Java Code Examples for org.pentaho.di.trans.step.StepInterface#addRowListener()
The following examples show how to use
org.pentaho.di.trans.step.StepInterface#addRowListener() .
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Example 1
Source File: TransDebugMeta.java From pentaho-kettle with Apache License 2.0 | 6 votes |
public synchronized void addRowListenersToTransformation( final Trans trans ) { final TransDebugMeta self = this; // for every step in the map, add a row listener... // for ( final Map.Entry<StepMeta, StepDebugMeta> entry : stepDebugMetaMap.entrySet() ) { final StepMeta stepMeta = entry.getKey(); final StepDebugMeta stepDebugMeta = entry.getValue(); // What is the transformation thread to attach a listener to? // for ( StepInterface baseStep : trans.findBaseSteps( stepMeta.getName() ) ) { baseStep.addRowListener( new RowAdapter() { public void rowWrittenEvent( RowMetaInterface rowMeta, Object[] row ) throws KettleStepException { rowWrittenEventHandler( rowMeta, row, stepDebugMeta, trans, self ); } } ); } } }
Example 2
Source File: CheckSumTest.java From pentaho-kettle with Apache License 2.0 | 5 votes |
/** * Create, execute, and return the row listener attached to the output step with complete results from the execution. * * @param checkSumType * Type of checksum to use (the array index of {@link CheckSumMeta#checksumtypeCodes}) * @param compatibilityMode * Use compatibility mode for CheckSum * @param fieldSeparatorString * The string separate multiple fields with * @param inputs * Array of objects representing row data * @param inputValueMetas * metas to be processed * @return RowListener with results. */ private MockRowListener executeHexTest( int checkSumType, boolean compatibilityMode, boolean oldChecksumBehaviour, String fieldSeparatorString, Object[] inputs, ValueMetaInterface... inputValueMetas ) throws Exception { String[] fieldNames = new String[inputValueMetas.length]; RowMeta inputRowMeta = new RowMeta(); for ( int i = 0; i < inputValueMetas.length; i++ ) { inputRowMeta.addValueMeta( inputValueMetas[i] ); fieldNames[i] = inputValueMetas[i].getName(); } Trans trans = buildHexadecimalChecksumTrans( checkSumType, compatibilityMode, oldChecksumBehaviour, fieldSeparatorString, fieldNames ); trans.prepareExecution( null ); StepInterface output = trans.getRunThread( "Output", 0 ); MockRowListener listener = new MockRowListener(); output.addRowListener( listener ); RowProducer rp = trans.addRowProducer( "CheckSum", 0 ); ( (BaseStep) trans.getRunThread( "CheckSum", 0 ) ).setInputRowMeta( inputRowMeta ); trans.startThreads(); rp.putRow( inputRowMeta, inputs ); rp.finished(); trans.waitUntilFinished(); trans.stopAll(); trans.cleanup(); return listener; }
Example 3
Source File: TableOutputIT.java From pentaho-kettle with Apache License 2.0 | 4 votes |
/** * Test case for normal table output where the table is included in the instream, but the tablename is not stored in * the table. */ public void testTableOutputJIRA897() throws Exception { KettleEnvironment.init(); // // Create a new transformation... // TransMeta transMeta = new TransMeta(); transMeta.setName( "table output JIRA897 test" ); // Add the database connections for ( int i = 0; i < databasesXML.length; i++ ) { DatabaseMeta databaseMeta = new DatabaseMeta( databasesXML[i] ); transMeta.addDatabase( databaseMeta ); } DatabaseMeta dbInfo = transMeta.findDatabase( "db" ); // Execute our setup SQLs in the database. Database database = new Database( transMeta, dbInfo ); database.connect(); createTable( database, target_table1, createSourceRowMetaInterface1() ); createTable( database, target_table2, createSourceRowMetaInterface1() ); PluginRegistry