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Increase Java Memory For Pentaho Data Integration

Pentaho runs inside a Java virtual machine, and hence is bound by the properties of that VM. These optimisations can apply to just about any Java application, including the Pentaho BI Server and GUI tools. Method to increase memory allocation: Open the file spoon.sh or spoon.bat in a text editor Look for a section that looks like this: # ****************************************************************** # ** Set java runtime options                                     ** # ** Change 256m to higher values in case you run out of memory.  ** # ****************************************************************** OPT="-Xmx256m -cp $CLASSPATH -Djava.library.path=$LIBPATH -DKETTLE_HOME=$KETTLE_HOME -DKETTLE_REPOSITORY=$KETTLE_REPOSITORY -DKETTLE_USER=$KETTLE_USER -DKETTLE_PASSWORD=$KETTLE_PASSWORD -DKETTLE_PLUGIN_PACKAGES=$KETTLE_PLUGIN_PACKAGES" Change the -Xmx parameter to alter the max...
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Null pointer exception in tmap

You might have faced a common error in Talend i.e. the  NullPointerException in tMap "Exception in component tMap_1 java.lang.NullPointerException" Solutions: 1) Make sure your columns are nullable when you define the schema. 2) The NullPointerException indicate there are some null value on lookup table, so you need to deal with the null value on corresponding columns on expression filed of tmap, for example: !Relational.ISNULL(row13.abc)? row13.xyz:row13.sss:null
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Different Match Models in tMap with example

Unique Match:     (Also called Last match) If several matches are found in the Inner Join, i.e. the last row matching the explicit join as well as the filter will be added to the output flow. First Match: If several matches are found in the Inner Join, i.e. the first row matching the explicit join as well as the filter will be added to the output flow. All Match: If several matches are found in the Inner Join, i.e. rows matching the explicit join as well as the filter, all of them will be added to the output flow Example: deptid   sales 1           1000 2           2000 3           3000 2           5000 3           6000 Outputs: 1. Unique match deptid   sales 1           1000 2           5000 3           6000 2. All matches deptid  ...
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