Typetest profile for cassandra-stress to produce IndexOutOfBounds-Exception

typetest.yaml

#
# This is an example YAML profile for cassandra-stress
#
# insert data
# cassandra-stress user profile=/home/jake/stress1.yaml ops(insert=1)
#
# read, using query simple1:
# cassandra-stress profile=/home/jake/stress1.yaml ops(simple1=1)
#
# mixed workload (90/10)
# cassandra-stress user profile=/home/jake/stress1.yaml ops(insert=1,simple1=9)


#
# Keyspace info
#
keyspace: stresscql

#
# The CQL for creating a keyspace (optional if it already exists)
#
keyspace_definition: |
  CREATE KEYSPACE stresscql WITH replication = {'class': 'SimpleStrategy', 'replication_factor': 1};

#
# Table info
#
table: typestest

#
# The CQL for creating a table you wish to stress (optional if it already exists)
#
table_definition: |
  CREATE TABLE typestest (
        name text,
        choice boolean,
        date timestamp,
        address inet,
        dbl double,
        lval bigint,
        ival int,
        uid timeuuid,
        value blob,
        PRIMARY KEY((name,choice), date, address, dbl, lval, ival, uid)
  ) 
    WITH compaction = { 'class':'LeveledCompactionStrategy' }
#    AND compression = { 'sstable_compression' : '' }
#    AND comment='A table of many types to test wide rows'

#
# Optional meta information on the generated columns in the above table
# The min and max only apply to text and blob types
# The distribution field represents the total unique population
# distribution of that column across rows.  Supported types are
# 
#      EXP(min..max)                        An exponential distribution over the range [min..max]
#      EXTREME(min..max,shape)              An extreme value (Weibull) distribution over the range [min..max]
#      GAUSSIAN(min..max,stdvrng)           A gaussian/normal distribution, where mean=(min+max)/2, and stdev is (mean-min)/stdvrng
#      GAUSSIAN(min..max,mean,stdev)        A gaussian/normal distribution, with explicitly defined mean and stdev
#      UNIFORM(min..max)                    A uniform distribution over the range [min, max]
#      FIXED(val)                           A fixed distribution, always returning the same value
#      Aliases: extr, gauss, normal, norm, weibull
#
#      If preceded by ~, the distribution is inverted
#
# Defaults for all columns are size: uniform(4..8), population: uniform(1..100B), cluster: fixed(1)
#
columnspec:
  - name: name
    size: uniform(1..10)
    population: uniform(1..10)     # the range of unique values to select for the field (default is 100Billion)
  - name: date
    cluster: uniform(20..40)
  - name: lval
    population: gaussian(1..1000)
    cluster: uniform(1..4)

insert:
  partitions: ~exp(20..50)       # number of unique partitions to update in a single operation
                                  # if batchcount > 1, multiple batches will be used but all partitions will
                                  # occur in all batches (unless they finish early); only the row counts will vary
  batchtype: LOGGED               # type of batch to use
  select: uniform(1..10)/10       # uniform chance any single generated CQL row will be visited in a partition;
                                  # generated for each partition independently, each time we visit it

#
# A list of queries you wish to run against the schema
#
queries:
   simple1:
      cql: select * from typestest where name = ? and choice = ? LIMIT 100
      fields: samerow             # samerow or multirow (select arguments from the same row, or randomly from all rows in the partition)
   range1:
      cql: select * from typestest where name = ? and choice = ? and date >= ? LIMIT 100
      fields: multirow            # samerow or multirow (select arguments from the same row, or randomly from all rows in the partition)

Do you know how much data you dump into the cassandra db by cassandra-stress? I do not know how to calculate it by the columnspec in the profile.