Merge pull request #178 from johnsmartco/patch-2

Add a commented out line for #spark.cdm.feature.constantColumns.types

Author: msmygit

src/resources/cdm-detailed.properties

@@ -200,7 +200,7 @@ spark.cdm.perfops.ratelimit.target                40000
 #                                    constant value to be used in its place, separate from the Constant 
 #                                    Values feature.
 #   .custom
-#      .writetime                    Default is 0 (diabled). Timestamp value in microseconds to use as the
+#      .writetime                    Default is 0 (disabled). Timestamp value in microseconds to use as the
 #                                    WRITETIME for the target record. This is useful when the WRITETIME of
 #                                    the record in Origin cannot be determined (such as the only non-key
 #                                    columns are collections). This parameter allows a crude constant value
@@ -254,8 +254,10 @@ spark.cdm.perfops.ratelimit.target                40000
 
 #===========================================================================================================
 # Java Filters are applied on the client node. Data must be pulled from the origin cluster and then filtered,
-# but this may have a lower impact on the production cluster than the Cassandra Filters.
-# node may need to do a lot more work than is normal.
+# but this may have a lower impact on the production cluster than the Cassandra Filters. Java filters put 
+# load onto the Cassandra Data Migrator processing node, by sending more data from Cassandra. 
+# Cassandra filters put load on the Cassandra nodes, notably because Cassandra Data Migrator specifies 
+# ALLOW FILTERING, which could cause the coordinator node to perform a lot more work.
 #
 #  spark.cdm.filter.java
 #    .token.percent   : Percent (between 1 and 100) of the token in each Split that will be migrated.
@@ -299,6 +301,7 @@ spark.cdm.perfops.ratelimit.target                40000
 #               because some type values contain commas, e.g. lists, maps, sets, etc.
 #-----------------------------------------------------------------------------------------------------------
 #spark.cdm.feature.constantColumns.names        const1,const2
+#spark.cdm.feature.constantColumns.types 
 #spark.cdm.feature.constantColumns.values       'abcd',1234
 #spark.cdm.feature.constantColumns.splitRegex   ,