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optimize and more like Scala #89

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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,7 @@ object AlgoPerformanceTest {
.builder()
.withMetaAddress("127.0.0.0.1:9559")
.withTimeout(6000)
.withConenctionRetry(2)
.withConnectionRetry(2)
.build()
val nebulaReadEdgeConfig: ReadNebulaConfig = ReadNebulaConfig
.builder()
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ object DeepQueryTest {
.builder()
.withMetaAddress("192.168.15.5:9559")
.withTimeout(6000)
.withConenctionRetry(2)
.withConnectionRetry(2)
.build()
val nebulaReadEdgeConfig: ReadNebulaConfig = ReadNebulaConfig
.builder()
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -67,7 +67,7 @@ object ReadData {
.builder()
.withMetaAddress("127.0.0.1:9559")
.withTimeout(6000)
.withConenctionRetry(2)
.withConnectionRetry(2)
.build()
val nebulaReadEdgeConfig: ReadNebulaConfig = ReadNebulaConfig
.builder()
Expand Down
211 changes: 60 additions & 151 deletions nebula-algorithm/src/main/scala/com/vesoft/nebula/algorithm/Main.scala
Original file line number Diff line number Diff line change
Expand Up @@ -6,47 +6,10 @@
package com.vesoft.nebula.algorithm

import com.vesoft.nebula.algorithm.config.Configs.Argument
import com.vesoft.nebula.algorithm.config.{
AlgoConfig,
BetweennessConfig,
BfsConfig,
CcConfig,
CoefficientConfig,
Configs,
DfsConfig,
HanpConfig,
JaccardConfig,
KCoreConfig,
LPAConfig,
LouvainConfig,
Node2vecConfig,
PRConfig,
ShortestPathConfig,
SparkConfig,
DegreeStaticConfig
}
import com.vesoft.nebula.algorithm.lib.{
BetweennessCentralityAlgo,
BfsAlgo,
ClosenessAlgo,
ClusteringCoefficientAlgo,
ConnectedComponentsAlgo,
DegreeStaticAlgo,
DfsAlgo,
GraphTriangleCountAlgo,
HanpAlgo,
JaccardAlgo,
KCoreAlgo,
LabelPropagationAlgo,
LouvainAlgo,
Node2vecAlgo,
PageRankAlgo,
ShortestPathAlgo,
StronglyConnectedComponentsAlgo,
TriangleCountAlgo
}
import com.vesoft.nebula.algorithm.reader.{CsvReader, JsonReader, NebulaReader}
import com.vesoft.nebula.algorithm.writer.{CsvWriter, NebulaWriter, TextWriter}
import com.vesoft.nebula.algorithm.config._
import com.vesoft.nebula.algorithm.lib._
import com.vesoft.nebula.algorithm.reader.{CsvReader, DataReader, JsonReader, NebulaReader}
import com.vesoft.nebula.algorithm.writer.{AlgoWriter, CsvWriter, NebulaWriter, TextWriter}
import org.apache.commons.math3.ode.UnknownParameterException
import org.apache.log4j.Logger
import org.apache.spark.sql.{DataFrame, Dataset, Row, SparkSession}
Expand Down Expand Up @@ -114,26 +77,8 @@ object Main {
private[this] def createDataSource(spark: SparkSession,
configs: Configs,
partitionNum: String): DataFrame = {
val dataSource = configs.dataSourceSinkEntry.source
val dataSet: Dataset[Row] = dataSource.toLowerCase match {
case "nebula" => {
val reader = new NebulaReader(spark, configs, partitionNum)
reader.read()
}
case "nebula-ngql" => {
val reader = new NebulaReader(spark, configs, partitionNum)
reader.readNgql()
}
case "csv" => {
val reader = new CsvReader(spark, configs, partitionNum)
reader.read()
}
case "json" => {
val reader = new JsonReader(spark, configs, partitionNum)
reader.read()
}
}
dataSet
val dataSource = DataReader.make(configs)
dataSource.read(spark, configs, partitionNum)
}

