text: /*
  
  * Ensure you have an up-to-date snapshot of the test_artifacts data.
  
  * Create a cql backup file with cassandradump that will be restored in the new table. (This need 22G of free disk space on cstar)
  
    python cassandradump.py --export-file /mnt/data/dump.cql --cf cstar_perf.test_artifacts --no-create
  
    -> https://github.com/gianlucaborello/cassandradump
  
  * Fix the column description to  name in that file using sed. (This needs ~20G free disk space on cstar)
  
    sed -i.bak s/\"description\"/\"name\"/g /mnt/data/dump.cql && rm /mnt/data/dump.cql.bak
  
  * Execute this CQL script
  
  * Restore the data using cqlsh. I suggest to split the big dump.cql file if it's too big.
  
    cd /mnt/data
    split -l 100 dump.cql
    for i in `ls x*`; do echo $i; cqlsh < $i; done
    rm /mnt/data/x*
  
  */
  
  DROP TABLE cstar_perf.test_artifacts;
  
  CREATE TABLE cstar_perf.test_artifacts (
      test_id timeuuid,
      artifact_type text,
      artifact blob,
      name text,
      PRIMARY KEY (test_id, artifact_type, name)
  ) WITH CLUSTERING ORDER BY (artifact_type ASC)
      AND bloom_filter_fp_chance = 0.01
      AND caching = '{"keys":"ALL", "rows_per_partition":"NONE"}'
      AND comment = ''
      AND compaction = {'class': 'org.apache.cassandra.db.compaction.SizeTieredCompactionStrategy'}
      AND compression = {'sstable_compression': 'org.apache.cassandra.io.compress.LZ4Compressor'}
      AND dclocal_read_repair_chance = 0.1
      AND default_time_to_live = 0
      AND gc_grace_seconds = 864000
      AND max_index_interval = 2048
      AND memtable_flush_period_in_ms = 0
      AND min_index_interval = 128
      AND read_repair_chance = 0.0
      AND speculative_retry = '99.0PERCENTILE';
  