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Add OpenLineage reporting support for Spark connector
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...n/resources/META-INF/services/io.openlineage.spark.extension.OpenLineageExtensionProvider
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1 @@ | ||
| org.apache.hadoop.hbase.spark.SparkHBaseLineageProvider |
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.../hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/SparkHBaseLineageProvider.scala
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| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one | ||
| * or more contributor license agreements. See the NOTICE file | ||
| * distributed with this work for additional information | ||
| * regarding copyright ownership. The ASF licenses this file | ||
| * to you under the Apache License, Version 2.0 (the | ||
| * "License"); you may not use this file except in compliance | ||
| * with the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
| package org.apache.hadoop.hbase.spark | ||
|
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| import io.openlineage.spark.extension.OpenLineageExtensionProvider | ||
| import io.openlineage.spark.shade.extension.v1.lifecycle.plan.SparkOpenLineageExtensionVisitor | ||
|
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| class SparkHBaseLineageProvider extends OpenLineageExtensionProvider { | ||
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| def shadedPackage(): String = | ||
| "org.apache.hbase.thirdparty.io.openlineage.spark.shade" | ||
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| override def getVisitorClassName: String = | ||
| classOf[SparkOpenLineageExtensionVisitor].getCanonicalName | ||
| } |
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spark/hbase-spark/src/test/scala/org/apache/hadoop/hbase/spark/OpenLineageSuite.scala
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| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one | ||
| * or more contributor license agreements. See the NOTICE file | ||
| * distributed with this work for additional information | ||
| * regarding copyright ownership. The ASF licenses this file | ||
| * to you under the Apache License, Version 2.0 (the | ||
| * "License"); you may not use this file except in compliance | ||
| * with the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
| package org.apache.hadoop.hbase.spark | ||
|
|
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| import io.openlineage.spark.agent.OpenLineageSparkListener | ||
| import java.io.File | ||
| import org.apache.hadoop.hbase.{HBaseTestingUtility, TableName} | ||
| import org.apache.hadoop.hbase.client.{ConnectionFactory, Put} | ||
| import org.apache.hadoop.hbase.spark.datasources.{HBaseSparkConf, HBaseTableCatalog} | ||
| import org.apache.hadoop.hbase.util.Bytes | ||
| import org.apache.spark.SparkConf | ||
| import org.apache.spark.sql.{SparkSession, SQLContext} | ||
| import org.json4s._ | ||
| import org.json4s.jackson.JsonMethods._ | ||
| import org.scalatest.{BeforeAndAfterAll, BeforeAndAfterEach, FunSuite} | ||
| import org.scalatest.Matchers.convertToAnyShouldWrapper | ||
| import org.scalatest.concurrent.Eventually | ||
| import scala.collection.mutable.ArrayBuffer | ||
| import scala.io.Source | ||
|
|
||
| class OpenLineageSuite | ||
| extends FunSuite | ||
| with Eventually | ||
| with BeforeAndAfterEach | ||
| with BeforeAndAfterAll | ||
| with Logging { | ||
| @transient var sc: SparkSession = null | ||
| var TEST_UTIL: HBaseTestingUtility = new HBaseTestingUtility | ||
|
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| val t1TableName = "t1" | ||
| val t2TableName = "t2" | ||
| val columnFamily = "c" | ||
| var sqlContext: SQLContext = null | ||
|
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| val timestamp = 1234567890000L | ||
| val lineageFile = File.createTempFile(s"openlineage_test_${System.nanoTime()}", ".log") | ||
|
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| override def beforeAll() { | ||
|
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| TEST_UTIL.startMiniCluster | ||
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| logInfo(" - minicluster started") | ||
| try | ||
| TEST_UTIL.deleteTable(TableName.valueOf(t1TableName)) | ||
| catch { | ||
| case e: Exception => logInfo(" - no table " + t1TableName + " found") | ||
| } | ||
| try | ||
| TEST_UTIL.deleteTable(TableName.valueOf(t2TableName)) | ||
| catch { | ||
| case e: Exception => logInfo(" - no table " + t2TableName + " found") | ||
| } | ||
|
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| logInfo(" - creating table " + t1TableName) | ||
| TEST_UTIL.createTable(TableName.valueOf(t1TableName), Bytes.toBytes(columnFamily)) | ||
| logInfo(" - created table") | ||
| logInfo(" - creating table " + t2TableName) | ||
| TEST_UTIL.createTable(TableName.valueOf(t2TableName), Bytes.toBytes(columnFamily)) | ||
| logInfo(" - created table") | ||
|
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| val sparkConf = new SparkConf | ||
| sparkConf.set(HBaseSparkConf.QUERY_CACHEBLOCKS, "true") | ||
| sparkConf.set(HBaseSparkConf.QUERY_BATCHSIZE, "100") | ||
| sparkConf.set(HBaseSparkConf.QUERY_CACHEDROWS, "100") | ||
| sparkConf.set("spark.extraListeners", classOf[OpenLineageSparkListener].getCanonicalName) | ||
| sparkConf.set("spark.openlineage.transport.type", "file") | ||
| sparkConf.set("spark.openlineage.transport.location", lineageFile.getAbsolutePath) | ||
|
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| sc = SparkSession | ||
