Couchbase通过重新调整空结果来订购
我使用N1QL以以下方式查询我的数据库:Couchbase通过重新调整空结果来订购,couchbase,n1ql,Couchbase,N1ql,我使用N1QL以以下方式查询我的数据库: SELECT sum(l.lo_revenue) as revenue, o.d_year, p.p_brand1 from (SELECT p_brand1, lineorder from part where p_brand1='MFGR#2221') as p UNNEST p.lineorder l UNNEST l.supplier s UNNEST l.orderdate o where s.s_region='EUROPE' group b
SELECT sum(l.lo_revenue) as revenue, o.d_year, p.p_brand1 from (SELECT p_brand1, lineorder from part where p_brand1='MFGR#2221') as p UNNEST p.lineorder l UNNEST l.supplier s UNNEST l.orderdate o
where s.s_region='EUROPE'
group by o.d_year, p.p_brand1
order by o.d_year, p.p_brand1
limit 5;
但它返回的收入为空
如果我不按顺序进行查询,它会给出正确的答案,但没有排序,如下所示:
SELECT sum(l.lo_revenue) as revenue, o.d_year, p.p_brand1 from (SELECT p_brand1, lineorder from part where p_brand1='MFGR#2221') as p UNNEST p.lineorder l UNNEST l.supplier s UNNEST l.orderdate o
where s.s_region='EUROPE'
group by o.d_year, p.p_brand1
order by o.d_year, p.p_brand1
limit 5;
{
"p_partkey": 1,
"p_name": "lace spring",
"p_mfgr": "MFGR#1",
"p_category": "MFGR#11",
"p_brand1": "MFGR#1121",
"p_color": "goldenrod",
"p_type": "PROMO BURNISHED COPPER",
"p_size": 7,
"p_container": "JUMBO PKG",
"lineorder": [{
"lo_orderkey": 504065,
"lo_linenumber": 6,
"lo_custkey": 14704,
"lo_partkey": 1,
"lo_suppkey": 557,
"lo_orderdate": 19920603,
"lo_orderpriority": "5-LOW",
"lo_shippriority": "0",
"lo_quantity": 49,
"lo_extendedprice": 4414900,
"lo_ordtotalprice": 26849571,
"lo_discount": 3,
"lo_revenue": 4282453,
"lo_supplycost": 54060,
"lo_tax": 0,
"lo_commitdate": 19920712,
"lo_shipmode": "RAIL",
"orderdate": [{
"d_datekey": 19920603,
"d_date": "June 3, 1992",
"d_dayofweek": "Thursday",
"d_month": "June",
"d_year": 1992,
"d_yearmonthnum": 199206,
"d_yearmonth": "jun\/92",
"d_daynuminweek": 5,
"d_daynuminmonth": 3,
"d_daynuminyear": 155,
"d_monthnuminyear": 6,
"d_weeknuminyear": 23,
"d_sellingseason": "Summer",
"d_lastdayinweekfl": false,
"d_lastdayinmonthfl": true,
"d_holidayfl": false,
"d_weekdayfl": true
}],
"commitdate": [{
"d_datekey": 19920712,
"d_date": "July 12, 1992",
"d_dayofweek": "Monday",
"d_month": "July",
"d_year": 1992,
"d_yearmonthnum": 199207,
"d_yearmonth": "jul\/92",
"d_daynuminweek": 2,
"d_daynuminmonth": 12,
"d_daynuminyear": 194,
"d_monthnuminyear": 7,
"d_weeknuminyear": 28,
"d_sellingseason": "Summer",
"d_lastdayinweekfl": false,
"d_lastdayinmonthfl": true,
"d_holidayfl": false,
"d_weekdayfl": true
}],
"customer": [{
"c_custkey": 14704,
"c_name": "Customer#000014704",
"c_address": "uZaxFV8o9IGgayUEWtPU1Xmw",
"c_city": "JORDAN 5",