/**
Expand All @@ -149,99 +94,63 @@ object Main {
configs: Configs,
dataSet: DataFrame): DataFrame = {
val hasWeight = configs.dataSourceSinkEntry.hasWeight
val algoResult = {
algoName.toLowerCase match {
case "pagerank" => {
val pageRankConfig = PRConfig.getPRConfig(configs)
PageRankAlgo(spark, dataSet, pageRankConfig, hasWeight)
}
case "louvain" => {
val louvainConfig = LouvainConfig.getLouvainConfig(configs)
LouvainAlgo(spark, dataSet, louvainConfig, hasWeight)
}
case "connectedcomponent" => {
val ccConfig = CcConfig.getCcConfig(configs)
ConnectedComponentsAlgo(spark, dataSet, ccConfig, hasWeight)
}
case "labelpropagation" => {
val lpaConfig = LPAConfig.getLPAConfig(configs)
LabelPropagationAlgo(spark, dataSet, lpaConfig, hasWeight)
}
case "shortestpaths" => {
val spConfig = ShortestPathConfig.getShortestPathConfig(configs)
ShortestPathAlgo(spark, dataSet, spConfig, hasWeight)
}
case "degreestatic" => {
val dsConfig = DegreeStaticConfig.getDegreeStaticConfig(configs)
DegreeStaticAlgo(spark, dataSet, dsConfig)
}
case "kcore" => {
val kCoreConfig = KCoreConfig.getKCoreConfig(configs)
KCoreAlgo(spark, dataSet, kCoreConfig)
}
case "stronglyconnectedcomponent" => {
val ccConfig = CcConfig.getCcConfig(configs)
StronglyConnectedComponentsAlgo(spark, dataSet, ccConfig, hasWeight)
}
case "betweenness" => {
val betweennessConfig = BetweennessConfig.getBetweennessConfig(configs)
BetweennessCentralityAlgo(spark, dataSet, betweennessConfig, hasWeight)
}
case "trianglecount" => {
TriangleCountAlgo(spark, dataSet)
}
case "graphtrianglecount" => {
GraphTriangleCountAlgo(spark, dataSet)
}
case "clusteringcoefficient" => {
val coefficientConfig = CoefficientConfig.getCoefficientConfig(configs)
ClusteringCoefficientAlgo(spark, dataSet, coefficientConfig)
}
case "closeness" => {
ClosenessAlgo(spark, dataSet, hasWeight)
}
case "hanp" => {
val hanpConfig = HanpConfig.getHanpConfig(configs)
HanpAlgo(spark, dataSet, hanpConfig, hasWeight)
}
case "node2vec" => {
val node2vecConfig = Node2vecConfig.getNode2vecConfig(configs)
Node2vecAlgo(spark, dataSet, node2vecConfig, hasWeight)
}
case "bfs" => {
val bfsConfig = BfsConfig.getBfsConfig(configs)
BfsAlgo(spark, dataSet, bfsConfig)
}
case "dfs" => {
val dfsConfig = DfsConfig.getDfsConfig(configs)
DfsAlgo(spark, dataSet, dfsConfig)
}
case "jaccard" => {
val jaccardConfig = JaccardConfig.getJaccardConfig(configs)
JaccardAlgo(spark, dataSet, jaccardConfig)
}
case _ => throw new UnknownParameterException("unknown executeAlgo name.")
}
AlgorithmType.mapping.getOrElse(algoName.toLowerCase, throw new UnknownParameterException("unknown executeAlgo name.")) match {
case AlgorithmType.Bfs =>
val bfsConfig = BfsConfig.getBfsConfig(configs)
BfsAlgo(spark, dataSet, bfsConfig)
case AlgorithmType.Closeness =>
ClosenessAlgo(spark, dataSet, hasWeight)
case AlgorithmType.ClusteringCoefficient =>
val coefficientConfig = CoefficientConfig.getCoefficientConfig(configs)
ClusteringCoefficientAlgo(spark, dataSet, coefficientConfig)
case AlgorithmType.ConnectedComponents =>
val ccConfig = CcConfig.getCcConfig(configs)
ConnectedComponentsAlgo(spark, dataSet, ccConfig, hasWeight)
case AlgorithmType.DegreeStatic =>
val dsConfig = DegreeStaticConfig.getDegreeStaticConfig(configs)
DegreeStaticAlgo(spark, dataSet, dsConfig)
case AlgorithmType.Dfs =>
val dfsConfig = DfsConfig.getDfsConfig(configs)
DfsAlgo(spark, dataSet, dfsConfig)
case AlgorithmType.GraphTriangleCount =>
GraphTriangleCountAlgo(spark, dataSet)
case AlgorithmType.Hanp =>
val hanpConfig = HanpConfig.getHanpConfig(configs)
HanpAlgo(spark, dataSet, hanpConfig, hasWeight)
case AlgorithmType.Jaccard =>
val jaccardConfig = JaccardConfig.getJaccardConfig(configs)
JaccardAlgo(spark, dataSet, jaccardConfig)
case AlgorithmType.KCore =>
val kCoreConfig = KCoreConfig.getKCoreConfig(configs)
KCoreAlgo(spark, dataSet, kCoreConfig)
case AlgorithmType.LabelPropagation =>
val lpaConfig = LPAConfig.getLPAConfig(configs)
LabelPropagationAlgo(spark, dataSet, lpaConfig, hasWeight)
case AlgorithmType.Louvain =>
val louvainConfig = LouvainConfig.getLouvainConfig(configs)
LouvainAlgo(spark, dataSet, louvainConfig, hasWeight)
case AlgorithmType.Node2vec =>
val node2vecConfig = Node2vecConfig.getNode2vecConfig(configs)
Node2vecAlgo(spark, dataSet, node2vecConfig, hasWeight)
case AlgorithmType.PageRank =>
val pageRankConfig = PRConfig.getPRConfig(configs)
PageRankAlgo(spark, dataSet, pageRankConfig, hasWeight)
case AlgorithmType.ShortestPath =>
val spConfig = ShortestPathConfig.getShortestPathConfig(configs)
ShortestPathAlgo(spark, dataSet, spConfig, hasWeight)
case AlgorithmType.StronglyConnectedComponents =>
val ccConfig = CcConfig.getCcConfig(configs)
StronglyConnectedComponentsAlgo(spark, dataSet, ccConfig, hasWeight)
case AlgorithmType.TriangleCount =>
TriangleCountAlgo(spark, dataSet)
case AlgorithmType.BetweennessCentrality =>
val betweennessConfig = BetweennessConfig.getBetweennessConfig(configs)
BetweennessCentralityAlgo(spark, dataSet, betweennessConfig, hasWeight)
}
algoResult
}

