版本
3.1.0
部署
3台节点（32c，128G），固态硬盘
问题类型
创建索引后查询速度很慢
nsql
CREATE EDGE INDEX g_g_links_source_index on g_g_links(f_data_source(30));
REBUILD EDGE INDEX g_g_links_source_index;
MATCH ()-[e:g_g_links{f_data_source:"GTRD"}]->() RETURN e limit 3（很慢）
数据量
顶点8万，边4千万
Got 3 rows (time spent 213618704/215292168 us)
Execution Plan (optimize time 114 us)
-----+----------------+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------
| id | name | dependencies | profiling data | operator info |
-----+----------------+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------
| 14 | Project | 12 | ver: 0, rows: 3, execTime: 7495us, totalTime: 7497us | outputVar: { |
| | | | | "colNames": [ |
| | | | | "e" |
| | | | | ], |
| | | | | "type": "DATASET", |
| | | | | "name": "__DataCollect_9" |
| | | | | } |
| | | | | inputVar: __Limit_12 |
| | | | | columns: [ |
| | | | | "$-.e[0] AS e" |
| | | | | ] |
-----+----------------+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------
| 12 | Limit | 5 | ver: 0, rows: 3, execTime: 14461118us, totalTime: 14461121us | outputVar: { |
| | | | | "colNames": [ |
| | | | | "__VAR_0", |
| | | | | "e", |
| | | | | "__VAR_1" |
| | | | | ], |
| | | | | "type": "DATASET", |
| | | | | "name": "__Limit_12" |
| | | | | } |
| | | | | inputVar: __AppendVertices_5 |
| | | | | offset: 0 |
| | | | | count: 3 |
-----+----------------+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------
| 5 | AppendVertices | 4 | { | outputVar: { |
| | | | ver: 0, rows: 9440908, execTime: 80086085us, totalTime: 80498761us | "colNames": [ |
| | | | "x.x.x.139":9779 exec/total: 428849(us)/452994(us) | "__VAR_0", |
| | | | total_rpc: 463577(us) | "e", |
| | | | "x.x.x.137":9779 exec/total: 240416(us)/273496(us) | "__VAR_1" |
| | | | "x.x.x.138":9779 exec/total: 151398(us)/162645(us) | ], |
| | | | } | "type": "DATASET", |
| | | | | "name": "__AppendVertices_5" |
| | | | | } |
| | | | | inputVar: __Traverse_4 |
| | | | | space: 11 |
| | | | | dedup: true |
| | | | | limit: -1 |
| | | | | filter: |
| | | | | orderBy: [] |
| | | | | src: none_direct_dst($-.e) |
| | | | | props: [ |
| | | | | { |
| | | | | "props": [ |
| | | | | "p_id", |
| | | | | "_tag" |
| | | | | ], |
| | | | | "tagId": 12 |
| | | | | }, |
| | | | | { |
| | | | | "props": [ |
| | | | | "g_id", |
| | | | | "_tag" |
| | | | | ], |
| | | | | "tagId": 13 |
| | | | | } |
| | | | | ] |
| | | | | exprs: |
| | | | | vertex_filter: |
| | | | | if_track_previous_path: true |
-----+----------------+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------
| 4 | Traverse | 2 | { | outputVar: { |
| | | | ver: 0, rows: 9440908, execTime: 81043253us, totalTime: 114374231us | "colNames": [ |
| | | | step 1: { | "__VAR_0", |
| | | | {"x.x.x.139":9779 exec/total/vertices: 19225341(us)/33322342(us)/456, | "e" |
| | | | total_rpc_time: 33322689(us) | ], |
| | | | storage_detail: {GetNeighborsNode:19224852(us),HashJoinNode:17035(us),RelNode:19224912(us),SingleEdgeNode:9421(us),TagNode:6706(us)} | "type": "DATASET", |
| | | | }{"x.x.x.138":9779 exec/total/vertices: 11358007(us)/19340788(us)/231, | "name": "__Traverse_4" |
| | | | total_rpc_time: 33322689(us) | } |
| | | | storage_detail: {GetNeighborsNode:11357657(us),HashJoinNode:9490(us),RelNode:11357699(us),SingleEdgeNode:5007(us),TagNode:3956(us)} | inputVar: __Dedup_2 |
