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Dear All, I have two tables and i have to query my postgresql database.the table 1 has about 140 million records and table 2 has around 50 million records of the following. the table 1 has the following structure: tr_id bigint NOT NULL, # this is the primary key query_id numeric(20,0), # indexed column descrip_id numeric(20,0) # indexed column Do you really need numeric, or will an integer do the trick? Integers are |
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and table 2 has the following structure query_pk bigint # this is the primary key query_id numeric(20,0) # indexed column query_token numeric(20,0) The sample db of table1 would be 1 25 96 2 28 97 3 27 98 4 26 99 The sample db of table2 would be 1 25 9554 2 25 9456 3 25 9785 4 25 9514 5 26 7412 6 26 7433 7 27 545 8 27 5789 9 27 1566 10 28 122 11 28 1456 I am preferring queries in which i would be able to query in blocks of tr_id. In range of 10,000 as this is my requirement. I would like to get output in the following manner 25 {9554,9456,9785,9514} 26 {7412,7433} 27 {545,5789,1566} 28 {122,1456} I tried in the following manner select query_id, array_agg(query_token) from sch.table2 where query_id in(select query_id from sch.table1 where tr_id between 90001 and 100000) group by query_id Have you tried a join instead of a subselect? Also, having explain output |
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I am performing the following query which takes about 121346 ms and when some 4 such queries are fired it still takes longer time.can you please help me to optimise the same. I have a machine which runs on windows 7 with i7 2nd gen proc with 8GB of RAM. The following is my postgresql configuration shared_buffers = 1GB effective_cache_size = 5000MB work_mem = 2000MB What should i do to optimize it. Thanks EDIT : it would be great if the results ordered according to the following format 25 {9554,9456,9785,9514} 28 {122,1456} 27 {545,5789,1566} 26 {7412,7433} ie according to the order of the queryid present in table1 ordered by tr_id.If this is computationally expensive may be in the client code i would try to optimize it.But i am not sure how efficient it would be. -- Thanks Gowthamie Balamurugan |
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