Minor edits

Author: johnsmartco

src/resources/cdm-detailed.properties

@@ -55,7 +55,7 @@ spark.cdm.connect.target.password      cassandra
 #    .column
 #       .ttl
 #          .automatic     : Default is true, unless .ttl.names is specified. When true, the TTL of the
-#                           target record will be determined by finding the maxiumum TTL of
+#                           target record will be determined by finding the maximum TTL of
 #                           all origin columns that can have TTL set (which excludes partition key,
 #                           clustering key, collections/UDT/tuple, and frozen columns). When false, and
 #                           .names is not set, the target record will have the TTL determined by the target
@@ -65,7 +65,7 @@ spark.cdm.connect.target.password      cassandra
 #                           the TTL of the target record.
 #       .writetime
 #          .automatic     : Default is true, unless .writetime.names is specified. When true, the WRITETIME of
-#                           the target record will be determined by finding the maxiumum WRITETIME of
+#                           the target record will be determined by finding the maximum WRITETIME of
 #                           all origin columns that can have WRITETIME set (which excludes partition key,
 #                           clustering key, collections/UDT/tuple, and frozen columns). When false, and
 #                           .names is not set, the target record will have the WRITETIME determined by the target
@@ -129,7 +129,7 @@ spark.cdm.schema.origin.keyspaceTable                keyspace_name.table_name
 #                           counter gets DELETEd. Should the .missing record be re-inserted before
 #                           the DELETE gets tombstoned, the counter will zombie back to life, and the
 #                           counter will become 5323+5323 = 10646. 
-#  spark.tokenRange
+#  spark.cdm.tokenRange
 #   .partitionFile        : Default is "./<keyspace>.<tablename>_partitions.csv". Note, this file is used as
 #                           input as well as output when applicable. If the file exists, only the partition ranges
 #                           in this file will be Migrated or Validated. Similarly, if exceptions occur during
@@ -138,7 +138,7 @@ spark.cdm.schema.origin.keyspaceTable                keyspace_name.table_name
 spark.cdm.autocorrect.missing                     false
 spark.cdm.autocorrect.mismatch                    false
 #spark.cdm.autocorrect.missing.counter             false
-#spark.tokenrange.partitionFile                    /tokenrange/exception/path/keyspace.tablename_partitions.csv
+#spark.cdm.tokenrange.partitionFile                /tokenrange/exception/path/keyspace.tablename_partitions.csv
 
 #===========================================================================================================
 # Performance and Operations Parameters affecting throughput, error handling, and similar concerns.
@@ -148,7 +148,7 @@ spark.cdm.autocorrect.mismatch                    false
 #    .numParts            : Defaults is 10000. In standard operation, the full token range (-2^63..2^63-1)  
 #                           is divided into a number of parts which will be parallel-processed. You should 
 #                           aim for each part to comprise a total of ≈1-10GB of data to migrate. During 
-#                           intial testing, you may want this to be a small number (even 1).
+#                           initial testing, you may want this to be a small number (even 1).
 #    .batchSize           : Defaults is 5. When writing to Target, this comprises the number of records that 
 #                           will be put into an UNLOGGED batch. CDM will tend to work on the same partition 
 #                           at a time so if your partition sizes are larger, this number may be increased. 
@@ -165,15 +165,15 @@ spark.cdm.autocorrect.mismatch                    false
 # Other Parameters:
 #  spark.cdm.perfops
 #    .consistency         : The .consistency parameters may be one of: 
-#                           ANY, ONE, TWO, THREE, QUORUM, LOCAL_ONE, EACH_QUORUM, SERIAL, LOCAL_SERIAL, ALL
+#                           ANY, ONE, TWO, THREE, QUORUM, LOCAL_ONE, EACH_QUORUM, LOCAL_QUORUM, SERIAL, LOCAL_SERIAL, ALL
 #       .read             : Default is LOCAL_QUORUM. Read consistency from Origin, and also from Target 
 #                           when records are read for comparison purposes.
 #       .write            : Default is LOCAL_QUORUM. Write consistency to Target.
 #    .printStatsAfter     : Default is 100000. Number of rows of processing after which a progress log 
 #                           entry will be made.
 #    .fetchSizeInRows     : Default is 1000. This affects the frequency of reads from Origin, and also the 
 #                           frequency of flushes to Target. 
-#    .errorLimit          : Default is 0. Controls how many errors a thread may encounter during MigrateData
+#    .errorLimit          : Default is 0. Controls how many errors a thread may encounter during Migrate
 #                           and DiffData operations before failing. It is recommended to set this to a non-
 #                           zero value only when not doing a mutation-type operation, e.g. when running 
 #                           DiffData without .autocorrect.
@@ -196,7 +196,7 @@ spark.cdm.perfops.ratelimit.target                40000
 #                                    Partition and clustering columns cannot have null values, but if these
 #                                    are added as part of a schema transformation between Origin and Target
 #                                    it is possible that the Origin side is null. In this case, the 
-#                                    MigrateData operation would fail. This parameter allows a crude 
+#                                    Migrate data operation would fail. This parameter allows a crude 
 #                                    constant value to be used in its place, separate from the Constant 
 #                                    Values feature.
 #   .custom