| | | | }{"x.x.x.137":9779 exec/total/vertices: 16237584(us)/28277648(us)/441, | space: 11 |
| | | | total_rpc_time: 33322689(us) | dedup: true |
| | | | storage_detail: {GetNeighborsNode:16237113(us),HashJoinNode:16353(us),RelNode:16237169(us),SingleEdgeNode:9295(us),TagNode:6217(us)} | limit: -1 |
| | | | } | filter: |
| | | | } | orderBy: [] |
| | | | } | src: $_vid |
| | | | | edgeTypes: [] |
| | | | | edgeDirection: OUT_EDGE |
| | | | | vertexProps: [ |
| | | | | { |
| | | | | "props": [ |
| | | | | "p_id", |
| | | | | "_tag" |
| | | | | ], |
| | | | | "tagId": 12 |
| | | | | }, |
| | | | | { |
| | | | | "props": [ |
| | | | | "g_id", |
| | | | | "_tag" |
| | | | | ], |
| | | | | "tagId": 13 |
| | | | | } |
| | | | | ] |
| | | | | edgeProps: [ |
| | | | | { |
| | | | | "props": [ |
| | | | | "_src", |
| | | | | "_type", |
| | | | | "_rank", |
| | | | | "_dst", |
| | | | | "f_source_species", |
| | | | | "f_data_source", |
| | | | | ], |
| | | | | "type": "14" |
| | | | | } |
| | | | | ] |
| | | | | statProps: |
| | | | | exprs: |
| | | | | random: false |
| | | | | steps: |
| | | | | vertex filter: |
| | | | | edge filter: (*.f_data_source=="GTRD") |
| | | | | if_track_previous_path: false |
-----+----------------+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------
| 2 | Dedup | 10 | ver: 0, rows: 1128, execTime: 781242us, totalTime: 781246us | outputVar: { |
| | | | | "colNames": [ |
| | | | | "_vid" |
| | | | | ], |
| | | | | "type": "DATASET", |
| | | | | "name": "__Dedup_2" |
| | | | | } |
| | | | | inputVar: __IndexScan_1 |
-----+----------------+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------
| 10 | IndexScan | 3 | { | outputVar: { |
| | | | ver: 0, rows: 9440908, execTime: 0us, totalTime: 3483185us | "colNames": [ |
| | | | "x.x.x.139":9779 exec/total: 2538273(us)/3003972(us) | "_vid" |
| | | | "x.x.x.138":9779 exec/total: 1672100(us)/1993147(us) | ], |
| | | | "x.x.x.137":9779 exec/total: 2088428(us)/2478427(us) | "type": "DATASET", |
| | | | storage_detail: {IndexEdgeScanNode(IndexID=18, Path=(f_data_source="GTRD", )):1283452(us),IndexLimitNode(limit=9223372036854775807):1906061(us),IndexProjectionNode(projectColumn=[_src]):1791979(us)} | "name": "__IndexScan_1" |
| | | | } | } |
| | | | | inputVar: |
| | | | | space: 11 |
| | | | | dedup: false |
| | | | | limit: 9223372036854775807 |
| | | | | filter: |
| | | | | orderBy: [] |
| | | | | schemaId: 14 |
| | | | | isEdge: true |
| | | | | returnCols: [ |
| | | | | "_src" |
| | | | | ] |
| | | | | indexCtx: [ |
| | | | | { |
| | | | | "columnHints": [ |
| | | | | { |
| | | | | "includeEnd": "false", |
| | | | | "includeBegin": "true", |
| | | | | "endValue": "__EMPTY__", |
| | | | | "beginValue": "\"GTRD\"", |
| | | | | "scanType": "PREFIX", |
| | | | | "column": "f_data_source" |
| | | | | } |
| | | | | ], |
| | | | | "filter": "", |
| | | | | "index_id": 18 |
| | | | | } |
| | | | | ] |
-----+----------------+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------
| 3 | Start | | ver: 0, rows: 0, execTime: 0us, totalTime: 20us | outputVar: { |
| | | | | "colNames": [], |
| | | | | "type": "DATASET", |
| | | | | "name": "__Start_3" |
| | | | | } |
-----+----------------+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------
Tue, 07 Jun 2022 20:51:16 CST
