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System Memory |
· Spark needs a minimum required memory in system to start shell and to do executions with it. We recommend a machine with minimum 8 GB RAM or higher.
· In Big Data Studio, Spark is running with the default memory configuration. Please ensure that the memory required for Spark is available in your system. Refer the following link to know more about the spark required memory calculation.
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Resource Manager Memory |
· Ensure that you have enough memory in the Resource Manager by checking the resource manager URL.
· Enough Memory for Spark = (Memory Total – Memory Used) > Spark required memory |
If System Memory is available, still shell fails? |
· You can increase allocated memory by changing the yarn.nodemanager.resource.memory-mb property value in the yarn-site.xml file available in the below location.
“C:\Syncfusion\BigData\<version>\BigDataSDK\SDK\Hadoop\etc\hadoop”
You have to specify the memory value in megabytes here. |
“C:\Syncfusion\BigData\<version>\BigDataSDK\Logs\Studio”
“C:\Syncfusion\BigData\<version>\BigDataSDK\Utilities\BigDataManagementStudio\Logs\Console\Spark”
Regards,
Nandhini K |