2012-04-18 10 views
6

私は日付を指定するとpostgresqlでクエリを受け取ります BETWEEN '2012-01-01' AND '2012-01- 04' 2012-01-01 『AND『2012-04-17』これはなぜいずれかを教えてもらえますより短い日付範囲(結果セット)のPostgreSQLクエリのほうが遅く、日付範囲の大きいもの(結果)

は、それは私がBETWEEN をすればそれは小さなレコードが、その後設定しているにもかかわらず、遅くなりますか』?

"HashAggregate (cost=9388.82..9388.88 rows=1 width=311) (actual time=187787.183..187788.001 rows=153 loops=1)" 
" -> Nested Loop (cost=9266.68..9388.77 rows=1 width=311) (actual time=8432.315..187785.091 rows=153 loops=1)" 
"  Join Filter: ((oh.ord_id = ord_line.ord_id) AND (iis.item_id = ord_line.item_id))" 
"  -> Nested Loop Left Join (cost=9266.68..9373.81 rows=1 width=333) (actual time=92.238..147161.052 rows=5847933 loops=1)" 
"    Join Filter: ((oh.division)::text = (item_color_cd.division)::text)" 
"    -> Nested Loop Left Join (cost=9266.68..9373.53 rows=1 width=322) (actual time=92.214..113058.202 rows=5847933 loops=1)" 
"     Join Filter: ((oh.division)::text = (item_size_cd.division)::text)" 
"     -> Nested Loop Left Join (cost=9266.68..9373.24 rows=1 width=312) (actual time=92.189..77932.977 rows=5847933 loops=1)" 
"       Join Filter: ((oh.division)::text = (item_class_cd.division)::text)" 
"       -> Nested Loop (cost=9266.68..9372.92 rows=1 width=294) (actual time=92.183..61183.081 rows=5847933 loops=1)" 
"        -> Nested Loop (cost=67.45..91.07 rows=1 width=75) (actual time=0.819..58.193 rows=8463 loops=1)" 
"          -> Nested Loop (cost=67.45..75.24 rows=1 width=51) (actual time=0.784..3.894 rows=360 loops=1)" 
"           -> Index Scan using item_dept_cd_division_key on item_dept_cd (cost=0.00..5.27 rows=1 width=27) (actual time=0.045..0.047 rows=1 loops=1)" 
"             Index Cond: (((division)::text = 'BSM'::text) AND ((dept_cd)::text = 'S'::text))" 
"             Filter: ((dept_cd)::text ~~ 'S'::text)" 
"           -> Bitmap Heap Scan on item_item_num iin (cost=67.45..69.96 rows=1 width=32) (actual time=0.734..3.315 rows=360 loops=1)" 
"             Recheck Cond: ((iin.dept_cd_id = item_dept_cd.dept_cd_id) AND ((iin.division)::text = 'BSM'::text))" 
"             -> BitmapAnd (cost=67.45..67.45 rows=1 width=0) (actual time=0.687..0.687 rows=0 loops=1)" 
"              -> Bitmap Index Scan on item_item_num_dept_id (cost=0.00..6.92 rows=213 width=0) (actual time=0.109..0.109 rows=364 loops=1)" 
"                Index Cond: (iin.dept_cd_id = item_dept_cd.dept_cd_id)" 
"              -> Bitmap Index Scan on item_item_num_division_key (cost=0.00..59.64 rows=2573 width=0) (actual time=0.544..0.544 rows=2753 loops=1)" 
"                Index Cond: ((iin.division)::text = 'BSM'::text)" 
"          -> Index Scan using item_sku_item_num_id_key on item_sku iis (cost=0.00..15.82 rows=1 width=32) (actual time=0.021..0.104 rows=24 loops=360)" 