registry = PluginRegistry.getInstance(); // // create an injector step... // String injectorStepname = "injector step"; InjectorMeta im = new InjectorMeta(); // Set the information of the injector. String injectorPid = registry.getPluginId( StepPluginType.class, im ); StepMeta injectorStep = new StepMeta( injectorPid, injectorStepname, im ); transMeta.addStep( injectorStep ); // // create the source step... // String outputname = "output to [" + target_table1 + "] and [" + target_table2 + "]"; TableOutputMeta tom = new TableOutputMeta(); tom.setDatabaseMeta( transMeta.findDatabase( "db" ) ); tom.setTableNameInField( true ); tom.setTableNameField( "TABLE" ); tom.setTableNameInTable( false ); String fromid = registry.getPluginId( StepPluginType.class, tom ); StepMeta fromstep = new StepMeta( fromid, outputname, tom ); fromstep.setDescription( "write data to tables on database [" + dbInfo + "]" ); transMeta.addStep( fromstep ); TransHopMeta hi = new TransHopMeta( injectorStep, fromstep ); transMeta.addTransHop( hi ); // Now execute the transformation... Trans trans = new Trans( transMeta ); trans.prepareExecution( null ); StepInterface si = trans.getStepInterface( outputname, 0 ); RowStepCollector rc = new RowStepCollector(); si.addRowListener( rc ); RowProducer rp = trans.addRowProducer( injectorStepname, 0 ); trans.startThreads(); // add rows List<RowMetaAndData> inputList = createJIRA897DataRows(); for ( RowMetaAndData rm : inputList ) { rp.putRow( rm.getRowMeta(), rm.getData() ); } rp.finished(); trans.waitUntilFinished(); List<RowMetaAndData> resultRows = rc.getRowsWritten(); // The name of the table should still be in here. List<RowMetaAndData> goldRows = createJIRA897DataRows(); checkRows( goldRows, resultRows ); checkResultsJIRA897( database ); }
Example 4
Source File: InjectorIT.java From pentaho-kettle with Apache License 2.0 | 4 votes |
/** * Test case for injector step... also a show case on how to use injector. */ public void testInjector() throws Exception { KettleEnvironment.init(); // // Create a new transformation... // TransMeta transMeta = new TransMeta(); transMeta.setName( "injectortest" ); PluginRegistry registry = PluginRegistry.getInstance(); // // create an injector step... // String injectorStepname = "injector step"; InjectorMeta im = new InjectorMeta(); // Set the information of the injector. String injectorPid = registry.getPluginId( StepPluginType.class, im ); StepMeta injectorStep = new StepMeta( injectorPid, injectorStepname, im ); transMeta.addStep( injectorStep ); // // Create a dummy step // String dummyStepname = "dummy step"; DummyTransMeta dm = new DummyTransMeta(); String dummyPid = registry.getPluginId( StepPluginType.class, dm ); StepMeta dummyStep = new StepMeta( dummyPid, dummyStepname, dm ); transMeta.addStep( dummyStep ); TransHopMeta hi = new TransHopMeta( injectorStep, dummyStep ); transMeta.addTransHop( hi ); // Now execute the transformation... Trans trans = new Trans( transMeta ); trans.prepareExecution( null ); StepInterface si = trans.getStepInterface( dummyStepname, 0 ); RowStepCollector rc = new RowStepCollector(); si.addRowListener( rc ); RowProducer rp = trans.addRowProducer( injectorStepname, 0 ); trans.startThreads(); // add rows List<RowMetaAndData> inputList = createData(); for ( RowMetaAndData rm : inputList ) { rp.putRow( rm.getRowMeta(), rm.getData() ); } rp.finished(); trans.waitUntilFinished(); List<RowMetaAndData> resultRows = rc.getRowsWritten(); checkRows( resultRows, inputList ); }
Example 5
Source File: TransTestFactory.java From pentaho-kettle with Apache License 2.0 | 4 votes |
