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Now it's actually scanning all data for the second MATCH, this is being used now in text2cypher to get schema.
(root@nebula) [basketballplayer]> profile MATCH ()-[e:follow]->() WITH e limit 1 MATCH (m)-[e:follow]->(n) WHERE id(m) == src(e) AND id(n) == dst(e) RETURN "(:" + tags(m)[0] + ")-[:follow]->(:" + tags(n)[0] + ")" AS rels +----------------------------------+ | rels | +----------------------------------+ | "(:player)-[:follow]->(:player)" | +----------------------------------+ Got 1 rows (time spent 15.983ms/21.262208ms) Execution Plan (optimize time 2529 us) -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | id | name | dependencies | profiling data | operator info | -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | 17 | Project | 21 | { | outputVar: { | | | | | "execTime": "20(us)", | "colNames": [ | | | | | "rows": 1, | "rels" | | | | | "totalTime": "22(us)", | ], | | | | | "version": 0 | "type": "DATASET", | | | | | } | "name": "__Project_17" | | | | | | } | | | | | | inputVar: __Filter_16 | | | | | | columns: [ | | | | | | "((((\"(:\"+tags($m)[0])+\")-[:follow]->(:\")+tags($n)[0])+\")\") AS rels" | | | | | | ] | -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | 21 | HashInnerJoin | 26,32 | { | outputVar: { | | | | | "execTime": "110(us)", | "colNames": [ | | | | | "rows": 1, | "e", | | | | | "totalTime": "114(us)", | "m", | | | | | "version": 0 | "n" | | | | | } | ], | | | | | | "type": "DATASET", | | | | | | "name": "__Filter_16" | | | | | | } | | | | | | inputVar: { | | | | | | "rightVar": "__Project_14", | | | | | | "leftVar": "__Limit_8" | | | | | | } | | | | | | hashKeys: [ | | | | | | "_joinkey($-.e)" | | | | | | ] | | | | | | probeKeys: [ | | | | | | "_joinkey($-.e)" | | | | | | ] | | | | | | kind: InnerJoin | -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | 26 | Project | 27 | { | outputVar: { | | | | | "execTime": "30(us)", | "colNames": [ | | | | | "rows": 1, | "e" | | | | | "totalTime": "36(us)", | ], | | | | | "version": 0 | "type": "DATASET", | | | | | } | "name": "__Limit_8" | | | | | | } | | | | | | inputVar: __Limit_27 | | | | | | columns: [ | | | | | | "$-.e[0] AS e" | | | | | | ] | -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | 27 | Limit | 28 | { | outputVar: { | | | | | "execTime": "12(us)", | "colNames": [ | | | | | "rows": 1, | "__VAR_0", | | | | | "totalTime": "17(us)", | "e", | | | | | "version": 0 | "__VAR_1" | | | | | } | ], | | | | | | "type": "DATASET", | | | | | | "name": "__Limit_27" | | | | | | } | | | | | | inputVar: __AppendVertices_28 | | | | | | offset: 0 | | | | | | count: 1 | -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | 28 | AppendVertices | 30 | { | outputVar: { | | | | | "execTime": "277(us)", | "colNames": [ | | | | | "resp[0]": { | "e", | | | | | "exec": "611(us)", | "__VAR_1" | | | | | "host": "storaged0:9779", | ], | | | | | "total": "1479(us)" | "type": "DATASET", | | | | | }, | "name": "__AppendVertices_28" | | | | | "rows": 10, | } | | | | | "totalTime": "1924(us)", | inputVar: __Project_30 | | | | | "total_rpc": "1759(us)", | space: 2 | | | | | "version": 0 | dedup: true | | | | | } | limit: -1 | | | | | | filter: | | | | | | orderBy: [] | | | | | | src: none_direct_dst($-.e,$-.