cassandra-server
Version:
A thin Javascript wrapper around Apache Cassandra to provide out of the box server support
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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: counttest
#
# The CQL for creating a table you wish to stress (optional if it already exists)
#
table_definition: |
CREATE TABLE counttest (
name text PRIMARY KEY,
count counter
) WITH 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..4)
- name: count
population: fixed(1)
insert:
partitions: fixed(1) # number of unique partitions to update in a single operation
# if perbatch < 1, multiple batches will be used but all partitions will
# occur in all batches (unless already finished); only the row counts will vary
pervisit: fixed(1)/1 # ratio of rows each partition should update in a single visit to the partition,
# as a proportion of the total possible for the partition
perbatch: fixed(1)/1 # number of rows each partition should update in a single batch statement,
# as a proportion of the proportion we are inserting this visit
# (i.e. compounds with (and capped by) pervisit)
batchtype: UNLOGGED # type of batch to use
#
# A list of queries you wish to run against the schema
#
queries:
simple1: select * from counttest where name = ?