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@belliottsmith
Last active September 17, 2015 07:09
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# Command line suggestions
# user
# ops(insert=100,latest=100,point=10,range=1)
# n=1B
# -rate threads=50
# -pop seq=1..1M
# contents=SORTED
# read-lookback=uniform(1..1M)
# -insert visits=fixed(100K)
# revisit=uniform(1..1M)"
# Variations to try:
# Increased RF
# compaction strategies;
# ASC order by
# Different operation distributions
keyspace: findata
keyspace_definition: |
CREATE KEYSPACE findata WITH replication = {'class': 'SimpleStrategy', 'replication_factor': 1};
table: trades
table_definition: |
CREATE TABLE trades (
instrumentid uuid,
day int,
second int,
millisecond int,
price double ,
volume double,
PRIMARY KEY((instrumentid, day), second, millisecond)
)
WITH CLUSTERING ORDER BY (second DESC, millisecond DESC)
AND compaction = { 'class':'LeveledCompactionStrategy' };
columnspec:
- name: second
cluster: uniform(50..200)
- name: millisecond
cluster: uniform(50..200)
queries:
latest:
cql: select * from trades where instrumentid = ? and day = ? ORDER BY second DESC, millisecond DESC LIMIT 1
fields: samerow # samerow or multirow (select arguments from the same row, or randomly from all rows in the partition)
point:
cql: select * from trades where instrumentid = ? and day = ? and second = ? ORDER BY second DESC, millisecond DESC LIMIT 1
fields: samerow # samerow or multirow (select arguments from the same row, or randomly from all rows in the partition)
range:
cql: select * from trades where instrumentid = ? and day = ? and second > ? ORDER BY second DESC, millisecond DESC LIMIT 100
fields: samerow # samerow or multirow (select arguments from the same row, or randomly from all rows in the partition)
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