"c_nation": "JORDAN",
"c_region": "MIDDLE EAST",
"c_phone": "23-688-772-4209",
"c_mktsegment": "BUILDING"
}],
"supplier": [{
"s_suppkey": 557,
"s_name": "Supplier#000000557",
"s_address": "jj0wUYh9K3fG5Jh",
"s_city": "CANADA 5",
"s_nation": "CANADA",
"s_region": "AMERICA",
"s_phone": "13-390-153-6699"
}]
}, {
"lo_orderkey": ...}
我也可以通过这种方式进行查询,得到正确答案,排序如下:
SELECT SUM(l.lo_revenue), o.d_year, p.p_brand1
from part p UNNEST p.lineorder l UNNEST l.supplier s UNNEST l.orderdate o
where p.p_brand1='MFGR#2221' and s.s_region='EUROPE'
group by o.d_year, p.p_brand1
order by o.d_year, p.p_brand1;
但是这需要很多时间,我想在不测试之前过滤文档,而不是不测试所有文档。是虫子,还是我做错了什么
我的数据如下:
SELECT sum(l.lo_revenue) as revenue, o.d_year, p.p_brand1 from (SELECT p_brand1, lineorder from part where p_brand1='MFGR#2221') as p UNNEST p.lineorder l UNNEST l.supplier s UNNEST l.orderdate o
where s.s_region='EUROPE'
group by o.d_year, p.p_brand1
order by o.d_year, p.p_brand1
limit 5;
{
"p_partkey": 1,
"p_name": "lace spring",
"p_mfgr": "MFGR#1",
"p_category": "MFGR#11",
"p_brand1": "MFGR#1121",
"p_color": "goldenrod",
"p_type": "PROMO BURNISHED COPPER",
"p_size": 7,
"p_container": "JUMBO PKG",
"lineorder": [{
"lo_orderkey": 504065,
"lo_linenumber": 6,
"lo_custkey": 14704,
"lo_partkey": 1,
"lo_suppkey": 557,
"lo_orderdate": 19920603,
"lo_orderpriority": "5-LOW",
"lo_shippriority": "0",
"lo_quantity": 49,
"lo_extendedprice": 4414900,
"lo_ordtotalprice": 26849571,
"lo_discount": 3,
"lo_revenue": 4282453,
"lo_supplycost": 54060,
"lo_tax": 0,
"lo_commitdate": 19920712,
"lo_shipmode": "RAIL",
"orderdate": [{
"d_datekey": 19920603,
"d_date": "June 3, 1992",
"d_dayofweek": "Thursday",
"d_month": "June",
"d_year": 1992,
"d_yearmonthnum": 199206,
"d_yearmonth": "jun\/92",
"d_daynuminweek": 5,
"d_daynuminmonth": 3,
"d_daynuminyear": 155,
"d_monthnuminyear": 6,
"d_weeknuminyear": 23,
"d_sellingseason": "Summer",
"d_lastdayinweekfl": false,
"d_lastdayinmonthfl": true,
"d_holidayfl": false,
"d_weekdayfl": true
}],
"commitdate": [{
"d_datekey": 19920712,
"d_date": "July 12, 1992",
"d_dayofweek": "Monday",
"d_month": "July",
"d_year": 1992,
"d_yearmonthnum": 199207,
"d_yearmonth": "jul\/92",
"d_daynuminweek": 2,
"d_daynuminmonth": 12,
"d_daynuminyear": 194,
"d_monthnuminyear": 7,
"d_weeknuminyear": 28,
"d_sellingseason": "Summer",
"d_lastdayinweekfl": false,
"d_lastdayinmonthfl": true,
"d_holidayfl": false,
"d_weekdayfl": true
}],
"customer": [{
"c_custkey": 14704,
"c_name": "Customer#000014704",
"c_address": "uZaxFV8o9IGgayUEWtPU1Xmw",
"c_city": "JORDAN 5",
"c_nation": "JORDAN",
"c_region": "MIDDLE EAST",