public static List<RowMetaAndData> executeTestTransformation( TransMeta transMeta, String injectorStepname, String testStepname, String dummyStepname, List<RowMetaAndData> inputData ) throws KettleException { // Now execute the transformation... Trans trans = new Trans( transMeta ); trans.prepareExecution( null ); // Capture the rows that come out of the dummy step... // StepInterface si = trans.getStepInterface( dummyStepname, 0 ); RowStepCollector dummyRc = new RowStepCollector(); si.addRowListener( dummyRc ); // Add a row producer... // RowProducer rp = trans.addRowProducer( injectorStepname, 0 ); // Start the steps... // trans.startThreads(); // Inject the actual test rows... // List<RowMetaAndData> inputList = inputData; Iterator<RowMetaAndData> it = inputList.iterator(); while ( it.hasNext() ) { RowMetaAndData rm = it.next(); rp.putRow( rm.getRowMeta(), rm.getData() ); } rp.finished(); // Wait until the transformation is finished... // trans.waitUntilFinished(); // If there is an error in the result, throw an exception here... // if ( trans.getResult().getNrErrors() > 0 ) { throw new KettleException( "Test transformation finished with errors. Check the log." ); } // Return the result from the dummy step... // return dummyRc.getRowsRead(); }
Example 6
Source File: DatabaseLookupIT.java From pentaho-kettle with Apache License 2.0 | 4 votes |
/** * Test with cache turned off but "Load All Rows" enabled (Load all rows should have no effect) See JIRA PDI-1910 */ @Test public void NOTCachedAndLoadAllRowsDatabaseLookup() throws Exception { KettleEnvironment.init(); // // Create a new transformation... // TransMeta transMeta = new TransMeta(); transMeta.setName( "transname" ); // Add the database connections for ( int i = 0; i < databasesXML.length; i++ ) { DatabaseMeta databaseMeta = new DatabaseMeta( databasesXML[i] ); transMeta.addDatabase( databaseMeta ); } DatabaseMeta dbInfo = transMeta.findDatabase( "db" ); PluginRegistry registry = PluginRegistry.getInstance(); // // create an injector step... // String injectorStepname = "injector step"; InjectorMeta im = new InjectorMeta(); // Set the information of the injector. String injectorPid = registry.getPluginId( StepPluginType.class, im ); StepMeta injectorStep = new StepMeta( injectorPid, injectorStepname, im ); transMeta.addStep( injectorStep ); // // create the lookup step... // String lookupName = "look up from [" + lookup_table + "]"; DatabaseLookupMeta dbl = new DatabaseLookupMeta(); dbl.setDatabaseMeta( transMeta.findDatabase( "db" ) ); dbl.setTablename( lookup_table ); dbl.setCached( false ); dbl.setLoadingAllDataInCache( true ); dbl.setEatingRowOnLookupFailure( false ); dbl.setFailingOnMultipleResults( false ); dbl.setOrderByClause( "" ); dbl.setTableKeyField( new String[] { "ID" } ); dbl.setKeyCondition( new String[] { "=" } ); dbl.setStreamKeyField1( new String[] { "int_field" } ); dbl.setStreamKeyField2( new String[] { "" } ); dbl.setReturnValueField( new String[] { "CODE", "STRING" } ); dbl.setReturnValueDefaultType( new int[] { ValueMetaInterface.TYPE_INTEGER, ValueMetaInterface.TYPE_STRING } ); dbl.setReturnValueDefault( new String[] { "-1", "UNDEF" } ); dbl.setReturnValueNewName( new String[] { "RET_CODE", "RET_STRING" } ); String lookupId = registry.getPluginId( StepPluginType.class, dbl ); StepMeta lookupStep = new StepMeta( lookupId, lookupName, dbl ); lookupStep.setDescription( "Reads information from table [" + lookup_table + "] on database [" + dbInfo + "]" ); transMeta.addStep( lookupStep ); TransHopMeta hi = new TransHopMeta( injectorStep, lookupStep ); transMeta.addTransHop( hi ); // Now execute the transformation... Trans trans = new Trans( transMeta ); trans.prepareExecution( null ); StepInterface si = trans.getStepInterface( lookupName, 0 ); RowStepCollector rc = new RowStepCollector(); si.addRowListener( rc ); RowProducer rp = trans.addRowProducer( injectorStepname, 0 ); trans.startThreads(); // add rows List<RowMetaAndData> inputList = createDataRows(); for ( RowMetaAndData rm : inputList ) { rp.putRow( rm.getRowMeta(), rm.getData() ); } rp.finished(); trans.waitUntilFinished(); List<RowMetaAndData> resultRows = rc.getRowsWritten(); List<RowMetaAndData> goldRows = createResultDataRows(); checkRows( goldRows, resultRows ); }