__VAR_0) | | | | | | props: [ | | | | | | { | | | | | | "props": [ | | | | | | "_tag" | | | | | | ], | | | | | | "tagId": 3 | | | | | | }, | | | | | | { | | | | | | "props": [ | | | | | | "_tag" | | | | | | ], | | | | | | "tagId": 4 | | | | | | } | | | | | | ] | | | | | | exprs: | | | | | | vertex_filter: | | | | | | if_track_previous_path: true | -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | 30 | Project | 29 | { | outputVar: { | | | | | "execTime": "80(us)", | "colNames": [ | | | | | "rows": 10, | "e" | | | | | "totalTime": "85(us)", | ], | | | | | "version": 0 | "type": "DATASET", | | | | | } | "name": "__Project_30" | | | | | | } | | | | | | inputVar: __ScanEdges_29 | | | | | | columns: [ | | | | | | "[EDGE] AS e" | | | | | | ] | -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | 29 | ScanEdges | 3 | { | outputVar: { | | | | | "execTime": "173(us)", | "colNames": [ | | | | | "resp[0]": { | "e" | | | | | "exec": "818(us)", | ], | | | | | "host": "storaged0:9779", | "type": "DATASET", | | | | | "total": "2004(us)" | "name": "__ScanEdges_29" | | | | | }, | } | | | | | "rows": 10, | inputVar: | | | | | "totalTime": "2237(us)", | space: 2 | | | | | "total_rpc": "2128(us)", | dedup: true | | | | | "version": 0 | limit: 1 | | | | | } | filter: | | | | | | orderBy: [] | | | | | | props: [ | | | | | | { | | | | | | "props": [ | | | | | | "_src", | | | | | | "_dst", | | | | | | "_type", | | | | | | "_rank" | | | | | | ], | | | | | | "type": 6 | | | | | | } | | | | | | ] | | | | | | exprs: | -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | 3 | Start | | { | outputVar: { | | | | | "execTime": "0(us)", | "colNames": [], | | | | | "rows": 0, | "type": "DATASET", | | | | | "totalTime": "75(us)", | "name": "__Start_3" | | | | | "version": 0 | } | | | | | } | | -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | 32 | Project | 35 | { | outputVar: { | | | | | "execTime": "125(us)", | "colNames": [ | | | | | "rows": 81, | "m", | | | | | "totalTime": "127(us)", | "e", | | | | | "version": 0 | "n" | | | | | } | ], | | | | | | "type": "DATASET", | | | | | | "name": "__Project_14" | | | | | | } | | | | | | inputVar: __Filter_31 | | | | | | columns: [ | | | | | | "$-.m AS m", | | | | | | "$-.e[0] AS e", | | | | | | "$-.n AS n" | | | | | | ] | -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | 35 | Filter | 34 | { | outputVar: { | | | | | "execTime": "131(us)", | "colNames": [ | | | | | "rows": 81, | "m", | | | | | "totalTime": "137(us)", | "e", | | | | | "version": 0 | "n" | | | | | } | ], | | | | | | "type": "DATASET", | | | | | | "name": "__Filter_31" | | | | | | } | | | | | | inputVar: __AppendVertices_34 | | | | | | condition: (id($-.n)==dst($-.e[0])) | | | | | | isStable: false | -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | 34 | AppendVertices | 33 | { | outputVar: { | | | | | "execTime": "546(us)", | "colNames": [ | | | | | "resp[0]": { | "m", | | | | | "exec": "607(us)", | "e", | | | | | "host": "storaged0:9779", | "n" | | | | | "total": "1674(us)" | ], | | | | | }, | "type": "DATASET", | | | | | "rows": 81, | "name": "__AppendVertices_34" | | | | | "totalTime": "2181(us)", | } | | | | | "total_rpc": "1824(us)", | inputVar: __Filter_33 | | | | | "version": 0 | space: 2 | | | | | } | dedup: true | | | | | | limit: -1 | | | | | | filter: | | | | | | orderBy: [] | | | | | | src: none_direct_dst($-.e,$-.m) | | | | | | props: [ | | | | | | { | | | | | | "props": [ | | | | | | "name", | | | | | | "age", | | | | | | "_tag" | | | | | | ], | | | | | | "tagId": 3 | | | | | | }, | | | | | | { | | | | | | "props": [ | | | | | | "name", | | | | | | "_tag" | | | | | | ], | | | | | | "tagId": 4 | | | | | | } | | | | | | ] | | | | | | exprs: | | | | | | vertex_filter: | | | | | | if_track_previous_path: true | -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | 33 | Filter | 12 | { | outputVar: { | | | | | "execTime": "108(us)", | "colNames": [ | | | | | "rows": 81, | "m", | | | | | "totalTime": "114(us)", | "e" | | | | | "version": 0 | ], | | | | | } | "type": "DATASET", | | | | | | "name": "__Filter_33" | | | | | | } | | | | | | inputVar: __Traverse_12 | | | | | | condition: (id($-.m)==src($-.e[0])) | | | | | | isStable: false | -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | 12 | Traverse | 23 | { | outputVar: { | | | | | "execTime": "140(us)", | "colNames": [ | | | | | "expandPostTaskTime": "57(us)", | "m", | | | | | "expandTaskRunTime": [ | "e" | | | | | 461 | ], | | | | | ], | "type": "DATASET", | | | | | "expandTime": "707(us)", | "name": "__Traverse_12" | | | | | "rows": 81, | } | | | | | "step[1]": { | inputVar: __Filter_10 | | | | | "storage": [ | space: 2 | | | | | { | dedup: true | | | | | "exec": "1235(us)", | limit: -1 | | | | | "host": "storaged0:9779", | filter: | | | | | "storage_detail": { | orderBy: [] | | | | | "GetNeighborsNode": "4366(us)", | src: $-._vid | | | | | "HashJoinNode": "3916(us)", | edgeTypes: [] | | | | | "RelNode": "4390(us)", | edgeDirection: OUT_EDGE | | | | | "SingleEdgeNode": "2842(us)", | vertexProps: [ | | | | | "TagNode": "742(us)" | { | | | | | }, | "props": [ | | | | | "total": "2922(us)", | "name", | | | | | "vertices": 81 | "age", | | | | | } | "_tag" | | | | | ], | ], | | | | | "total_rpc_time": "3222(us)" | "tagId": 3 | | | | | }, | }, | | | | | "totalTime": "4252(us)", | { | | | | | "version": 0 | "props": [ | | | | | } | "name", | | | | | | "_tag" | | | | | | ], | | | | | | "tagId": 4 | | | | | | } | | | | | | ] | | | | | | edgeProps: [ | | | | | | { | | | | | | "props": [ | | | | | | "_dst", | | | | | | "_type", | | | | | | "_rank" | | | | | | ], | | | | | | "type": 6 | | | | | | } | | | | | | ] | | | | | | statProps: | | | | | | exprs: | | | | | | random: false | | | | | | steps: 1..1 | | | | | | vertex filter: | | | | | | edge filter: | | | | | | if_track_previous_path: false | | | | | | first step filter: | | | | | | tag filter: | -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | 23 | ScanVertices | 11 | { | outputVar: { | | | | | "execTime": "273(us)", | "colNames": [ | | | | | "resp[0]": { | "_vid", | | | | | "exec": "2251(us)", | "team._tag", | | | | | "host": "storaged0:9779", | "player._tag" | | | | | "total": "3437(us)" | ], | | | | | }, | "type": "DATASET", | | | | | "rows": 81, | "name": "__Filter_10" | | | | | "totalTime": "4690(us)", | } | | | | | "total_rpc": "4533(us)", | inputVar: | | | | | "version": 0 | space: 2 | | | | | } | dedup: false | | | | | | limit: -1 | | | | | | filter: (team._tag IS NOT EMPTY OR player._tag IS NOT EMPTY) | | | | | | orderBy: [] | | | | | | props: [ | | | | | | { | | | | | | "props": [ | | | | | | "_tag" | | | | | | ], | | | | | | "tagId": 4 | | | | | | }, | | | | | | { | | | | | | "props": [ | | | | | | "_tag" | | | | | | ], | | | | | | "tagId": 3 | | | | | | } | | | | | | ] | | | | | | exprs: | -----+----------------+--------------+-------------------------------------------+------------------------------------------------------------------------------- | 11 | Start | | { | outputVar: { | | | | | "execTime": "0(us)", | "colNames": [], | | | | | "rows": 0, | "type": "DATASET", | | | | | "totalTime": "82(us)", | "name": "__Start_11" | | | | | "version": 0 | } | | | | | } | | -----+----------------+--------------+-------------------------------------------+-------------------------------------------------------------------------------
The text was updated successfully, but these errors were encountered:
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Now it's actually scanning all data for the second MATCH, this is being used now in text2cypher to get schema.
The text was updated successfully, but these errors were encountered: