Sql le不一定自上而下地处理谓词，您可能会发现，有一天，当计划发生变化时，您的查询会失败。无法判断，因为我们不知道存在哪些索引。显示解释计划可能是一个好的开始…@Daniel-即使没有计划，我也可以看到由于ISNUMBER而将数值存储为字符串。这导致了表格扫描
Sql le不一定自上而下地处理谓词，您可能会发现，有一天，当计划发生变化时，您的查询会失败。无法判断，因为我们不知道存在哪些索引。显示解释计划可能是一个好的开始…@Daniel-即使没有计划，我也可以看到由于ISNUMBER而将数值存储为字符串。这导致了表格扫描,sql,optimization,oracle11g,Sql,Optimization,Oracle11g,le不一定自上而下地处理谓词，您可能会发现，有一天，当计划发生变化时，您的查询会失败。无法判断，因为我们不知道存在哪些索引。显示解释计划可能是一个好的开始…@Daniel-即使没有计划，我也可以看到由于ISNUMBER而将数值存储为字符串。这导致了表格扫描。这就像吃豆子，在显眼的地方拿着一个拉链，试图给热气球充气一样。@Lasse V.Karlsen:我认为这个问题不太本地化。尽管有很多细节对其他人来说并不重要，但将数字存储为字符串的核心问题适用于大量用户。在Oracle中设置NOCOUNT O
le不一定自上而下地处理谓词，您可能会发现，有一天，当计划发生变化时，您的查询会失败。无法判断，因为我们不知道存在哪些索引。显示解释计划可能是一个好的开始…@Daniel-即使没有计划，我也可以看到由于ISNUMBER而将数值存储为字符串。这导致了表格扫描。这就像吃豆子，在显眼的地方拿着一个拉链，试图给热气球充气一样。@Lasse V.Karlsen:我认为这个问题不太本地化。尽管有很多细节对其他人来说并不重要，但将数字存储为字符串的核心问题适用于大量用户。
在Oracle中设置NOCOUNT ON SELECT *
FROM ( SELECT COUNT(*) AS countme,
string_value ,
name ,
property_id ,
category_id
FROM ( SELECT DISTINCT a.string_value,
a.name ,
a.property_id ,
b.product_id ,
a.category_id
FROM filter_criterias a
JOIN product_properties b
ON (
a.property_id = b.property_id
AND
(
(
isnumber(b.value) IS NOT NULL
AND isnumber(a.range_bottom) IS NOT NULL
AND isnumber(a.range_top) IS NOT NULL
AND
(
a.range_bottom >a.range_top
AND b.value >= a.range_bottom
OR a.range_bottom<=a.range_top
AND b.value >= a.range_bottom
AND b.value <=a.range_top
)
)
)
)
JOIN PRODUCT_CATEGORY prc
ON (
prc.sku = b.product_id
AND prc.category_id = a.category_id
)
JOIN PRODUCT pr
ON (
b.product_id = pr.SKU
AND pr.visible = '1'
)
)
GROUP BY (string_value, name, property_id,category_id)
UNION
SELECT COUNT(*) AS countme,
string_value ,
name ,
property_id ,
category_id
FROM ( SELECT DISTINCT a.string_value,
a.name ,
a.property_id ,
b.product_id ,
a.category_id
FROM filter_criterias a
JOIN product_properties b
ON (
a.property_id = b.property_id
AND
(
(
a.name= b.value
)
)
)
JOIN PRODUCT_CATEGORY prc
ON (
prc.sku = b.product_id
AND prc.category_id = a.category_id
)
JOIN PRODUCT pr
ON (
b.product_id = pr.SKU
AND pr.visible = '1'
)
)
GROUP BY (string_value, name, property_id,category_id)
)
ORDER BY 5,4,3,2
"Optimizer" "Cost" "Cardinality" "Bytes" "Partition Start" "Partition Stop" "Partition Id" "ACCESS PREDICATES" "FILTER PREDICATES"
"SELECT STATEMENT" "ALL_ROWS" "1298" "2" "542" "" "" "" "" ""
"SORT(ORDER BY)" "" "1298" "2" "542" "" "" "" "" ""
"VIEW" "" "1297" "2" "542" "" "" "" "" ""
"SORT(UNIQUE)" "" "1297" "2" "74" "" "" "" "" ""
"UNION-ALL" "" "" "" "" "" "" "" "" ""
"HASH(GROUP BY)" "" "661" "1" "37" "" "" "" "" ""
"VIEW" "" "659" "1" "37" "" "" "" "" ""
"HASH(UNIQUE)" "" "659" "1" "95" "" "" "" "" ""
"NESTED LOOPS" "" "" "" "" "" "" "" "" ""
"NESTED LOOPS" "" "658" "1" "95" "" "" "" "" ""
"HASH JOIN" "" "493" "1" "81" "" "" "" ""B"."PRODUCT_ID"=TO_NUMBER("PRC"."SKU") AND "A"."CATEGORY_ID"=SYS_OP_C2C("PRC"."CATEGORY_ID")" ""
"HASH JOIN" "" "369" "2" "128" "" "" "" ""B"."PROPERTY_ID"=TO_NUMBER("A"."PROPERTY_ID")" ""A"."RANGE_BOTTOM">"A"."RANGE_TOP" AND "A"."RANGE_BOTTOM"<=TO_NUMBER("B"."VALUE") OR "A"."RANGE_BOTTOM"<="A"."RANGE_TOP" AND "A"."RANGE_BOTTOM"<=TO_NUMBER("B"."VALUE") AND "A"."RANGE_TOP">=TO_NUMBER("B"."VALUE")"
"TABLE ACCESS(FULL) BNET.B_FILTER_CRITERIAS" "ANALYZED" "36" "28" "1148" "" "" "" "" ""ISNUMBER"(TO_CHAR("A"."RANGE_BOTTOM")) IS NOT NULL AND "ISNUMBER"(TO_CHAR("A"."RANGE_TOP")) IS NOT NULL"
"TABLE ACCESS(FULL) BNET.B_PRODUCT_PROPERTIES" "ANALYZED" "332" "12566" "289018" "" "" "" "" ""ISNUMBER"("B"."VALUE") IS NOT NULL"
"TABLE ACCESS(FULL) BNET.WLCS_PRODUCT_CATEGORY" "ANALYZED" "124" "129762" "2205954" "" "" "" "" ""
"INDEX(RANGE SCAN) BNET.WLCS_PROD_VISIBLE_IDX" "ANALYZED" "12" "6208" "" "" "" "" ""PR"."VISIBLE"='1'" ""
"TABLE ACCESS(BY INDEX ROWID) BNET.WLCS_PRODUCT" "ANALYZED" "164" "1" "14" "" "" "" "" ""B"."PRODUCT_ID"=TO_NUMBER("PR"."SKU")"
"HASH(GROUP BY)" "" "637" "1" "37" "" "" "" "" ""
"VIEW" "" "635" "1" "37" "" "" "" "" ""
"HASH(UNIQUE)" "" "635" "1" "91" "" "" "" "" ""
"HASH JOIN" "" "634" "1" "91" "" "" "" ""B"."PRODUCT_ID"=TO_NUMBER("PRC"."SKU") AND "A"."CATEGORY_ID"=SYS_OP_C2C("PRC"."CATEGORY_ID")" ""
"NESTED LOOPS" "" "" "" "" "" "" "" "" ""
"NESTED LOOPS" "" "509" "1" "74" "" "" "" "" ""
"HASH JOIN" "" "345" "1" "60" "" "" "" ""B"."PROPERTY_ID"=TO_NUMBER("A"."PROPERTY_ID") AND "A"."NAME"="B"."VALUE"" ""
"TABLE ACCESS(FULL) BNET.B_FILTER_CRITERIAS" "ANALYZED" "35" "11257" "416509" "" "" "" "" ""
"TABLE ACCESS(FULL) BNET.B_PRODUCT_PROPERTIES" "ANALYZED" "309" "251319" "5780337" "" "" "" "" ""
"INDEX(RANGE SCAN) BNET.WLCS_PROD_VISIBLE_IDX" "ANALYZED" "12" "6208" "" "" "" "" ""PR"."VISIBLE"='1'" ""
"TABLE ACCESS(BY INDEX ROWID) BNET.WLCS_PRODUCT" "ANALYZED" "164" "1" "14" "" "" "" "" ""B"."PRODUCT_ID"=TO_NUMBER("PR"."SKU")"
"TABLE ACCESS(FULL) BNET.WLCS_PRODUCT_CATEGORY" "ANALYZED" "124" "129762" "2205954" "" "" "" "" ""
SELECT
*
FROM
(
SELECT
COUNT(*) AS countme,
string_value,
name,
property_id,
category_id
FROM
(
SELECT DISTINCT
a.string_value,
a.name,
a.property_id,
b.product_id,
a.category_id
FROM
filter_criterias a
INNER JOIN product_properties b
ON a.property_id = b.property_id
AND isnumber(b.value) IS NOT NULL
AND isnumber(a.range_bottom) IS NOT NULL
AND isnumber(a.range_top) IS NOT NULL
AND (
a.range_bottom > a.range_top
AND b.value >= a.range_bottom
OR a.range_bottom <= a.range_top
AND b.value >= a.range_bottom
AND b.value <=a.range_top
)
INNER JOIN PRODUCT_CATEGORY prc
ON prc.sku = b.product_id
AND prc.category_id = a.category_id
INNER JOIN PRODUCT pr
ON b.product_id = pr.SKU
AND pr.visible = '1'
)
GROUP BY
string_value,
name,
property_id,
category_id
UNION
SELECT
COUNT(*) AS countme,
string_value,
name,
property_id,
category_id
FROM
(
SELECT DISTINCT
a.string_value,
a.name ,
a.property_id ,
b.product_id ,
a.category_id
FROM
filter_criterias a
INNER JOIN product_properties b
ON a.property_id = b.property_id
AND a.name = b.value
INNER JOIN PRODUCT_CATEGORY prc
ON prc.sku = b.product_id
AND prc.category_id = a.category_id
INNER JOIN PRODUCT pr
ON b.product_id = pr.SKU
AND pr.visible = '1'
)
GROUP BY
string_value,
name,
property_id,
category_id
ORDER BY 5,4,3,2
select dbms_stats.create_extended_stats(null,'product_properties','(isnumber(value))') from dual;
select dbms_stats.create_extended_stats(null,'filter_criterias','(isnumber(range_bottom))') from dual;
select dbms_stats.create_extended_stats(null,'filter_criterias','(isnumber(range_top))') from dual;
--Must re-gather table stats for the extended stats to work
begin
dbms_stats.gather_Table_stats(user, 'product_properties', no_invalidate => false);
dbms_stats.gather_Table_stats(user, 'filter_criterias', no_invalidate => false);
end;
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