Example 7
Source File: TransTestFactory.java From pentaho-kettle with Apache License 2.0 | 4 votes |
public static Map<String, RowStepCollector> executeTestTransformationError( TransMeta transMeta, String injectorStepname, String testStepname, String dummyStepname, String errorStepName, List<RowMetaAndData> inputData ) throws KettleException { // Now execute the transformation... Trans trans = new Trans( transMeta ); trans.prepareExecution( null ); // Capture the rows that come out of the dummy step... // StepInterface si = trans.getStepInterface( dummyStepname, 0 ); RowStepCollector dummyRc = new RowStepCollector(); si.addRowListener( dummyRc ); StepInterface junit = trans.getStepInterface( testStepname, 0 ); RowStepCollector dummyJu = new RowStepCollector(); junit.addRowListener( dummyJu ); // add error handler StepInterface er = trans.getStepInterface( errorStepName, 0 ); RowStepCollector erColl = new RowStepCollector(); er.addRowListener( erColl ); // Add a row producer... // RowProducer rp = trans.addRowProducer( injectorStepname, 0 ); // Start the steps... // trans.startThreads(); // Inject the actual test rows... // List<RowMetaAndData> inputList = inputData; Iterator<RowMetaAndData> it = inputList.iterator(); while ( it.hasNext() ) { RowMetaAndData rm = it.next(); rp.putRow( rm.getRowMeta(), rm.getData() ); } rp.finished(); // Wait until the transformation is finished... // trans.waitUntilFinished(); // If there is an error in the result, throw an exception here... // if ( trans.getResult().getNrErrors() > 0 ) { throw new KettleException( "Test transformation finished with errors. Check the log." ); } // Return the result from the dummy step... Map<String, RowStepCollector> ret = new HashMap<String, RowStepCollector>(); ret.put( dummyStepname, dummyRc ); ret.put( errorStepName, erColl ); ret.put( testStepname, dummyJu ); return ret; }
Example 8
Source File: ParameterSimpleTransIT.java From pentaho-kettle with Apache License 2.0 | 4 votes |
/** * Test case for parameters using a simple transformation. * * @throws Exception * exception on any problem. */ public void testParameterSimpleTrans1() throws Exception { KettleEnvironment.init(); // // Create a new transformation... // TransMeta transMeta = new TransMeta(); transMeta.setName( "parameter_simple_trans1" ); PluginRegistry registry = PluginRegistry.getInstance(); // // create a get variables step... // String getVariablesStepname = "get variables step"; GetVariableMeta gvm = new GetVariableMeta(); // Set the information of the get variables step. String getVariablesPid = registry.getPluginId( StepPluginType.class, gvm ); StepMeta getVariablesStep = new StepMeta( getVariablesPid, getVariablesStepname, gvm ); transMeta.addStep( getVariablesStep ); // // Generate 1 row // String[] fieldName = { "PARAM1", "PARAM2" }; String[] varName = { "${Param1}", "%%PARAM2%%" }; int[] fieldType = { ValueMetaInterface.TYPE_STRING, ValueMetaInterface.TYPE_STRING }; int[] length = { -1, -1 }; int[] precision = { -1, -1 }; String[] format = { "", "" }; String[] currency = { "", "" }; String[] decimal = { "", "" }; String[] grouping = { "", "" }; int[] trimType = { ValueMetaInterface.TRIM_TYPE_NONE, ValueMetaInterface.TRIM_TYPE_NONE }; FieldDefinition[] fields = new FieldDefinition[fieldName.length]; for ( int i = 0; i < fields.length; i++ ) { FieldDefinition field = new FieldDefinition(); field.setFieldName( fieldName[i] ); field.setVariableString( varName[i] ); field.setFieldType( fieldType[i] ); field.setFieldLength( length[i] ); field.setFieldPrecision( precision[i] ); field.setFieldFormat( format[i] ); field.setCurrency( currency[i] ); field.setDecimal( decimal[i] ); field.setGroup( grouping[i] ); field.setTrimType( trimType[i] ); fields[i] = field; } gvm.setFieldDefinitions( fields ); // // Create a dummy step 1 // String dummyStepname1 = "dummy step 1"; DummyTransMeta dm1 = new DummyTransMeta(); String dummyPid1 = registry.getPluginId( StepPluginType.class, dm1 ); StepMeta dummyStep1 = new StepMeta( dummyPid1, dummyStepname1, dm1 ); transMeta.addStep( dummyStep1 ); TransHopMeta hi1 = new TransHopMeta( getVariablesStep, dummyStep1 ); transMeta.addTransHop( hi1 ); // Now execute the transformation... Trans trans = new Trans( transMeta ); trans.addParameterDefinition( "Param1", "", "Parameter 1" ); trans.addParameterDefinition( "PARAM2", "", "Parameter 2" ); trans.setParameterValue( "Param1", "ParamValue1" ); trans.setParameterValue( "PARAM2", "PARAMVALUE2" ); trans.prepareExecution( null ); StepInterface si = trans.getStepInterface( dummyStepname1, 0 ); RowStepCollector endRc = new RowStepCollector(); si.addRowListener( endRc ); trans.startThreads(); trans.waitUntilFinished(); // Now check whether the output is still as we expect. List<RowMetaAndData> goldenImageRows = createResultData1(); List<RowMetaAndData> resultRows1 = endRc.getRowsWritten(); checkRows( resultRows1, goldenImageRows ); }
Example 9
Source File: JavaScriptSpecialIT.java From pentaho-kettle with Apache License 2.0 | 4 votes |
/** * Test case for javascript functionality: trans_Status and SKIP_TRANSFORMATION. Regression test case for JIRA defect * PDI-364. */ public void testTransStatus() throws Exception { KettleEnvironment.init(); // // Create a new transformation... // TransMeta transMeta = new TransMeta(); transMeta.setName( "test javascript trans_Status" ); PluginRegistry registry = PluginRegistry.getInstance(); // // create an injector step... // String injectorStepname = "injector step"; InjectorMeta im = new InjectorMeta(); // Set the information of the injector. String injectorPid = registry.getPluginId( StepPluginType.class, im ); StepMeta injectorStep = new StepMeta( injectorPid, injectorStepname, im ); transMeta.addStep( injectorStep ); // // Create a javascript step // String javaScriptStepname = "javascript step"; ScriptValuesMetaMod svm = new ScriptValuesMetaMod(); // process 3 rows and skip the rest. ScriptValuesScript[] js = new ScriptValuesScript[] { new ScriptValuesScript( ScriptValuesScript.TRANSFORM_SCRIPT, "script", "trans_Status = CONTINUE_TRANSFORMATION;\n" + "if (getProcessCount(\"r\") > 3) {\n" + " \ttrans_Status = SKIP_TRANSFORMATION;\n" + "}" ) }; svm.setJSScripts( js ); svm.setFieldname( new String[] {} ); svm.setRename( new String[] {} ); svm.setType( new int[] {} ); svm.setLength( new int[] {} ); svm.setPrecision( new int[] {} ); svm.setCompatible( false ); String javaScriptStepPid = registry.getPluginId( StepPluginType.class, svm ); StepMeta javaScriptStep = new StepMeta( javaScriptStepPid, javaScriptStepname, svm ); transMeta.addStep( javaScriptStep ); TransHopMeta hi1 = new TransHopMeta( injectorStep, javaScriptStep ); transMeta.addTransHop( hi1 ); // // Create a dummy step // String dummyStepname = "dummy step"; DummyTransMeta dm = new