viirya commented on code in PR #263: URL: https://github.com/apache/arrow-datafusion-comet/pull/263#discussion_r1566815379
########## spark/src/test/scala/org/apache/comet/CometExpressionCoverageSuite.scala: ########## @@ -0,0 +1,114 @@ +/* + * 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.comet + +import java.nio.charset.StandardCharsets +import java.nio.file.{Files, Paths} + +import scala.collection.mutable + +import org.scalatest.Ignore +import org.scalatest.exceptions.TestFailedException + +import org.apache.spark.sql.CometTestBase +import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper + +/** + * Manual test to calculate Spark builtin functions coverage support by the Comet + * + * The test will update files doc/spark_coverage.txt, doc/spark_coverage_agg.txt + */ + +@Ignore +class CometExpressionCoverageSuite extends CometTestBase with AdaptiveSparkPlanHelper { + + import testImplicits._ + + test("Test Spark builtin functions coverage") { + val queryPattern = """(?i)SELECT (.+?);""".r + val valuesPattern = """(?i)FROM VALUES(.+?);""".r + val selectPattern = """(i?)SELECT(.+?)FROM""".r + val builtinExamplesMap = spark.sessionState.functionRegistry + .listFunction() + .map(spark.sessionState.catalog.lookupFunctionInfo(_)) + .filter(_.getSource.toLowerCase == "built-in") + .filter(f => + !List("window").contains(f.getName.toLowerCase)) // exclude exotics, will run it manually + .map(f => { + val selectRows = queryPattern.findAllMatchIn(f.getExamples).map(_.group(0)).toList + (f.getName, selectRows.filter(_.nonEmpty)) + }) + .toMap + + // key - function name + // value - list of result shows if function supported by Comet + val resultsMap = new mutable.HashMap[String, CoverageResult]() + + builtinExamplesMap.foreach { + case (funcName, q :: _) => + val queryResult = + try { + // Example with predefined values + // e.g. SELECT bit_xor(col) FROM VALUES (3), (5) AS tab(col) + // better option is probably to parse the query and iterate through expressions + // but this is adhoc coverage test + if (q.toLowerCase.contains(" from values")) { + val select = selectPattern.findFirstMatchIn(q).map(_.group(0)) + val values = valuesPattern.findFirstMatchIn(q).map(_.group(0)) + (select, values) match { + case (Some(s), Some(v)) => + testSingleLineQuery(s"select * $v", s"$s tbl") + + case _ => sys.error(s"Query $q cannot be parsed properly") + } + } else { + // Plain example like SELECT cos(0); + testSingleLineQuery("select 'dummy' x", s"${q.dropRight(1)}, x from tbl") + } + CoverageResult("PASSED", Seq((q, "OK"))) + } catch { + case e: TestFailedException + if e.message.getOrElse("").contains("Expected only Comet native operators") => + CoverageResult("FAILED", Seq((q, "Unsupported"))) + case e if e.getMessage.contains("CometNativeException") => + CoverageResult("FAILED", Seq((q, "Failed on native side"))) + case _ => + CoverageResult("FAILED", Seq((q, "Failed on something else. Check query manually"))) + } + resultsMap.put(funcName, queryResult) + case (funcName, List()) => + resultsMap.put(funcName, CoverageResult("SKIPPED", Seq.empty)) + } + + // later we Convert resultMap into some HTML + resultsMap.toSeq.toDF("name", "details").createOrReplaceTempView("t") + val str_agg = showString( + spark.sql( + "select result, d._2 as reason, count(1) cnt from (select name, t.details.result, explode_outer(t.details.details) as d from t) group by 1, 2"), + 500, + 0) + Files.write(Paths.get("doc/spark_coverage_agg.txt"), str_agg.getBytes(StandardCharsets.UTF_8)) Review Comment: But I think it may be better to have the aggregation of expression coverage in the same file? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@arrow.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