"           Index Cond: (iis.item_num_id = iin.item_num_id)" 
"           Filter: ((iis.division)::text = 'BSM'::text)" 
"        -> HashAggregate (cost=9199.23..9281.69 rows=8 width=66) (actual time=0.020..6.298 rows=691 loops=8463)" 
"          -> Nested Loop (cost=0.01..9198.91 rows=8 width=66) (actual time=1.111..89.484 rows=691 loops=1)" 
"           -> Index Scan using ledger_demand_ix4 on ledger_demand ls (cost=0.01..4512.71 rows=710 width=35) (actual time=1.078..79.178 rows=691 loops=1)" 
"             Index Cond: ((date(trans_date) >= '2012-01-01'::date) AND (date(trans_date) <= '2012-01-04'::date))" 
"             Filter: (((division)::text = 'BSM'::text) AND (((qty_ordered > 0) AND ((ledger_code)::text ~~ 'D%'::text)) OR ((ledger_code)::text ~~ 'DC%'::text)))" 
"           -> Index Scan using ord_header_pkey on ord_header oh (cost=0.00..6.59 rows=1 width=39) (actual time=0.010..0.011 rows=1 loops=691)" 
"             Index Cond: (oh.ord_id = ls.ord_id)" 
"             Filter: ((oh.division)::text = 'BSM'::text)" 
"          SubPlan 1" 
"          -> Aggregate (cost=10.25..10.26 rows=1 width=8) (actual time=0.005..0.006 rows=1 loops=5847933)" 
"            -> Index Scan using ledger_discount_ord_line_id on ledger_discount (cost=0.00..10.25 rows=1 width=8) (actual time=0.003..0.004 rows=0 loops=5847933)" 
"             Index Cond: (ord_line_id = $2)" 
"             Filter: (((ledger_code)::text ~~ 'D%'::text) AND ((division)::text = ($0)::text) AND (ord_id = $1) AND (date(trans_date) = date($3)))" 
"       -> Index Scan using item_class_cd_pkey on item_class_cd (cost=0.00..0.30 rows=1 width=31) (actual time=0.001..0.001 rows=0 loops=5847933)" 
"        Index Cond: (iin.class_cd_id = item_class_cd.class_cd_id)" 
"        Filter: ((item_class_cd.division)::text = 'BSM'::text)" 
"     -> Index Scan using item_size_cd_pkey on item_size_cd (cost=0.00..0.27 rows=1 width=25) (actual time=0.002..0.003 rows=1 loops=5847933)" 
"       Index Cond: (iis.size_cd_id = item_size_cd.size_cd_id)" 
"       Filter: ((item_size_cd.division)::text = 'BSM'::text)" 
"    -> Index Scan using item_color_cd_pkey on item_color_cd (cost=0.00..0.27 rows=1 width=25) (actual time=0.002..0.003 rows=1 loops=5847933)" 
"     Index Cond: (iis.color_cd_id = item_color_cd.color_cd_id)" 
"     Filter: ((item_color_cd.division)::text = 'BSM'::text)" 
"  -> Index Scan using ord_line_pkey on ord_line (cost=0.00..14.94 rows=1 width=16) (actual time=0.004..0.005 rows=1 loops=5847933)" 
"    Index Cond: (ord_line.ord_line_id = ls.ord_line_id)" 
"    Filter: ((ord_line.division)::text = 'BSM'::text)" 
"Total runtime: 187788.419 ms" 

