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to you under the Apache License, Version 2.0 (the
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package org.apache.griffin.measure.job
import scala.util.{Failure, Success, Try}
import org.apache.griffin.measure.Application.readParamFile
import org.apache.griffin.measure.SparkSuiteBase
import org.apache.griffin.measure.configuration.dqdefinition.EnvConfig
import org.apache.griffin.measure.launch.batch.BatchDQApp
import org.apache.griffin.measure.step.builder.udf.GriffinUDFAgent
class BatchDQAppTest extends DQAppTest with SparkSuiteBase {
override def beforeAll(): Unit = {
envParam = readParamFile[EnvConfig](getConfigFilePath("/env-batch.json")) match {
case Success(p) => p
case Failure(ex) =>
error(ex.getMessage, ex)
sys.exit(-2)
}
sparkParam = envParam.getSparkParam
Try {
// build spark 2.0+ application context
conf.setAppName("BatchDQApp Test")
conf.setAll(sparkParam.getConfig)
conf.set("spark.sql.crossJoin.enabled", "true")
super.beforeAll()
sparkSession = spark
val logLevel = getGriffinLogLevel()
sparkSession.sparkContext.setLogLevel(sparkParam.getLogLevel)
griffinLogger.setLevel(logLevel)
val sqlContext = sparkSession.sqlContext
// register udf
GriffinUDFAgent.register(sqlContext)
}
}
def runAndCheckResult(metrics: Map[String, Any]): Unit = {
dqApp.run match {
case Success(ret) => assert(ret)
case Failure(ex) =>
error(s"process run error: ${ex.getMessage}", ex)
throw ex
}
// check Result Metrics
val dqContext = dqApp.asInstanceOf[BatchDQApp].dqContext
val timestamp = dqContext.contextId.timestamp
val expectedMetrics =
Map(timestamp -> metrics)
dqContext.metricWrapper.metrics should equal(expectedMetrics)
}
"accuracy batch job" should "work" in {
dqApp = initApp("/_accuracy-batch-griffindsl.json")
val expectedMetrics = Map("total_count" -> 50,
"miss_count" -> 4,
"matched_count" -> 46,
"matchedFraction" -> 0.92)
runAndCheckResult(expectedMetrics)
}
"completeness batch job" should "work" in {
dqApp = initApp("/_completeness-batch-griffindsl.json")
val expectedMetrics = Map("total" -> 50,
"incomplete" -> 1,
"complete" -> 49)
runAndCheckResult(expectedMetrics)
}
"distinctness batch job" should "work" in {
dqApp = initApp("/_distinctness-batch-griffindsl.json")
val expectedMetrics = Map("total" -> 50,
"distinct" -> 49,
"dup" -> Seq(Map("dup" -> 1, "num" -> 1)))
runAndCheckResult(expectedMetrics)
}
"profiling batch job" should "work" in {
dqApp = initApp("/_profiling-batch-griffindsl.json")
val expectedMetrics = Map(
"prof" -> Seq(Map("user_id" -> 10004, "cnt" -> 1),
Map("user_id" -> 10011, "cnt" -> 1),
Map("user_id" -> 10010, "cnt" -> 1),
Map("user_id" -> 10002, "cnt" -> 1),
Map("user_id" -> 10006, "cnt" -> 1),
Map("user_id" -> 10001, "cnt" -> 1),
Map("user_id" -> 10005, "cnt" -> 1),
Map("user_id" -> 10008, "cnt" -> 1),
Map("user_id" -> 10013, "cnt" -> 1),
Map("user_id" -> 10003, "cnt" -> 1),
Map("user_id" -> 10007, "cnt" -> 1),
Map("user_id" -> 10012, "cnt" -> 1),
Map("user_id" -> 10009, "cnt" -> 1)
),
"post_group" -> Seq(Map("post_code" -> "94022", "cnt" -> 13))
)
runAndCheckResult(expectedMetrics)
}
"timeliness batch job" should "work" in {
dqApp = initApp("/_timeliness-batch-griffindsl.json")
val expectedMetrics = Map("total" -> 10,
"avg" -> 276000,
"percentile_95" -> 660000,
"step" -> Seq(Map("step" -> 0, "cnt" -> 6),
Map("step" -> 5, "cnt" -> 2),
Map("step" -> 3, "cnt" -> 1),
Map("step" -> 4, "cnt" -> 1)
)
)
runAndCheckResult(expectedMetrics)
}
"uniqueness batch job" should "work" in {
dqApp = initApp("/_uniqueness-batch-griffindsl.json")
val expectedMetrics = Map("total" -> 50, "unique" -> 48)
runAndCheckResult(expectedMetrics)
}
}