DummyTransMeta(); String dummyPid = registry.getPluginId( StepPluginType.class, dm ); StepMeta dummyStep = new StepMeta( dummyPid, dummyStepname, dm ); transMeta.addStep( dummyStep ); TransHopMeta hi2 = new TransHopMeta( javaScriptStep, dummyStep ); transMeta.addTransHop( hi2 ); // Now execute the transformation... Trans trans = new Trans( transMeta ); trans.prepareExecution( null ); StepInterface si; si = trans.getStepInterface( javaScriptStepname, 0 ); RowStepCollector javaScriptRc = new RowStepCollector(); si.addRowListener( javaScriptRc ); si = trans.getStepInterface( dummyStepname, 0 ); RowStepCollector dummyRc = new RowStepCollector(); si.addRowListener( dummyRc ); RowProducer rp = trans.addRowProducer( injectorStepname, 0 ); trans.startThreads(); // add rows List<RowMetaAndData> inputList = createData1(); Iterator<RowMetaAndData> it = inputList.iterator(); while ( it.hasNext() ) { RowMetaAndData rm = it.next(); rp.putRow( rm.getRowMeta(), rm.getData() ); } rp.finished(); trans.waitUntilFinished(); List<RowMetaAndData> goldenImageRows = createResultData2(); List<RowMetaAndData> resultRows1 = javaScriptRc.getRowsWritten(); checkRows( resultRows1, goldenImageRows ); List<RowMetaAndData> resultRows2 = dummyRc.getRowsRead(); checkRows( resultRows2, goldenImageRows ); }
Example 10
Source File: UniqueRowsIT.java From pentaho-kettle with Apache License 2.0 | 4 votes |
public void testSortCaseInsensitiveUniqueCaseSensitive() throws Exception { KettleEnvironment.init(); // // Create a new transformation... // TransMeta transMeta = new TransMeta(); transMeta.setName( "uniquerowstest" ); PluginRegistry registry = PluginRegistry.getInstance(); // // create an injector step... // String injectorStepname = "injector step"; InjectorMeta im = new InjectorMeta(); // Set the information of the injector. String injectorPid = registry.getPluginId( StepPluginType.class, im ); StepMeta injectorStep = new StepMeta( injectorPid, injectorStepname, im ); transMeta.addStep( injectorStep ); // // Create a sort rows step // String sortRowsStepname = "sort rows step"; SortRowsMeta srm = new SortRowsMeta(); srm.setFieldName( new String[] { "KEY" } ); srm.setAscending( new boolean[] { true } ); srm.setCaseSensitive( new boolean[] { false } ); srm.setPreSortedField( new boolean[] { false } ); srm.setPrefix( "SortRowsTest" ); srm.setDirectory( "." ); String sortRowsStepPid = registry.getPluginId( StepPluginType.class, srm ); StepMeta sortRowsStep = new StepMeta( sortRowsStepPid, sortRowsStepname, srm ); transMeta.addStep( sortRowsStep ); transMeta.addTransHop( new TransHopMeta( injectorStep, sortRowsStep ) ); // // Create a unique rows step // String uniqueRowsStepname = "unique rows step"; UniqueRowsMeta urm = new UniqueRowsMeta(); urm.setCompareFields( new String[] { "KEY" } ); urm.setCaseInsensitive( new boolean[] { false } ); String uniqueRowsStepPid = registry.getPluginId( StepPluginType.class, urm ); StepMeta uniqueRowsStep = new StepMeta( uniqueRowsStepPid, uniqueRowsStepname, urm ); transMeta.addStep( uniqueRowsStep ); transMeta.addTransHop( new TransHopMeta( sortRowsStep, uniqueRowsStep ) ); // // Create a dummy step // String dummyStepname = "dummy step"; DummyTransMeta dm = new DummyTransMeta(); String dummyPid = registry.getPluginId( StepPluginType.class, dm ); StepMeta dummyStep = new StepMeta( dummyPid, dummyStepname, dm ); transMeta.addStep( dummyStep ); transMeta.addTransHop( new TransHopMeta( uniqueRowsStep, dummyStep ) ); // Now execute the transformation... Trans trans = new Trans( transMeta ); trans.prepareExecution( null ); StepInterface si = trans.getStepInterface( dummyStepname, 0 ); RowStepCollector dummyRc = new RowStepCollector(); si.addRowListener( dummyRc ); RowProducer rp = trans.addRowProducer( injectorStepname, 0 ); trans.startThreads(); // add rows List<RowMetaAndData> inputList = createData(); for ( RowMetaAndData rm : inputList ) { rp.putRow( rm.getRowMeta(), rm.getData() ); } rp.finished(); trans.waitUntilFinished(); List<RowMetaAndData> resultRows = dummyRc.getRowsWritten(); checkRows( createResultDataSortCaseInsensitiveUniqueCaseSensitive(), resultRows ); }
