orFAT32, the limit is 4 GB for the data. This is the limitation of the file system. The database doesprovide a workaround for this problem, it is to use the file name prefix split:. In that case files aresplit into files of 1 GB by default. An example database URL is: jdbc:h2:split:~/test. create a complex large dataset DB driver set to split databaseinto 1 GB chunksremove table if it exists to have a clean startsample_00sample_00read emptysample_00sample_00sample_00with datanew_idList all Columnsof "PUBLIC"you can accessan existing connectionSELECT * FROM INFORMATION_SCHEMA.INDEXESSELECT * FROM "INFORMATION_SCHEMA"."INDEX_COLUMNS"Node 1880sample_00create tabel with new_id asPRIMARY KEYNode 18826 iterationscollect resultscreate new RowIDSHUTDOWN COMPACT;=> compress the database H2 Connector DB Table Remover DB Reader DB Table Selector DB Writer DB Reader Java Snippet(simple) DB Query Reader DB ConnectionExtractor DB Query Reader DB Query Reader Test Data Generator Column Filter DB Table Creator Column Rename Concatenate RecursiveLoop Start Recursive Loop End RowID DB SQL Executor H2 database split into 1 GB chunks in order to store very large datahttps://forum.knime.com/t/db-writer-to-access-db-hangs-at-99/72090/6?u=mlauber71 H2 Supported Data Typeshttps://www.h2database.com/html/datatypes.htmlINTBOOLEANTINYINTSMALLINTBIGINTIDENTITYDECIMALDOUBLEREALTIMETIME WITH TIME ZONEDATETIMESTAMPTIMESTAMP WITH TIME ZONEBINARYOTHERVARCHARVARCHAR_IGNORECASECHARBLOBCLOBUUIDARRAYENUMGEOMETRYJSONINTERVAL If you want to use WINDOW functions like RANK with H2 you can easily update the H2 driver:https://forum.knime.com/t/sqlite-and-window-functions/31608/4?u=mlauber71 http://h2database.com/html/advanced.html#limits_limitationsThe maximum file size for FAT or FAT32 file systems is 4 GB. That means when using FAT orFAT32, the limit is 4 GB for the data. This is the limitation of the file system. The database doesprovide a workaround for this problem, it is to use the file name prefix split:. In that case files aresplit into files of 1 GB by default. An example database URL is: jdbc:h2:split:~/test. create a complex large dataset DB driver set to split databaseinto 1 GB chunksremove table if it exists to have a clean startsample_00sample_00read emptysample_00sample_00sample_00with datanew_idList all Columnsof "PUBLIC"you can accessan existing connectionSELECT * FROM INFORMATION_SCHEMA.INDEXESSELECT * FROM "INFORMATION_SCHEMA"."INDEX_COLUMNS"Node 1880sample_00create tabel with new_id asPRIMARY KEYNode 18826 iterationscollect resultscreate new RowIDSHUTDOWN COMPACT;=> compress the databaseH2 Connector DB Table Remover DB Reader DB Table Selector DB Writer DB Reader Java Snippet(simple) DB Query Reader DB ConnectionExtractor DB Query Reader DB Query Reader Test Data Generator Column Filter DB Table Creator Column Rename Concatenate RecursiveLoop Start Recursive Loop End RowID DB SQL Executor

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: m_lauber
Created at: 2020-09-18
On NodePit since: 2023-08-30
Last update: 2024-11-21
Created with KNIME version: v4.7.7
Tags: h2sqlcreatefromscratchdatabasechunk1gbsplit

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!