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Add side-by-side examples for stream and write mode
Co-authored-by: Veselin Nikolov <[email protected]>
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‎doc/asciidoc/migration/migration-triangle-count.adoc

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@@ -9,6 +9,7 @@ The `alpha` procedures from the namespace `algo.triangleCount` are being replace
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Everything relating to clustering coefficients has been extracted into a separate algorithm backing `gds.localClusteringCoefficient` procedures.
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To compute both triangle count and local clustering coefficient values multiple procedures will be necessary.
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The triangle enumeration procedure `algo.triangles.stream()` has been renamed to `gds.alpha.triangles()`.
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.Common changes in Configuration
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[opts=header]
@@ -43,3 +44,138 @@ To compute both triangle count and local clustering coefficient values multiple
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|===
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.TriangleCount Stream Mode
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[opts=header,cols="1a,1a"]
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|===
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|Graph Algorithms v3.5 |Graph Data Science v1.2
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2+| Streaming triangle counts over named graph:
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|
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[source, cypher]
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----
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CALL algo.triangleCount.stream(null, null, {graph: 'myGraph'})
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YIELD nodeId, triangles
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----
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|
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[source, cypher]
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----
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CALL gds.triangleCount.stream('myGraph')
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YIELD nodeId, triangleCount
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----
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2+| Streaming local clustering coefficients over named graph:
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|
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[source, cypher]
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----
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CALL algo.triangleCount.stream(null, null, {graph: 'myGraph'})
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YIELD nodeId, coefficient
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----
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|
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[source, cypher]
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----
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CALL gds.localClusteringCoefficient.stream('myGraph')
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YIELD nodeId, localClusteringCoefficient
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----
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2+| Streaming both triangle counts and local clustering coefficients:
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|
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[source, cypher]
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----
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CALL algo.triangleCount.stream(null, null, {graph: 'myGraph'})
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YIELD nodeId, triangles, coefficient
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----
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|
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[source, cypher]
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----
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CALL gds.triangleCount.mutate('myGraph', {mutateProperty: 'tc'})
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YIELD globalTriangleCount
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CALL gds.localClusteringCoefficient.stream('myGraph', {triangleCountProperty: 'tc'})
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YIELD nodeId, localClusteringCoefficient
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WITH nodeId, localClusteringCoefficient, gds.util.nodeProperty('myGraph', nodeId, 'tc') AS triangleCount
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RETURN nodeId, triangleCount, localClusteringCoefficient
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----
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2+| Streaming triangle counts over anonymous graph:
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|
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[source, cypher]
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----
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CALL algo.triangleCount.stream(
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'MyLabel',
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'MY_RELATIONSHIP_TYPE'
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)
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----
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|
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[source, cypher]
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----
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CALL gds.triangleCount.stream({
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nodeProjection: 'MyLabel',
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relationshipProjection: { MY_RELATIONSHIP_TYPE: { orientation: 'UNDIRECTED' } }
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})
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----
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|===
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.TriangleCount Write Mode
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[opts=header,cols="1a,1a"]
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|===
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|Graph Algorithms v3.5 |Graph Data Science v1.2
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2+| Writing triangle counts from named graph:
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|
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[source, cypher]
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----
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CALL algo.triangleCount(null, null, {
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graph: 'myGraph',
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write: true,
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writeProperty: 'tc'
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}) YIELD nodeCount, triangleCount
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----
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|
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[source, cypher]
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----
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CALL gds.triangleCount.write('myGraph', {writeProperty: 'tc'})
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YIELD nodeCount, globalTriangleCount
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----
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2+| Writing local clustering coefficients from named graph:
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|
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[source, cypher]
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----
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CALL algo.triangleCount(null, null, {
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graph: 'myGraph',
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write: true,
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clusteringCoefficientProperty: 'lcc'
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}) YIELD nodeCount, averageClusteringCoefficient
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----
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|
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[source, cypher]
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----
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CALL gds.localClusteringCoefficient.write('myGraph', {writeProperty: 'lcc'})
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YIELD nodeCount, averageClusteringCoefficient
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----
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2+| Writing both triangle counts and local clustering coefficients:
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|
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[source, cypher]
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----
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CALL algo.triangleCount(null, null, {
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graph: 'myGraph',
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write: true,
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writeProperty: 'tc',
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clusteringCoefficientProperty: 'lcc'
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}) YIELD nodeCount, triangleCount, averageClusteringCoefficient
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----
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|
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[source, cypher]
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----
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CALL gds.triangleCount.mutate('myGraph', {
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mutateProperty: 'tc'
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}) YIELD globalTriangleCount
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CALL gds.localClusteringCoefficient.write('myGraph', {
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triangleCountProperty: 'tc', writeProperty: 'lcc'
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}) YIELD nodeCount, averageClusteringCoefficient
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CALL gds.graph.writeNodeProperties('myGraph', ['tc'])
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YIELD propertiesWritten
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RETURN nodeCount, globalTriangleCount, averageClusteringCoefficient
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----
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|===

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