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- The validation job will never delete records from target i.e. it only adds or updates data on target
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# Rerun (previously incomplete) Migration or Validation
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- You can rerun a Migration or Validation job to complete a previous run that could have stopped for any reasons. This mode will skip any token-ranges from previous run that were migrated or validated successfully. This is done by passing the `spark.cdm.trackRun.previousRunId` param as shown below
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- You can rerun/resume a Migration or Validation job to complete a previous run that could have stopped (or completed with some errors) for any reasons. This mode will skip any token-ranges from the previous run that were migrated (or validated) successfully. This is done by passing the `spark.cdm.trackRun.previousRunId` param as shown below
- This feature replaces and improves upon an older similar feature (using param `spark.cdm.tokenrange.partitionFile`) that is now deprecated and will be removed soon.
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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
@@ -125,7 +130,6 @@ Note:
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- Validate migration accuracy and performance using a smaller randomized data-set
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- Supports adding custom fixed `writetime`
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- Track run information (start-time, end-time, status, etc.) in tables (`cdm_run_info` and `cdm_run_details`) on the target keyspace
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- Validation - Log partitions range level exceptions, use the exceptions file as input for rerun
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# Things to know
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- Each run (Migration or Validation) can be tracked (when enabled). You can find summary and details of the same in tables `cdm_run_info` and `cdm_run_details` in the target keyspace.
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