と高速クエリのために:ここで

が遅くなり、クエリのためだ

"HashAggregate (cost=395482.02..395482.08 rows=1 width=311) (actual time=3176.868..3204.741 rows=4900 loops=1)" 
" -> Nested Loop Left Join (cost=391021.12..395481.97 rows=1 width=311) (actual time=2074.121..3151.576 rows=5118 loops=1)" 
"  Join Filter: ((oh.division)::text = (item_color_cd.division)::text)" 
"  -> Nested Loop Left Join (cost=391021.12..395481.69 rows=1 width=314) (actual time=2074.086..3113.537 rows=5118 loops=1)" 
"    Join Filter: ((oh.division)::text = (item_size_cd.division)::text)" 
"    -> Nested Loop Left Join (cost=391021.12..395481.40 rows=1 width=304) (actual time=2074.067..3077.820 rows=5118 loops=1)" 
"     Join Filter: ((oh.division)::text = (item_class_cd.division)::text)" 
"     -> Hash Join (cost=391021.12..395481.11 rows=1 width=286) (actual time=2074.062..3061.180 rows=5118 loops=1)" 
"       Hash Cond: ((oh.ord_id = ord_line.ord_id) AND (ls.ord_line_id = ord_line.ord_line_id))" 
"       -> HashAggregate (cost=390858.20..395310.62 rows=432 width=66) (actual time=1089.300..1596.212 rows=38947 loops=1)" 
"        -> Nested Loop (cost=92108.27..390840.92 rows=432 width=66) (actual time=603.101..1004.552 rows=38947 loops=1)" 
"          -> Bitmap Heap Scan on ledger_demand ls (cost=92108.27..174982.73 rows=36833 width=35) (actual time=603.076..708.321 rows=38947 loops=1)" 
"           Recheck Cond: (((division)::text = 'BSM'::text) AND (date(trans_date) >= '2012-01-01'::date) AND (date(trans_date) <= '2012-04-17'::date))" 
"           Filter: (((qty_ordered > 0) AND ((ledger_code)::text ~~ 'D%'::text)) OR ((ledger_code)::text ~~ 'DC%'::text))" 
"           -> BitmapAnd (cost=92108.27..92108.27 rows=37705 width=0) (actual time=600.722..600.722 rows=0 loops=1)" 
"             -> Bitmap Index Scan on ledger_demand_ix2 (cost=0.00..12712.18 rows=559935 width=0) (actual time=91.763..91.763 rows=572985 loops=1)" 
"              Index Cond: ((division)::text = 'BSM'::text)" 
"             -> Bitmap Index Scan on ledger_demand_ix4 (cost=0.00..79377.42 rows=4397941 width=0) (actual time=483.385..483.385 rows=4444914 loops=1)" 
"              Index Cond: ((date(trans_date) >= '2012-01-01'::date) AND (date(trans_date) <= '2012-04-17'::date))" 
"          -> Index Scan using ord_header_pkey on ord_header oh (cost=0.00..5.85 rows=1 width=39) (actual time=0.004..0.005 rows=1 loops=38947)" 
"           Index Cond: (oh.ord_id = ls.ord_id)" 
"           Filter: ((oh.division)::text = 'BSM'::text)" 
"        SubPlan 1" 
"         -> Aggregate (cost=10.25..10.26 rows=1 width=8) (actual time=0.009..0.009 rows=1 loops=38947)" 
"          -> Index Scan using ledger_discount_ord_line_id on ledger_discount (cost=0.00..10.25 rows=1 width=8) (actual time=0.007..0.007 rows=0 loops=38947)" 
"            Index Cond: (ord_line_id = $2)" 
"            Filter: (((ledger_code)::text ~~ 'D%'::text) AND ((division)::text = ($0)::text) AND (ord_id = $1) AND (date(trans_date) = date($3)))" 
