Query Tuning Bigquery -


i have query strange behavior because in occasions takes 120 seconds , 250 seconds. have minimize execution time can not find guide me improve runtime of queries.

the table containing information has following characteristics:

  1. all fields repeat
  2. it has 800 million records
  3. process 14.2 gb

the query this:

select  todayinfo.client client,   todayinfo.todayinfo today,   todayinfo.dayagoinfo dayago,   todayinfo.threedaysago threedaysago,   todayinfo.weekago weekago, (   select     client,     sum(if( bp_time between timestamp('2016/01/01')     , timestamp('2016/01/31'),1,0)) todayinfo,     sum(if( bp_time between date_add(timestamp('2016/01/01'), - 1,"day")     , date_add(timestamp('2016/01/31'), - 1,"day"),1,0)) dayagoinfo,     sum(if( bp_time between date_add(timestamp('2016/01/01'), - 3,"day")     , date_add(timestamp('2016/01/31'), - 3,"day"),1,0)) threedaysago,     sum(if( bp_time between date_add(timestamp('2016/01/01'), - 8,"day")     , date_add(timestamp('2016/01/31'), - 8,"day"),1,0)) weekago       [dataset.table]    group     client      ) todayinfo  order     today desc limit 10

there guide or tips can me optimize runtimes not query future queries?

because of way bigquery works, isn't tunable relational databases. not use indexes, , every query full scan.

that being said, need learn more why queries slow. depends lot on specifics of data. can use query plan explanation idea of bigquery spending time.

but, @pentium10 mentioned in comment, going have partition data day reduce size of scans. it's explained in more detail in this answer.


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