| .builder() | ||
| .master("local") | ||
| .appName("openlineage-test") | ||
| .config(sparkConf) | ||
| .getOrCreate(); | ||
| val connection = ConnectionFactory.createConnection(TEST_UTIL.getConfiguration) | ||
| try { | ||
| val t1Table = connection.getTable(TableName.valueOf(t1TableName)) | ||
|
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| try { | ||
| var put = new Put(Bytes.toBytes("get1")) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("a"), Bytes.toBytes("foo1")) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("b"), Bytes.toBytes("1")) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("i"), Bytes.toBytes(1)) | ||
| t1Table.put(put) | ||
| put = new Put(Bytes.toBytes("get2")) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("a"), Bytes.toBytes("foo2")) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("b"), Bytes.toBytes("4")) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("i"), Bytes.toBytes(4)) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("z"), Bytes.toBytes("FOO")) | ||
| t1Table.put(put) | ||
| put = new Put(Bytes.toBytes("get3")) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("a"), Bytes.toBytes("foo3")) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("b"), Bytes.toBytes("8")) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("i"), Bytes.toBytes(8)) | ||
| t1Table.put(put) | ||
| put = new Put(Bytes.toBytes("get4")) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("a"), Bytes.toBytes("foo4")) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("b"), Bytes.toBytes("10")) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("i"), Bytes.toBytes(10)) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("z"), Bytes.toBytes("BAR")) | ||
| t1Table.put(put) | ||
| put = new Put(Bytes.toBytes("get5")) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("a"), Bytes.toBytes("foo5")) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("b"), Bytes.toBytes("8")) | ||
| put.addColumn(Bytes.toBytes(columnFamily), Bytes.toBytes("i"), Bytes.toBytes(8)) | ||
| t1Table.put(put) | ||
| } finally { | ||
| t1Table.close() | ||
| } | ||
| } finally { | ||
| connection.close() | ||
| } | ||
|
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| new HBaseContext(sc.sparkContext, TEST_UTIL.getConfiguration) | ||
| } | ||
|
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| override def afterAll() { | ||
| TEST_UTIL.deleteTable(TableName.valueOf(t1TableName)) | ||
| logInfo("shuting down minicluster") | ||
| TEST_UTIL.shutdownMiniCluster() | ||
|
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| sc.stop() | ||
| } | ||
|
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| override def beforeEach(): Unit = { | ||
| DefaultSourceStaticUtils.lastFiveExecutionRules.clear() | ||
| } | ||
|
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| test("Test rowKey point only rowKey query") { | ||
| val hbaseTable1Catalog = | ||
| s"""{ | ||
| |"table":{"namespace":"default", "name":"t1"}, | ||
| |"rowkey":"key", | ||
| |"columns":{ | ||
| |"KEY_FIELD":{"cf":"rowkey", "col":"key", "type":"string"}, | ||
| |"A_FIELD":{"cf":"c", "col":"a", "type":"string"}, | ||
| |"B_FIELD":{"cf":"c", "col":"b", "type":"string"} | ||
| |} | ||
| |}""".stripMargin | ||
|
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| val hbaseTable2Catalog = | ||
| s"""{ | ||
| |"table":{"namespace":"default", "name":"t2"}, | ||
| |"rowkey":"key", | ||
| |"columns":{ | ||
| |"KEY_FIELD":{"cf":"rowkey", "col":"key", "type":"string"}, | ||
| |"OUTPUT_A_FIELD":{"cf":"c", "col":"a", "type":"string"}, | ||
| |"OUTPUT_B_FIELD":{"cf":"c", "col":"b", "type":"string"} | ||
| |} | ||
| |}""".stripMargin | ||
|
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| val results = sc.read | ||
| .options(Map(HBaseTableCatalog.tableCatalog -> hbaseTable1Catalog)) | ||
| .format("org.apache.hadoop.hbase.spark") | ||
| .load() | ||
|
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| results.createOrReplaceTempView("tempview"); | ||
|
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| val outputDf = | ||
| sc.sql("SELECT KEY_FIELD, A_FIELD AS OUTPUT_A_FIELD, B_FIELD AS OUTPUT_B_FIELD FROM tempview") | ||
|
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| outputDf.write | ||
| .format("org.apache.hadoop.hbase.spark") | ||
| .options(Map(HBaseTableCatalog.tableCatalog -> hbaseTable2Catalog)) | ||
| .save() | ||
|
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| val events = eventually { | ||
| val eventLog = parseEventLog(lineageFile); eventLog.size shouldBe 1; eventLog | ||
| } | ||
|
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| val json = events.head | ||
| assert(((json \\ "inputs")(0) \ "name") == JString("default.t1")) | ||
| assert(((json \\ "inputs")(0) \ "namespace") == JString("hbase://127.0.0.1")) | ||
| assert(((json \\ "outputs")(0) \ "name") == JString("default.t2")) | ||
| assert(((json \\ "outputs")(0) \ "namespace") == JString("hbase://127.0.0.1")) | ||
| } | ||
|
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| def parseEventLog(file: File): List[JValue] = { | ||
| val source = Source.fromFile(file) | ||
| val eventlist = ArrayBuffer.empty[JValue] | ||
| for (line <- source.getLines()) { | ||
| val event = parse(line) | ||
| for { | ||
| JObject(child) <- event | ||
| JField("inputs", JArray(inputs)) <- child | ||
| JField("outputs", JArray(outputs)) <- child | ||
| JField("eventType", JString(eventType)) <- child | ||
| if outputs.nonEmpty && inputs.nonEmpty && eventType == "COMPLETE" | ||
| } yield eventlist += event | ||
| } | ||
| eventlist.toList | ||
| } | ||
| } |