Example 11
Source File: TableInputIT.java From pentaho-kettle with Apache License 2.0 | 4 votes |
/** * Test case for table input which is taking its input from a hop. This is a regression test case for JIRA PDI-588. * * The query in the table input step has one '?' and this parameter is filled by values read from an input hop. */ public void testTableInputWithParam() throws Exception { KettleEnvironment.init(); // // Create a new transformation... // TransMeta transMeta = new TransMeta(); transMeta.setName( "transname" ); // Add the database connections for ( int i = 0; i < databasesXML.length; i++ ) { DatabaseMeta databaseMeta = new DatabaseMeta( databasesXML[i] ); transMeta.addDatabase( databaseMeta ); } DatabaseMeta dbInfo = transMeta.findDatabase( "db" ); // Execute our setup SQLs in the database. Database database = new Database( transMeta, dbInfo ); database.connect(); createTables( database ); createData( database ); PluginRegistry registry = PluginRegistry.getInstance(); // // create an injector step... // String injectorStepname = "injector step"; InjectorMeta im = new InjectorMeta(); // Set the information of the injector. String injectorPid = registry.getPluginId( StepPluginType.class, im ); StepMeta injectorStep = new StepMeta( injectorPid, injectorStepname, im ); transMeta.addStep( injectorStep ); // // create the source step... // String fromstepname = "read from [" + source_table + "]"; TableInputMeta tii = new TableInputMeta(); tii.setDatabaseMeta( transMeta.findDatabase( "db" ) ); tii.setLookupFromStep( injectorStep ); tii.setExecuteEachInputRow( true ); String selectSQL = "SELECT " + Const.CR; selectSQL += "ID, CODE "; selectSQL += "FROM " + source_table + " WHERE CODE = ? ORDER BY ID, CODE;"; tii.setSQL( selectSQL ); String fromstepid = registry.getPluginId( StepPluginType.class, tii ); StepMeta fromstep = new StepMeta( fromstepid, fromstepname, tii ); fromstep.setDescription( "Reads information from table [" + source_table + "] on database [" + dbInfo + "]" ); transMeta.addStep( fromstep ); TransHopMeta hi = new TransHopMeta( injectorStep, fromstep ); transMeta.addTransHop( hi ); // Now execute the transformation... Trans trans = new Trans( transMeta ); trans.prepareExecution( null ); StepInterface si = trans.getStepInterface( fromstepname, 0 ); RowStepCollector rc = new RowStepCollector(); si.addRowListener( rc ); RowProducer rp = trans.addRowProducer( injectorStepname, 0 ); trans.startThreads(); // add rows List<RowMetaAndData> inputList = createDataRows(); for ( RowMetaAndData rm : inputList ) { rp.putRow( rm.getRowMeta(), rm.getData() ); } rp.finished(); trans.waitUntilFinished(); List<RowMetaAndData> resultRows = rc.getRowsWritten(); List<RowMetaAndData> goldRows = createResultDataRows(); checkRows( goldRows, resultRows ); }
Example 12
Source File: InsertUpdateIT.java From pentaho-kettle with Apache License 2.0 | 4 votes |