"c_phone": "23-688-772-4209",
"c_mktsegment": "BUILDING"
}],
"supplier": [{
"s_suppkey": 557,
"s_name": "Supplier#000000557",
"s_address": "jj0wUYh9K3fG5Jh",
"s_city": "CANADA 5",
"s_nation": "CANADA",
"s_region": "AMERICA",
"s_phone": "13-390-153-6699"
}]
}, {
"lo_orderkey": ...}
这是explain的输出,它显示order by函数,但返回null:
{
"requestID": "654ee29a-69b9-437a-9f0e-242ac936b4f7",
"signature": "json",
"results": [
{
"#operator": "Sequence",
"~children": [
{
"#operator": "Sequence",
"~children": [
{
"#operator": "Sequence",
"~children": [
{
"#operator": "PrimaryScan",
"index": "#primary",
"keyspace": "part",
"namespace": "default",
"using": "gsi"
},
{
"#operator": "Parallel",
"~child": {
"#operator": "Sequence",
"~children": [
{
"#operator": "Fetch",
"keyspace": "part",
"namespace": "default"
},
{
"#operator": "Filter",
"condition": "((`part`.`p_brand1`) = \"MFGR#1121\")"
},
{
"#operator": "InitialProject",
"result_terms": [
{
"expr": "(`part`.`p_brand1`)"
},
{
"expr": "(`part`.`lineorder`)"
}
]
}
]
}
}
]
},
{
"#operator": "Alias",
"as": "p"
},
{
"#operator": "Parallel",
"~child": {
"#operator": "Sequence",
"~children": [
{
"#operator": "Unnest",
"as": "l",
"expr": "(`p`.`lineorder`)"
},
{
"#operator": "Unnest",
"as": "s",
"expr": "(`l`.`supplier`)"
},
{
"#operator": "Unnest",
"as": "o",
"expr": "(`l`.`orderdate`)"
},
{
"#operator": "Filter",
"condition": "((`s`.`s_region`) = \"AMERICA\")"
},
{
"#operator": "InitialGroup",
"aggregates": [
"sum((`l`.`lo_revenue`))"
],
"group_keys": [
"(`o`.`d_year`)",
"(`p`.`p_brand1`)"
]
}
]
}
},
{
"#operator": "IntermediateGroup",
"aggregates": [
"sum((`l`.`lo_revenue`))"
],
"group_keys": [
"(`o`.`d_year`)",
"(`p`.`p_brand1`)"
]
},
{
"#operator": "FinalGroup",
"aggregates": [
"sum((`l`.`lo_revenue`))"
],
"group_keys": [
"(`o`.`d_year`)",
"(`p`.`p_brand1`)"
]
},
{
"#operator": "Parallel",
"~child": {
"#operator": "Sequence",
"~children": [
{
"#operator": "InitialProject",
"result_terms": [
{
"as": "revenue",
"expr": "sum((`l`.`lo_revenue`))"
},
{
"as": "year",
"expr": "(`o`.`d_year`)"
},
{
"as": "p_brand1",
"expr": "(`p`.`p_brand1`)"
}
]
}
]
}
}
]
},
{
"#operator": "Order",
"sort_terms": [
{
"expr": "(`o`.`d_year`)"
},
{
"expr": "(`p`.`p_brand1`)"
}
]
},
{
"#operator": "FinalProject"
}
]
}
],
"status": "success",
"metrics": {
"elapsedTime": "8.921246ms",
"executionTime": "8.838345ms",
"resultCount": 1,
"resultSize": 6915
}
}
遵循以下说明,无需命令:
cbq> EXPLAIN
> {CT SUM(l.lo_revenue) as revenue, o.d_year as year, p.p_brand1 as p_brand1
> {1121') as p UNNEST p.lineorder l UNNEST l.supplier s UNNEST l.orderdate o