"       -> Hash (cost=162.91..162.91 rows=1 width=83) (actual time=984.452..984.452 rows=112897 loops=1)" 
"        -> Nested Loop (cost=67.45..162.91 rows=1 width=83) (actual time=0.736..852.432 rows=112897 loops=1)" 
"          -> Nested Loop (cost=67.45..91.07 rows=1 width=75) (actual time=0.705..45.978 rows=8463 loops=1)" 
"           -> Nested Loop (cost=67.45..75.24 rows=1 width=51) (actual time=0.675..4.358 rows=360 loops=1)" 
"             -> Index Scan using item_dept_cd_division_key on item_dept_cd (cost=0.00..5.27 rows=1 width=27) (actual time=0.030..0.032 rows=1 loops=1)" 
"              Index Cond: (((division)::text = 'BSM'::text) AND ((dept_cd)::text = 'S'::text))" 
"              Filter: ((dept_cd)::text ~~ 'S'::text)" 
"             -> Bitmap Heap Scan on item_item_num iin (cost=67.45..69.96 rows=1 width=32) (actual time=0.641..3.818 rows=360 loops=1)" 
"              Recheck Cond: ((iin.dept_cd_id = item_dept_cd.dept_cd_id) AND ((iin.division)::text = 'BSM'::text))" 
"              -> BitmapAnd (cost=67.45..67.45 rows=1 width=0) (actual time=0.598..0.598 rows=0 loops=1)" 
"                -> Bitmap Index Scan on item_item_num_dept_id (cost=0.00..6.92 rows=213 width=0) (actual time=0.089..0.089 rows=364 loops=1)" 
"                 Index Cond: (iin.dept_cd_id = item_dept_cd.dept_cd_id)" 
"                -> Bitmap Index Scan on item_item_num_division_key (cost=0.00..59.64 rows=2573 width=0) (actual time=0.479..0.479 rows=2753 loops=1)" 
"                 Index Cond: ((iin.division)::text = 'BSM'::text)" 
"           -> Index Scan using item_sku_item_num_id_key on item_sku iis (cost=0.00..15.82 rows=1 width=32) (actual time=0.015..0.074 rows=24 loops=360)" 
"             Index Cond: (iis.item_num_id = iin.item_num_id)" 
"             Filter: ((iis.division)::text = 'BSM'::text)" 
"          -> Index Scan using ord_line_item_id_idx on ord_line (cost=0.00..71.79 rows=3 width=16) (actual time=0.009..0.072 rows=13 loops=8463)" 
"           Index Cond: (ord_line.item_id = iis.item_id)" 
"           Filter: ((ord_line.division)::text = 'BSM'::text)" 
"     -> Index Scan using item_class_cd_pkey on item_class_cd (cost=0.00..0.27 rows=1 width=31) (actual time=0.001..0.001 rows=0 loops=5118)" 
"       Index Cond: (iin.class_cd_id = item_class_cd.class_cd_id)" 
"       Filter: ((item_class_cd.division)::text = 'BSM'::text)" 
"    -> Index Scan using item_size_cd_pkey on item_size_cd (cost=0.00..0.27 rows=1 width=25) (actual time=0.003..0.004 rows=1 loops=5118)" 
"     Index Cond: (iis.size_cd_id = item_size_cd.size_cd_id)" 
"     Filter: ((item_size_cd.division)::text = 'BSM'::text)" 
"  -> Index Scan using item_color_cd_pkey on item_color_cd (cost=0.00..0.27 rows=1 width=25) (actual time=0.003..0.004 rows=1 loops=5118)" 
"    Index Cond: (iis.color_cd_id = item_color_cd.color_cd_id)" 
"    Filter: ((item_color_cd.division)::text = 'BSM'::text)" 
"Total runtime: 3208.876 ms" 

