use of co.cask.cdap.proto.artifact.AppRequest in project cdap by caskdata.
the class DataPipelineTest method testTableLookup.
@Test
public void testTableLookup() throws Exception {
addDatasetInstance(Table.class.getName(), "personTable");
DataSetManager<Table> lookupTableManager = getDataset("personTable");
Table lookupTable = lookupTableManager.get();
lookupTable.put("samuel".getBytes(Charsets.UTF_8), "age".getBytes(Charsets.UTF_8), "12".getBytes(Charsets.UTF_8));
lookupTable.put("samuel".getBytes(Charsets.UTF_8), "gender".getBytes(Charsets.UTF_8), "m".getBytes(Charsets.UTF_8));
lookupTable.put("bob".getBytes(Charsets.UTF_8), "age".getBytes(Charsets.UTF_8), "36".getBytes(Charsets.UTF_8));
lookupTable.put("bob".getBytes(Charsets.UTF_8), "gender".getBytes(Charsets.UTF_8), "m".getBytes(Charsets.UTF_8));
lookupTable.put("jane".getBytes(Charsets.UTF_8), "age".getBytes(Charsets.UTF_8), "25".getBytes(Charsets.UTF_8));
lookupTable.put("jane".getBytes(Charsets.UTF_8), "gender".getBytes(Charsets.UTF_8), "f".getBytes(Charsets.UTF_8));
lookupTableManager.flush();
ETLBatchConfig etlConfig = ETLBatchConfig.builder("* * * * *").addStage(new ETLStage("source", MockSource.getPlugin("inputTable"))).addStage(new ETLStage("transform", LookupTransform.getPlugin("person", "age", "personTable"))).addStage(new ETLStage("sink", MockSink.getPlugin("outputTable"))).addConnection("source", "transform").addConnection("transform", "sink").build();
ApplicationId appId = NamespaceId.DEFAULT.app("testTableLookup");
AppRequest<ETLBatchConfig> appRequest = new AppRequest<>(APP_ARTIFACT, etlConfig);
ApplicationManager appManager = deployApplication(appId, appRequest);
// set up input data
Schema inputSchema = Schema.recordOf("person", Schema.Field.of("person", Schema.of(Schema.Type.STRING)));
StructuredRecord recordSamuel = StructuredRecord.builder(inputSchema).set("person", "samuel").build();
StructuredRecord recordBob = StructuredRecord.builder(inputSchema).set("person", "bob").build();
StructuredRecord recordJane = StructuredRecord.builder(inputSchema).set("person", "jane").build();
DataSetManager<Table> inputTable = getDataset("inputTable");
MockSource.writeInput(inputTable, ImmutableList.of(recordSamuel, recordBob, recordJane));
WorkflowManager workflowManager = appManager.getWorkflowManager(SmartWorkflow.NAME).start();
workflowManager.waitForRun(ProgramRunStatus.COMPLETED, 5, TimeUnit.MINUTES);
Schema schema = Schema.recordOf("person", Schema.Field.of("person", Schema.of(Schema.Type.STRING)), Schema.Field.of("age", Schema.of(Schema.Type.STRING)), Schema.Field.of("gender", Schema.of(Schema.Type.STRING)));
Set<StructuredRecord> expected = new HashSet<>();
expected.add(StructuredRecord.builder(schema).set("person", "samuel").set("age", "12").set("gender", "m").build());
expected.add(StructuredRecord.builder(schema).set("person", "bob").set("age", "36").set("gender", "m").build());
expected.add(StructuredRecord.builder(schema).set("person", "jane").set("age", "25").set("gender", "f").build());
DataSetManager<Table> outputTable = getDataset("outputTable");
Set<StructuredRecord> actual = new HashSet<>(MockSink.readOutput(outputTable));
Assert.assertEquals(expected, actual);
validateMetric(3, appId, "source.records.out");
validateMetric(3, appId, "sink.records.in");
deleteDatasetInstance(NamespaceId.DEFAULT.dataset("inputTable"));
deleteDatasetInstance(NamespaceId.DEFAULT.dataset("outputTable"));
}
use of co.cask.cdap.proto.artifact.AppRequest in project cdap by caskdata.
