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152 changes: 152 additions & 0 deletions
152
...tor/src/main/scala/com/vesoft/nebula/connector/reader/NebulaNgqlEdgePartitionReader.scala
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|---|---|---|
| @@ -0,0 +1,152 @@ | ||
| package com.vesoft.nebula.connector.reader | ||
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| import com.vesoft.nebula.Value | ||
| import com.vesoft.nebula.client.graph.data.{Relationship, ResultSet, ValueWrapper} | ||
| import com.vesoft.nebula.connector.NebulaUtils.NebulaValueGetter | ||
| import com.vesoft.nebula.connector.nebula.GraphProvider | ||
| import com.vesoft.nebula.connector.{NebulaOptions, NebulaUtils} | ||
| import org.apache.spark.sql.catalyst.InternalRow | ||
| import org.apache.spark.sql.catalyst.expressions.SpecificInternalRow | ||
| import org.apache.spark.sql.sources.v2.reader.InputPartitionReader | ||
| import org.apache.spark.sql.types.StructType | ||
| import org.slf4j.{Logger, LoggerFactory} | ||
|
|
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| import scala.collection.JavaConversions.asScalaBuffer | ||
| import scala.collection.mutable | ||
| import scala.collection.mutable.ListBuffer | ||
|
|
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| /** | ||
| * create reader by ngql | ||
| */ | ||
| class NebulaNgqlEdgePartitionReader extends InputPartitionReader[InternalRow] { | ||
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| private val LOG: Logger = LoggerFactory.getLogger(this.getClass) | ||
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| private var nebulaOptions: NebulaOptions = _ | ||
| private var graphProvider: GraphProvider = _ | ||
| private var schema: StructType = _ | ||
| private var resultSet: ResultSet = _ | ||
| private var edgeIterator: Iterator[ListBuffer[ValueWrapper]] = _ | ||
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| def this(nebulaOptions: NebulaOptions, schema: StructType) { | ||
| this() | ||
| this.schema = schema | ||
| this.nebulaOptions = nebulaOptions | ||
| this.graphProvider = new GraphProvider( | ||
| nebulaOptions.getGraphAddress, | ||
| nebulaOptions.timeout, | ||
| nebulaOptions.enableGraphSSL, | ||
| nebulaOptions.sslSignType, | ||
| nebulaOptions.caSignParam, | ||
| nebulaOptions.selfSignParam | ||
| ) | ||
| // add exception when session build failed | ||
| graphProvider.switchSpace(nebulaOptions.user, nebulaOptions.passwd, nebulaOptions.spaceName) | ||
| resultSet = graphProvider.submit(nebulaOptions.ngql) | ||
| edgeIterator = query() | ||
| } | ||
|
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| def query(): Iterator[ListBuffer[ValueWrapper]] = { | ||
| val edges: ListBuffer[ListBuffer[ValueWrapper]] = new ListBuffer[ListBuffer[ValueWrapper]] | ||
| val properties = nebulaOptions.getReturnCols | ||
| for (i <- 0 until resultSet.rowsSize()) { | ||
| val rowValues = resultSet.rowValues(i).values() | ||
| for (j <- 0 until rowValues.size()) { | ||
| val value = rowValues.get(j) | ||
| val valueType = value.getValue.getSetField | ||
| if (valueType == Value.EVAL) { | ||
| val relationship = value.asRelationship() | ||
| if (checkLabel(relationship)) { | ||
| edges.append(convertToEdge(relationship, properties)) | ||
| } | ||
| } else if (valueType == Value.LVAL) { | ||
| val list: mutable.Buffer[ValueWrapper] = value.asList() | ||
| edges.appendAll( | ||
| list.toStream.filter(e => checkLabel(e.asRelationship())) | ||
| .map(e => convertToEdge(e.asRelationship(), properties)) | ||
| ) | ||
| } else { | ||
| LOG.error(s"Exception convert edge type ${valueType} ") | ||
| throw new RuntimeException(" convert value type failed"); | ||
| } | ||
| } | ||
| } | ||
| edges.iterator | ||
| } | ||
|
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| def checkLabel(relationship: Relationship): Boolean = { | ||
| this.nebulaOptions.label.equals(relationship.edgeName()) | ||
| } | ||
|
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| def convertToEdge(relationship: Relationship, properties: List[String]): ListBuffer[ValueWrapper] = { | ||
| val edge: ListBuffer[ValueWrapper] = new ListBuffer[ValueWrapper] | ||
| edge.append(relationship.srcId()) | ||
| edge.append(relationship.dstId()) | ||
| edge.append(new ValueWrapper(new Value(3, relationship.ranking()), "utf-8")) | ||
| if (properties == null || properties.isEmpty) | ||
| return edge | ||
| else { | ||
| for (i <- properties.indices) { | ||
| edge.append(relationship.properties().get(properties(i))) | ||
| } | ||
| } | ||
| edge | ||
| } | ||
|
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|
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| override def next(): Boolean = { | ||
| edgeIterator.hasNext | ||
| } | ||
|
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| override def get(): InternalRow = { | ||
| val getters: Array[NebulaValueGetter] = NebulaUtils.makeGetters(schema) | ||
| val mutableRow = new SpecificInternalRow(schema.fields.map(x => x.dataType)) | ||
|
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| val edge = edgeIterator.next(); | ||
| for (i <- getters.indices) { | ||
| val value: ValueWrapper = edge(i) | ||
| var resolved = false | ||
| if (value.isNull) { | ||
| mutableRow.setNullAt(i) | ||
| resolved = true | ||
| } | ||
| if (value.isString) { | ||
| getters(i).apply(value.asString(), mutableRow, i) | ||
| resolved = true | ||
| } | ||
| if (value.isDate) { | ||
| getters(i).apply(value.asDate(), mutableRow, i) | ||
| resolved = true | ||
| } | ||
| if (value.isTime) { | ||
| getters(i).apply(value.asTime(), mutableRow, i) | ||
| resolved = true | ||
| } | ||
| if (value.isDateTime) { | ||
| getters(i).apply(value.asDateTime(), mutableRow, i) | ||
| resolved = true | ||
| } | ||
| if (value.isLong) { | ||
| getters(i).apply(value.asLong(), mutableRow, i) | ||
| } | ||
| if (value.isBoolean) { | ||
| getters(i).apply(value.asBoolean(), mutableRow, i) | ||
| } | ||
| if (value.isDouble) { | ||
| getters(i).apply(value.asDouble(), mutableRow, i) | ||
| } | ||
| if (value.isGeography) { | ||
| getters(i).apply(value.asGeography(), mutableRow, i) | ||
| } | ||
| if (value.isDuration) { | ||
| getters(i).apply(value.asDuration(), mutableRow, i) | ||
| } | ||
| } | ||
| mutableRow | ||
|
|
||
| } | ||
|
|
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| override def close(): Unit = { | ||
| graphProvider.close(); | ||
| } | ||
| } |
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