diff --git a/modules/ROOT/partials/cdm-partition-ranges.adoc b/modules/ROOT/partials/cdm-partition-ranges.adoc deleted file mode 100644 index 121f1566..00000000 --- a/modules/ROOT/partials/cdm-partition-ranges.adoc +++ /dev/null @@ -1,35 +0,0 @@ -You can also use {cstar-data-migrator} to migrate or validate specific partition ranges. Use a **partition-file** with the name `./._partitions.csv`. -Use the following format in the CSV file, in the current folder as input. -Example: - -[source,csv] ----- --507900353496146534,-107285462027022883 --506781526266485690,1506166634797362039 -2637884402540451982,4638499294009575633 -798869613692279889,8699484505161403540 ----- - -Each line in the CSV represents a partition-range (`min,max`). - -Alternatively, you can also pass the partition-file with a command-line parameter. -Example: - -[source,bash] ----- -./spark-submit --properties-file cdm.properties \ - --conf spark.cdm.schema.origin.keyspaceTable="." \ - --conf spark.cdm.tokenrange.partitionFile.input="//" \ - --master "local[*]" --driver-memory 25G --executor-memory 25G \ - --class com.datastax.cdm.job. cassandra-data-migrator-x.y.z.jar &> logfile_name_$(date +%Y%m%d_%H_%M).txt ----- - -This mode is specifically useful to process a subset of partition-ranges that may have failed during a previous run. - -[NOTE] -==== -In the format shown above, the migration and validation jobs autogenerate a file named `./._partitions.csv`. -The file contains any failed partition ranges. -No file is created if there were no failed partitions. -You can use the CSV as input to process any failed partition in a subsequent run. -==== \ No newline at end of file