the class DataPipelineTest method testErrorTransform.
private void testErrorTransform(Engine engine) throws Exception {
String source1TableName = "errTestIn1-" + engine;
String source2TableName = "errTestIn2-" + engine;
String sink1TableName = "errTestOut1-" + engine;
String sink2TableName = "errTestOut2-" + engine;
Schema inputSchema = Schema.recordOf("user", Schema.Field.of("name", Schema.of(Schema.Type.STRING)), Schema.Field.of("id", Schema.of(Schema.Type.INT)));
/*
*
* source1 --> filter1 --> filter2 --> agg1 --> agg2
* | | | |
* |-----------|---------|--------|--------|--> errorflatten --> sink1
* | |
* | |--> errorfilter --> sink2
* |
* source2 --> dropnull
*
* arrows coming out the right represent output records
* arrows coming out the bottom represent error records
* this will test multiple stages from multiple phases emitting errors to the same stage
* as well as errors from one stage going to multiple stages
* and transforms that have an error schema different from their output schema
*/
ETLBatchConfig config = ETLBatchConfig.builder("* * * * *").setEngine(engine).addStage(new ETLStage("source1", MockSource.getPlugin(source1TableName, inputSchema))).addStage(new ETLStage("source2", MockSource.getPlugin(source2TableName, inputSchema))).addStage(new ETLStage("filter1", StringValueFilterTransform.getPlugin("name", "Leo"))).addStage(new ETLStage("filter2", StringValueFilterTransform.getPlugin("name", "Ralph"))).addStage(new ETLStage("agg1", GroupFilterAggregator.getPlugin("name", "Don"))).addStage(new ETLStage("agg2", GroupFilterAggregator.getPlugin("name", "Mike"))).addStage(new ETLStage("errorflatten", FlattenErrorTransform.getPlugin())).addStage(new ETLStage("errorfilter", FilterErrorTransform.getPlugin(3))).addStage(new ETLStage("dropnull", DropNullTransform.getPlugin("name"))).addStage(new ETLStage("sink1", MockSink.getPlugin(sink1TableName))).addStage(new ETLStage("sink2", MockSink.getPlugin(sink2TableName))).addConnection("source1", "filter1").addConnection("source2", "dropnull").addConnection("filter1", "filter2").addConnection("filter2", "agg1").addConnection("agg1", "agg2").addConnection("filter1", "errorflatten").addConnection("filter1", "errorfilter").addConnection("filter2", "errorflatten").addConnection("filter2", "errorfilter").addConnection("agg1", "errorflatten").addConnection("agg1", "errorfilter").addConnection("agg2", "errorflatten").addConnection("agg2", "errorfilter").addConnection("dropnull", "errorflatten").addConnection("dropnull", "errorfilter").addConnection("errorflatten", "sink1").addConnection("errorfilter", "sink2").build();
AppRequest<ETLBatchConfig> appRequest = new AppRequest<>(APP_ARTIFACT, config);
ApplicationId appId = NamespaceId.DEFAULT.app("ErrTransformTest-" + engine);
ApplicationManager appManager = deployApplication(appId.toId(), appRequest);
List<StructuredRecord> input = ImmutableList.of(StructuredRecord.builder(inputSchema).set("name", "Leo").set("id", 1).build(), StructuredRecord.builder(inputSchema).set("name", "Ralph").set("id", 2).build(), StructuredRecord.builder(inputSchema).set("name", "Don").set("id", 3).build(), StructuredRecord.builder(inputSchema).set("name", "Mike").set("id", 4).build());
DataSetManager<Table> source1Table = getDataset(source1TableName);
MockSource.writeInput(source1Table, input);
