CODEWITHSUNDEEP
cassandracassandra-3.0
Sat
Sat

Reputation: 4158

how to increase tombstone_failure_threshold value

I would like to increase the tombstone_failure_threshold value in cassandra.yaml file, By default the value is 100K

I am not sure about the value to set.

I have gone through some documentations, I saw like decreasing default gc_grace_seconds is 864000 (10 days). If your TTL data is set to 6 days then you might want to change gc_grace_seconds to 604800 (7 days) to remove tombstones sooner. But I am not setting TTL for my data. If I decrease gc_grace_seconds value, will it effect the tombstone_failure_threshold or better to change the tombstone_failure_threshold value in cassandra.yaml file?

`CREATE TABLE test.topics (
 topic_name text PRIMARY KEY,
 latest_time_stamp double
 ) WITH 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', 'max_threshold': '32', 'min_threshold': '4'}
AND compression = {'chunk_length_in_kb': '64', 'class': 'org.apache.cassandra.io.compress.LZ4Compressor'}
AND crc_check_chance = 1.0
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 = '99PERCENTILE';

Upvotes: 2

Views: 2481

Answers (1)

Horia
Horia

Reputation: 2982

  • tombstone_warn_threshold (default: 1000): if the number of tombstones scanned by a query exceeds this number Cassandra will log a warning (which will likely be propagating to your monitoring system and send you an alert).
  • tombstone_failure_threshold (default: 100000): if the number of tombstones scanned by a query exceeds this number Cassandra will abort the query. The is a mechanism to prevent one or more nodes from running out of memory and crashing.

These values should only be changed upwards if you are really confident about the memory use patterns in your cluster.

Upvotes: 5

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