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README.md

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Each line above represents a partition-range (`min,max`). Alternatively, you can also pass the partition-file via command-line param as shown below
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```
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./spark-submit --properties-file cdm.properties /
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--conf spark.cdm.schema.origin.keyspaceTable="<keyspacename>.<tablename>" /
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--conf spark.cdm.tokenRange.partitionFile="/<path-to-file>/<csv-input-filename>" /
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--master "local[*]" --driver-memory 25G --executor-memory 25G /
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./spark-submit --properties-file cdm.properties \
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--conf spark.cdm.schema.origin.keyspaceTable="<keyspacename>.<tablename>" \
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--conf spark.cdm.tokenRange.partitionFile="/<path-to-file>/<csv-input-filename>" \
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--master "local[*]" --driver-memory 25G --executor-memory 25G \
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--class com.datastax.cdm.job.<Migrate|DiffData> cassandra-data-migrator-4.x.x.jar &> logfile_name_$(date +%Y%m%d_%H_%M).txt
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```
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This mode is specifically useful to processes a subset of partition-ranges that may have failed during a previous run.
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# Perform large-field Guardrail violation checks
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- The tool can be used to identify large fields from a table that may break you cluster guardrails (e.g. AstraDB has a 10MB limit for a single large field) `--class com.datastax.cdm.job.GuardrailCheck` as shown below
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```
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./spark-submit --properties-file cdm.properties /
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--conf spark.cdm.schema.origin.keyspaceTable="<keyspacename>.<tablename>" /
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--conf spark.cdm.feature.guardrail.colSizeInKB=10000 /
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--master "local[*]" --driver-memory 25G --executor-memory 25G /
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./spark-submit --properties-file cdm.properties \
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--conf spark.cdm.schema.origin.keyspaceTable="<keyspacename>.<tablename>" \
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--conf spark.cdm.feature.guardrail.colSizeInKB=10000 \
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--master "local[*]" --driver-memory 25G --executor-memory 25G \
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--class com.datastax.cdm.job.GuardrailCheck cassandra-data-migrator-4.x.x.jar &> logfile_name_$(date +%Y%m%d_%H_%M).txt
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```
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