input = ImmutableList.of(StructuredRecord.builder(inputSchema).set("name", "April").set("id", 5).build());
DataSetManager<Table> source2Table = getDataset(source2TableName);
MockSource.writeInput(source2Table, input);
WorkflowManager workflowManager = appManager.getWorkflowManager(SmartWorkflow.NAME);
workflowManager.start();
workflowManager.waitForRun(ProgramRunStatus.COMPLETED, 5, TimeUnit.MINUTES);
Schema flattenSchema = Schema.recordOf("erroruser", Schema.Field.of("name", Schema.of(Schema.Type.STRING)), Schema.Field.of("id", Schema.of(Schema.Type.INT)), Schema.Field.of("errMsg", Schema.nullableOf(Schema.of(Schema.Type.STRING))), Schema.Field.of("errCode", Schema.nullableOf(Schema.of(Schema.Type.INT))), Schema.Field.of("errStage", Schema.nullableOf(Schema.of(Schema.Type.STRING))));
Set<StructuredRecord> expected = ImmutableSet.of(StructuredRecord.builder(flattenSchema).set("name", "Leo").set("id", 1).set("errMsg", "bad string value").set("errCode", 1).set("errStage", "filter1").build(), StructuredRecord.builder(flattenSchema).set("name", "Ralph").set("id", 2).set("errMsg", "bad string value").set("errCode", 1).set("errStage", "filter2").build(), StructuredRecord.builder(flattenSchema).set("name", "Don").set("id", 3).set("errMsg", "bad val").set("errCode", 3).set("errStage", "agg1").build(), StructuredRecord.builder(flattenSchema).set("name", "Mike").set("id", 4).set("errMsg", "bad val").set("errCode", 3).set("errStage", "agg2").build(), StructuredRecord.builder(flattenSchema).set("name", "April").set("id", 5).set("errMsg", "Field name was not null").set("errCode", 5).set("errStage", "dropnull").build());
DataSetManager<Table> sink1Table = getDataset(sink1TableName);
Assert.assertEquals(expected, ImmutableSet.copyOf(MockSink.readOutput(sink1Table)));
expected = ImmutableSet.of(StructuredRecord.builder(inputSchema).set("name", "Leo").set("id", 1).build(), StructuredRecord.builder(inputSchema).set("name", "Ralph").set("id", 2).build(), StructuredRecord.builder(inputSchema).set("name", "April").set("id", 5).build());
DataSetManager<Table> sink2Table = getDataset(sink2TableName);
Assert.assertEquals(expected, ImmutableSet.copyOf(MockSink.readOutput(sink2Table)));
/*
*
* source1 (4) --> filter1 (3) --> filter2 (2) --> agg1 (1) --> agg2
* | | | |
* (1) (1) (1) (1)
* |----------------|--------------|------------|--------|--> errorflatten (5) --> sink1
* | |
* (1) |--> errorfilter (3) --> sink2
* |
* source2 --> dropnull
*/
validateMetric(4, appId, "source1.records.out");
validateMetric(1, appId, "source2.records.out");
validateMetric(1, appId, "dropnull.records.error");
validateMetric(3, appId, "filter1.records.out");
validateMetric(1, appId, "filter1.records.error");
validateMetric(2, appId, "filter2.records.out");
validateMetric(1, appId, "filter2.records.error");
validateMetric(1, appId, "agg1.records.out");
validateMetric(1, appId, "agg1.records.error");
validateMetric(1, appId, "agg2.records.error");
validateMetric(5, appId, "errorflatten.records.out");
validateMetric(3, appId, "errorfilter.records.out");
validateMetric(5, appId, "sink1.records.in");
validateMetric(3, appId, "sink2.records.in");
}
use of co.cask.cdap.proto.artifact.AppRequest in project cdap by caskdata.
the class DataPipelineTest method testMultiSource.