private[this] def saveAlgoResult(algoResult: DataFrame, configs: Configs): Unit = {
val dataSink = configs.dataSourceSinkEntry.sink
dataSink.toLowerCase match {
case "nebula" => {
val writer = new NebulaWriter(algoResult, configs)
writer.write()
}
case "csv" => {
val writer = new CsvWriter(algoResult, configs)
writer.write()
}
case "text" => {
val writer = new TextWriter(algoResult, configs)
writer.write()
}
case _ => throw new UnsupportedOperationException("unsupported data sink")
}
val writer = AlgoWriter.make(configs)
writer.write(algoResult, configs)
}
}
Original file line number Diff line number Diff line change
@@ -0,0 +1,74 @@
/* Copyright (c) 2021 vesoft inc. All rights reserved.
*
* This source code is licensed under Apache 2.0 License.
*/

package com.vesoft.nebula.algorithm.lib
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/**
*
* @author 梦境迷离
* @version 1.0,2023/9/12
*/
sealed trait AlgorithmType {
self =>
def stringify: String = self match {
case AlgorithmType.Bfs => "bfs"
case AlgorithmType.Closeness => "closeness"
case AlgorithmType.ClusteringCoefficient => "clusteringcoefficient"
case AlgorithmType.ConnectedComponents => "connectedcomponent"
case AlgorithmType.DegreeStatic => "degreestatic"
case AlgorithmType.Dfs => "dfs"
case AlgorithmType.GraphTriangleCount => "graphtrianglecount"
case AlgorithmType.Hanp => "hanp"
case AlgorithmType.Jaccard => "jaccard"
case AlgorithmType.KCore => "kcore"
case AlgorithmType.LabelPropagation => "labelpropagation"
case AlgorithmType.Louvain => "louvain"
case AlgorithmType.Node2vec => "node2vec"
case AlgorithmType.PageRank => "pagerank"
case AlgorithmType.ShortestPath => "shortestpaths"
case AlgorithmType.StronglyConnectedComponents => "stronglyconnectedcomponent"
case AlgorithmType.TriangleCount => "trianglecount"
case AlgorithmType.BetweennessCentrality => "betweenness"
}
}
object AlgorithmType {
lazy val mapping: Map[String, AlgorithmType] = Map(
Bfs.stringify -> Bfs,
Closeness.stringify -> Closeness,
ClusteringCoefficient.stringify -> ClusteringCoefficient,
ConnectedComponents.stringify -> ConnectedComponents,
DegreeStatic.stringify -> DegreeStatic,
GraphTriangleCount.stringify -> GraphTriangleCount,
Hanp.stringify -> Hanp,
Jaccard.stringify -> Jaccard,
KCore.stringify -> KCore,
LabelPropagation.stringify -> LabelPropagation,
Louvain.stringify -> Louvain,
Node2vec.stringify -> Node2vec,
PageRank.stringify -> PageRank,
ShortestPath.stringify -> ShortestPath,
StronglyConnectedComponents.stringify -> StronglyConnectedComponents,
TriangleCount.stringify -> TriangleCount,
BetweennessCentrality.stringify -> BetweennessCentrality
)
object BetweennessCentrality extends AlgorithmType
object Bfs extends AlgorithmType
object Closeness extends AlgorithmType
object ClusteringCoefficient extends AlgorithmType
object ConnectedComponents extends AlgorithmType
object DegreeStatic extends AlgorithmType
object Dfs extends AlgorithmType
object GraphTriangleCount extends AlgorithmType
object Hanp extends AlgorithmType
object Jaccard extends AlgorithmType
object KCore extends AlgorithmType
object LabelPropagation extends AlgorithmType
object Louvain extends AlgorithmType
object Node2vec extends AlgorithmType
object PageRank extends AlgorithmType
object ShortestPath extends AlgorithmType
object StronglyConnectedComponents extends AlgorithmType
object TriangleCount extends AlgorithmType
}
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