Hi Could you help modelling this usecase I have below table ..I will update tagid's columns set(bigit) based on PK. I have created the secondary index column on tagid to query like below..
Select * from keyspace.customer_sensor_tagids where tagids CONTAINS 11358097; this query is doing the range scan because of the secondary index.. and causing performance issues If i create a MV on Tagid's can i be able to query like above.. please suggest a Datamodel for this scenario.Apprecite your help on this. ----------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------- example of Tagids for each row:- 4608831, 608886, 608890, 609164, 615024, 679579, 814791, 830404, 71756, 8538307, 9936868, 10883336, 10954034, 10958062, 10976553, 10976554, 10980255, 11009971, 11043805, 11075379, 11078819, 11167844, 11358097, 11479340, 11481769, 11481770, 11481771, 11481772, 11693597, 11709012, 12193230, 12421500, 12421516, 12421781, 12422011, 12422368, 12422501, 12422512, 12422553, 12422555, 12423381, 12423382 ----------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------- CREATE TABLE keyspace.customer_sensor_tagids ( customerid bigint, sensorid bigint, XXX frozen<activity>, XXX frozen<asset>, XXX text, XXX text, XXX frozen<hardware>, XXX bigint, XXX bigint, XXX list<frozen<interface>>, XXX frozen<inventory>, XXX boolean, XXX bigint, XXX list<frozen<openport>>, XXX frozen<operatingsystem>, XXX bigint, XXX bigint, XXX list<frozen<processor>>, XXX list<frozen<service>>, XXX set<frozen<software>>, XXX set<bigint>, XXX set<bigint>, tagids set<bigint>, XXX bigint, XXX list<frozen<volume>>, PRIMARY KEY ((customerid, sensorid)) ) 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'; CREATE INDEX XXX ON keyspace.customer_sensor_tagids (values(tagids)); CREATE INDEX XXX ON keyspace.customer_sensor_tagids (values(XXX)); CREATE INDEX XXX ON keyspace.customer_sensor_tagids (XXX); CREATE INDEX XXX ON keyspace.customer_sensor_tagids (XXX); CREATE INDEX XXX ON keyspace.customer_sensor_tagids (XXX); CREATE INDEX XXX ON keyspace.customer_sensor_tagids (XXX); CREATE INDEX XXX ON keyspace.customer_sensor_tagids (values(XXX)); CREATE INDEX XXX ON keyspace.customer_sensor_tagids (XXX);