private void testMultiSource(Engine engine) throws Exception {
/*
* source1 --| |--> sink1
* |--> transform1 --|
* source2 --| |
* |--> transform2 --> sink2
* ^
* |
* source3 ----------------------------|
*/
Schema schema = Schema.recordOf("testRecord", Schema.Field.of("name", Schema.of(Schema.Type.STRING)));
String source1Name = String.format("msInput1-%s", engine);
String source2Name = String.format("msInput2-%s", engine);
String source3Name = String.format("msInput3-%s", engine);
String sink1Name = String.format("msOutput1-%s", engine);
String sink2Name = String.format("msOutput2-%s", engine);
ETLBatchConfig etlConfig = ETLBatchConfig.builder("* * * * *").addStage(new ETLStage("source1", MockSource.getPlugin(source1Name, schema))).addStage(new ETLStage("source2", MockSource.getPlugin(source2Name, schema))).addStage(new ETLStage("source3", MockSource.getPlugin(source3Name, schema))).addStage(new ETLStage("transform1", IdentityTransform.getPlugin())).addStage(new ETLStage("transform2", IdentityTransform.getPlugin())).addStage(new ETLStage("sink1", MockSink.getPlugin(sink1Name))).addStage(new ETLStage("sink2", MockSink.getPlugin(sink2Name))).addConnection("source1", "transform1").addConnection("source2", "transform1").addConnection("transform1", "sink1").addConnection("transform1", "transform2").addConnection("transform2", "sink2").addConnection("source3", "transform2").setEngine(engine).build();
AppRequest<ETLBatchConfig> appRequest = new AppRequest<>(APP_ARTIFACT, etlConfig);
ApplicationId appId = NamespaceId.DEFAULT.app("MultiSourceApp-" + engine);
ApplicationManager appManager = deployApplication(appId.toId(), appRequest);
// there should be only two programs - one workflow and one mapreduce/spark
Assert.assertEquals(2, appManager.getInfo().getPrograms().size());
StructuredRecord recordSamuel = StructuredRecord.builder(schema).set("name", "samuel").build();
StructuredRecord recordBob = StructuredRecord.builder(schema).set("name", "bob").build();
StructuredRecord recordJane = StructuredRecord.builder(schema).set("name", "jane").build();
// write one record to each source
DataSetManager<Table> inputManager = getDataset(NamespaceId.DEFAULT.dataset(source1Name));
MockSource.writeInput(inputManager, ImmutableList.of(recordSamuel));
inputManager = getDataset(NamespaceId.DEFAULT.dataset(source2Name));
MockSource.writeInput(inputManager, ImmutableList.of(recordBob));
inputManager = getDataset(NamespaceId.DEFAULT.dataset(source3Name));
MockSource.writeInput(inputManager, ImmutableList.of(recordJane));
WorkflowManager workflowManager = appManager.getWorkflowManager(SmartWorkflow.NAME);
workflowManager.start();
workflowManager.waitForRun(ProgramRunStatus.COMPLETED, 5, TimeUnit.MINUTES);
// sink1 should get records from source1 and source2
DataSetManager<Table> sinkManager = getDataset(sink1Name);
Set<StructuredRecord> expected = ImmutableSet.of(recordSamuel, recordBob);
Set<StructuredRecord> actual = Sets.newHashSet(MockSink.readOutput(sinkManager));
Assert.assertEquals(expected, actual);
// sink2 should get all records
sinkManager = getDataset(sink2Name);
expected = ImmutableSet.of(recordSamuel, recordBob, recordJane);
actual = Sets.newHashSet(MockSink.readOutput(sinkManager));
Assert.assertEquals(expected, actual);
validateMetric(1, appId, "source1.records.out");
validateMetric(1, appId, "source2.records.out");
validateMetric(1, appId, "source3.records.out");
validateMetric(2, appId, "transform1.records.in");
validateMetric(2, appId, "transform1.records.out");
validateMetric(3, appId, "transform2.records.in");
validateMetric(3, appId, "transform2.records.out");
validateMetric(2, appId, "sink1.records.in");
validateMetric(3, appId, "sink2.records.in");
}
use of co.cask.cdap.proto.artifact.AppRequest in project cdap by caskdata.
the class DataPipelineTest method testMacrosSparkPipeline.
