java - Optimize mysql query that take long execution time about 4 minutes - 


 select nl.ndc, formulary_status bh.webdav_formulary_detail wfd   inner join bh.payer_map pm on wfd.payer_map_id = pm.payer_map_id   inner join bh.ndc_lookup nl on wfd.product_id = nl.uid   pm.payer_id ='p00000000001001'     , pm.formulary_id='01244'     , nl.ndc in ('16590061572' , '35356078830' , '35356078860' , '35356078890' ,                    '49999085690' , '54868381500' , '54868381501' , '54868381503' ,                    '54868381504' , '54868381505' , '59011044010' , '59011044020' ,                    '63629377401' , '63629377402' , '63629377403');

the below mysql tables myisam engine 

show create table webdav_formulary_detail;  create table webdav_formulary_detail (   product_id mediumint(8) unsigned not null,   formulary_status char(2) not null,   file_iid smallint(5) unsigned not null default '0',   payer_map_id smallint(5) unsigned not null,   key payer_map_id (payer_map_id),   key product_id (product_id) ) engine=myisam default charset=latin1  create table ndc_lookup (   uid mediumint(8) unsigned not null,   ndc char(11) not null default '0',   primary key (uid),   key uid (uid),   key ndc (ndc) ) engine=myisam default charset=latin1  create table payer_map (   payer_map_id smallint(5) unsigned not null,   payer_id varchar(80) default null,   formulary_id varchar(50) default null,   alternate_id varchar(50) default null,   primary key (payer_map_id),   key payer_map_id (payer_map_id),   key payer_id (payer_id),   key formulary_id (formulary_id),   key alternate_id (alternate_id) ) engine=myisam default charset=latin1

how can optimize above mysql query improve execution time less half minute ?

where pm.payer_id ='p00000000001001'    , pm.formulary_id='01244'

begs composite index on payer_map: index(payer_id, formulary_id) (or opposite order). better switch innodb or create 'covering' index: index(payer_id, formulary_id, payer_map_id).

  1. the optimizer start table best filtering possibilities -- pm. index gave make efficient.
  2. the next table must wfd, using payer_map_id. wfd has index that.
  3. finally nl come in using uid. again there pretty index. actually, index(uid, ndc) better because of being "covering" index. or switching innodb because of 'clustering' of primary key.

always provide explain select...; see optimizer doing.

unrelated optimization:

primary key      (payer_map_id), key payer_map_id (payer_map_id),

a primary key unique key key, hence latter totally redundant; drop it. ditto uid.

my cookbook has more on how create indexes select.


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