クエリのみ変更がWHERE DATE(TRANS_DATE) '2012-04-01' の間にあるとあると'2012-04-17'

SELECT trans_date         AS order_date, 
     iin.item_num           AS item_num, 
     color_cd            AS color_code, 
     color_desc            AS color_description, 
     size_cd            AS size_code, 
     size_desc            AS size_description, 
     class_cd            AS class_code, 
     class_desc            AS class_description, 
     dept_cd            AS dept_code, 
     dept_desc            AS dept_description, 
     Count(ord_id)           AS num_of_orders, 
     Sum(vs.qty_ordered)         AS units, 
     To_char(Sum(merch_amt_new3),'99G999G990.00')   AS merch_amt, 
     To_char(Sum(gift_cert_new3 - gift_cert_canceled_new3), 
       '99G999G990.00') AS gift_cert, 
     To_char(Sum(discount_amt),'99G999G990.00')    AS discount_amt, 
     To_char(Sum(tax_amt),'99G999G990.00')     AS tax, 
     To_char(Sum(vs.qty_ordered * Coalesce(iis.cost,iin.cost)), 
       '99G999G990.00') AS extended_cost, 
     To_char(Sum(merch_amt - discount_amt),'99G999G990.00') AS total, 
     To_char(Sum(canceled_merch_new3),'99G999G990.00')  AS canceled_merch, 
     iis.sku_id 
FROM  (SELECT oh.division, 
        oh.ord_id, 
        client_order_num, 
        source_id, 
        bus_type_id, 
        order_type_id, 
        Date(ls.trans_date) AS trans_date, 
        ls.ord_line_id, 
        Sum(ls.qty_ordered) AS qty_ordered, 
        Sum(ls.amount)   AS merch_amt, 
        Sum(tax) AS tax_amt, 
        Coalesce((SELECT Sum(ledger_discount.amount) AS SUM 
          FROM ledger_discount 
          WHERE ledger_discount.ledger_code ~~ 'D%' 
            AND ledger_discount.division = oh.division 
            AND ledger_discount.ord_id = oh.ord_id 
            AND ledger_discount.ord_line_id = ls.ord_line_id 
            AND Date(ledger_discount.trans_date) = Date(ls.trans_date)), 
          0.0) AS discount_amt, 
        (CASE 
         WHEN ls.ledger_code = 'DO' 
         THEN Sum(ls.amount) 
         ELSE 0.0 
        END) AS merch_amt_new3, 
        (CASE 
         WHEN ls.ledger_code = 'DOG' 
         THEN Sum(ls.amount) 
         ELSE 0.0 
        END) AS gift_cert_new3, 
        (CASE 
         WHEN ls.ledger_code = 'DCG' 
         THEN Sum(-ls.amount) 
         ELSE 0.0 
        END) AS gift_cert_canceled_new3, 
        (CASE 
         WHEN ls.ledger_code = 'DC' 
         THEN Sum(-ls.amount) 
         ELSE 0.0 
        END) AS canceled_merch_new3 
      FROM  ledger_demand ls 
        JOIN ord_header oh 
        USING(division,ord_id) 
      WHERE (ls.qty_ordered > 0 
        AND ls.ledger_code ~~ 'D%') 
        OR (ls.ledger_code ~~ 'DC%') 
      GROUP BY oh.division, 
        oh.ord_id, 
        client_order_num, 
        source_id, 
        bus_type_id, 
        order_type_id, 
        ls.trans_date, 
        ls.ord_line_id, 
        ls.ledger_code 
        ) AS vs 
     JOIN ord_line 
      USING(division,ord_id,ord_line_id) 
     JOIN item_sku AS iis 
      USING(division,item_id) 
     JOIN item_item_num AS iin 
      USING(division,item_num_id) 
     LEFT JOIN item_color_cd 
      USING(division,color_cd_id) 
     LEFT JOIN item_size_cd 
      USING(division,size_cd_id) 
     LEFT JOIN item_class_cd 
      USING(division,class_cd_id) 
     LEFT JOIN item_dept_cd 
      USING(division,dept_cd_id) 
WHERE DATE(trans_date) BETWEEN '2012-04-01' AND '2012-04-17' 
AND item_dept_cd.dept_cd LIKE 'S' 
AND division = 'BSM' 
GROUP BY trans_date, 
     iin.item_num, 
     color_cd, 
     color_desc, 
     size_cd, 
     size_desc, 
     class_cd, 
     class_desc, 
     dept_cd, 
     dept_desc, 
     iis.sku_id 
+2

[最初のクエリの説明](http://explain.depesz.com/s/qIz)| [2番目のクエリの説明](http://explain.depesz.com/s/qw5) – dschulz

+0

実際のクエリを投稿できますか? – dschulz

+0

私はあなたのための最初の質問でクエリを投稿します。 – tnguyen444

答えて

4

短い答えは、実際にはデータセット/テーブル/インデックスなどに依存していることです。実行してみてくださいEXPLAINそれぞれのステートメントには、何が起こっているかが正確に伝えられます。

EXPLAIN SELECT * FROM myTable WHERE myDate BETWEEN '2012-01-01' AND '2012-01-04' 

EXPLAIN SELECT * FROM myTable WHERE myDate BETWEEN '2012-01-01' AND '2012-04-17'