> where s.s_region='AMERICA'
> group by o.d_year, p.p_brand1
> ;
{
"requestID": "160cbad9-1d32-4d67-9c94-1623bba27d51",
"signature": "json",
"results": [
{
"#operator": "Sequence",
"~children": [
{
"#operator": "Sequence",
"~children": [
{
"#operator": "PrimaryScan",
"index": "#primary",
"keyspace": "part",
"namespace": "default",
"using": "gsi"
},
{
"#operator": "Parallel",
"~child": {
"#operator": "Sequence",
"~children": [
{
"#operator": "Fetch",
"keyspace": "part",
"namespace": "default"
},
{
"#operator": "Filter",
"condition": "((`part`.`p_brand1`) = \"MFGR#1121\")"
},
{
"#operator": "InitialProject",
"result_terms": [
{
"expr": "(`part`.`p_brand1`)"
},
{
"expr": "(`part`.`lineorder`)"
}
]
},
{
"#operator": "FinalProject"
}
]
}
}
]
},
{
"#operator": "Alias",
"as": "p"
},
{
"#operator": "Parallel",
"~child": {
"#operator": "Sequence",
"~children": [
{
"#operator": "Unnest",
"as": "l",
"expr": "(`p`.`lineorder`)"
},
{
"#operator": "Unnest",
"as": "s",
"expr": "(`l`.`supplier`)"
},
{
"#operator": "Unnest",
"as": "o",
"expr": "(`l`.`orderdate`)"
},
{
"#operator": "Filter",
"condition": "((`s`.`s_region`) = \"AMERICA\")"
},
{
"#operator": "InitialGroup",
"aggregates": [
"sum((`l`.`lo_revenue`))"
],
"group_keys": [
"(`o`.`d_year`)",
"(`p`.`p_brand1`)"
]
}
]
}
},
{
"#operator": "IntermediateGroup",
"aggregates": [
"sum((`l`.`lo_revenue`))"
],
"group_keys": [
"(`o`.`d_year`)",
"(`p`.`p_brand1`)"
]
},
{
"#operator": "FinalGroup",
"aggregates": [
"sum((`l`.`lo_revenue`))"
],
"group_keys": [
"(`o`.`d_year`)",
"(`p`.`p_brand1`)"
]
},
{
"#operator": "Parallel",
"~child": {
"#operator": "Sequence",
"~children": [
{
"#operator": "InitialProject",
"result_terms": [
{
"as": "revenue",
"expr": "sum((`l`.`lo_revenue`))"
},
{
"as": "year",
"expr": "(`o`.`d_year`)"
},
{
"as": "p_brand1",
"expr": "(`p`.`p_brand1`)"
}
]
},
{
"#operator": "FinalProject"
}
]
}
}
]
}
],
"status": "success",
"metrics": {
"elapsedTime": "10.661133ms",
"executionTime": "10.575926ms",
"resultCount": 1,
"resultSize": 5600
}
}
子查询中缺少FinalProject。即将发布的4.5测试版中将包含此修复程序。ORDER BY不应更改结果值,因此这可能是一个bug。您使用的是什么版本的Couchbase,能否将EXPLAIN的输出添加到您的问题中?您是否也可以在CB 4.1和/或4.5 DP中尝试此功能。@geraldss谢谢您的帮助,我已经在使用CB 4.5企业版了。我已经发布了我查询的解释结果。我们正在查看。如果您注意到我已将查询更改为使用另一台具有次要数据库的计算机搜索另一个数据,并且它也返回null,那么您是否可以在没有ORDER BY的情况下发布EXPLAIN的输出?@geraldss。同样的问题。我已经更正了第一个解释(我第一次在这里解释时没有加和)。你能给这个答案添加更多细节吗?你在回答什么问题?你的两句话有什么关系?什么的4.5测试版?@vsr何时会发生?@BPS,修复程序在这里:JIRA票据在这里:。Couchbase 4.5 Beta版将在几周内推出,包括此修复程序。如果我理解,您只需在其代码上添加一行代码:this.delayProjection=false。我可以在我的沙发上做吗。哪个文件?我没有找到任何名为planner的文件夹。或者我必须等待4.5测试版?等待测试版更安全。