/**
* Tests that if macros are provided
*/
@Test
public void testMacrosSparkPipeline() throws Exception {
/*
* Trivial Spark pipeline from batch source to batch sink.
*
* source --------- sink
*/
ETLBatchConfig etlConfig = ETLBatchConfig.builder("* * * * *").setEngine(Engine.SPARK).addStage(new ETLStage("source", MockRuntimeDatasetSource.getPlugin("sparkinput", "${runtime${source}}"))).addStage(new ETLStage("sink", MockRuntimeDatasetSink.getPlugin("sparkoutput", "${runtime}${sink}"))).addConnection("source", "sink").build();
AppRequest<ETLBatchConfig> appRequest = new AppRequest<>(APP_ARTIFACT, etlConfig);
ApplicationId appId = NamespaceId.DEFAULT.app("SparkApp");
ApplicationManager appManager = deployApplication(appId.toId(), appRequest);
// set runtime arguments for macro substitution
Map<String, String> runtimeArguments = ImmutableMap.of("runtime", "mockRuntime", "sink", "SparkSinkDataset", "source", "Source", "runtimeSource", "mockRuntimeSparkSourceDataset");
WorkflowManager workflowManager = appManager.getWorkflowManager(SmartWorkflow.NAME);
workflowManager.setRuntimeArgs(runtimeArguments);
// make sure the datasets don't exist beforehand
Assert.assertNull(getDataset("mockRuntimeSparkSourceDataset").get());
Assert.assertNull(getDataset("mockRuntimeSparkSinkDataset").get());
workflowManager.start();
workflowManager.waitForRun(ProgramRunStatus.COMPLETED, 5, TimeUnit.MINUTES);
// now the datasets should exist
Assert.assertNotNull(getDataset("mockRuntimeSparkSourceDataset").get());
Assert.assertNotNull(getDataset("mockRuntimeSparkSinkDataset").get());
}
use of co.cask.cdap.proto.artifact.AppRequest in project cdap by caskdata.
the class DataPipelineTest method testSecureStorePipeline.
/**
* Tests the secure storage macro function in a pipelines by creating datasets from the secure store data.
*/
private void testSecureStorePipeline(Engine engine, String prefix) throws Exception {
/*
* Trivial pipeline from batch source to batch sink.
*
* source --------- sink
*/
ETLBatchConfig etlConfig = ETLBatchConfig.builder("* * * * *").addStage(new ETLStage("source", MockRuntimeDatasetSource.getPlugin("input", "${secure(" + prefix + "source)}"))).addStage(new ETLStage("sink", MockRuntimeDatasetSink.getPlugin("output", "${secure(" + prefix + "sink)}"))).addConnection("source", "sink").setEngine(engine).build();
// place dataset names into secure storage
getSecureStoreManager().putSecureData("default", prefix + "source", prefix + "MockSecureSourceDataset", "secure source dataset name", new HashMap<String, String>());
getSecureStoreManager().putSecureData("default", prefix + "sink", prefix + "MockSecureSinkDataset", "secure dataset name", new HashMap<String, String>());
AppRequest<ETLBatchConfig> appRequest = new AppRequest<>(APP_ARTIFACT, etlConfig);
ApplicationId appId = NamespaceId.DEFAULT.app("App-" + engine);
ApplicationManager appManager = deployApplication(appId.toId(), appRequest);
WorkflowManager workflowManager = appManager.getWorkflowManager(SmartWorkflow.NAME);
// make sure the datasets don't exist beforehand
Assert.assertNull(getDataset(prefix + "MockSecureSourceDataset").get());
Assert.assertNull(getDataset(prefix + "MockSecureSinkDataset").get());
workflowManager.start();
workflowManager.waitForRun(ProgramRunStatus.COMPLETED, 5, TimeUnit.MINUTES);
// now the datasets should exist
Assert.assertNotNull(getDataset(prefix + "MockSecureSourceDataset").get());
Assert.assertNotNull(getDataset(prefix + "MockSecureSinkDataset").get());
}
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