@Override @Before public void setUp() throws Exception { KettleEnvironment.init(); /* SET UP TRANSFORMATION */ // Create a new transformation... TransMeta transMeta = new TransMeta(); transMeta.setName( "insert/update test" ); // Add the database connections for ( int i = 0; i < databasesXML.length; i++ ) { DatabaseMeta databaseMeta = new DatabaseMeta( databasesXML[i] ); transMeta.addDatabase( databaseMeta ); } DatabaseMeta dbInfo = transMeta.findDatabase( "db" ); /* SET UP DATABASE */ // Create target table db = new Database( transMeta, dbInfo ); db.connect(); String source = db.getCreateTableStatement( TARGET_TABLE, getTargetTableRowMeta(), null, false, null, true ); db.execStatement( source ); // populate target table for ( String sql : insertStatement ) { db.execStatement( sql ); } /* SET UP TRANSFORMATION STEPS */ PluginRegistry registry = PluginRegistry.getInstance(); // create an injector step... String injectorStepName = "injector step"; InjectorMeta im = new InjectorMeta(); // Set the information of the injector. String injectorPid = registry.getPluginId( StepPluginType.class, im ); StepMeta injectorStep = new StepMeta( injectorPid, injectorStepName, im ); transMeta.addStep( injectorStep ); // create the update step... String updateStepName = "insert/update [" + TARGET_TABLE + "]"; insupd = new InsertUpdateMeta(); insupd.setDatabaseMeta( transMeta.findDatabase( "db" ) ); insupd.setTableName( TARGET_TABLE ); insupd.setUpdateLookup( new String[] { "VALUE", "ROW_ORDER" } ); insupd.setUpdateStream( new String[] { "VALUE", "ROW_ORDER" } ); insupd.setUpdate( new Boolean[] { true, false } ); String fromid = registry.getPluginId( StepPluginType.class, insupd ); StepMeta updateStep = new StepMeta( fromid, updateStepName, insupd ); updateStep.setDescription( "insert/update data in table [" + TARGET_TABLE + "] on database [" + dbInfo + "]" ); transMeta.addStep( updateStep ); TransHopMeta hi = new TransHopMeta( injectorStep, updateStep ); transMeta.addTransHop( hi ); /* PREPARE TRANSFORMATION EXECUTION */ trans = new Trans( transMeta ); trans.prepareExecution( null ); StepInterface si = trans.getStepInterface( updateStepName, 0 ); rc = new RowStepCollector(); si.addRowListener( rc ); rp = trans.addRowProducer( injectorStepName, 0 ); }
Example 13
Source File: UniqueRowsIT.java From pentaho-kettle with Apache License 2.0 | 4 votes |
public void testCaseSensitiveNoPreviousSort() throws Exception { KettleEnvironment.init(); // // Create a new transformation... // TransMeta transMeta = new TransMeta(); transMeta.setName( "uniquerowstest" ); PluginRegistry registry = PluginRegistry.getInstance(); // // create an injector step... // String injectorStepname = "injector step"; InjectorMeta im = new InjectorMeta(); // Set the information of the injector. String injectorPid = registry.getPluginId( StepPluginType.class, im ); StepMeta injectorStep = new StepMeta( injectorPid, injectorStepname, im ); transMeta.addStep( injectorStep ); // // Create a unique rows step // String uniqueRowsStepname = "unique rows step"; UniqueRowsMeta urm = new UniqueRowsMeta(); urm.setCompareFields( new String[] { "KEY" } ); urm.setCaseInsensitive( new boolean[] { false } ); String uniqueRowsStepPid = registry.getPluginId( StepPluginType.class, urm ); StepMeta uniqueRowsStep = new StepMeta( uniqueRowsStepPid, uniqueRowsStepname, urm ); transMeta.addStep( uniqueRowsStep ); transMeta.addTransHop( new TransHopMeta( injectorStep, uniqueRowsStep ) ); // // Create a dummy step // String dummyStepname = "dummy step"; DummyTransMeta dm = new DummyTransMeta(); String dummyPid = registry.getPluginId( StepPluginType.class, dm ); StepMeta dummyStep = new StepMeta( dummyPid, dummyStepname, dm ); transMeta.addStep( dummyStep ); transMeta.addTransHop( new TransHopMeta( uniqueRowsStep, dummyStep ) ); // Now execute the transformation... Trans trans = new Trans( transMeta ); trans.prepareExecution( null ); StepInterface si = trans.getStepInterface( dummyStepname, 0 ); RowStepCollector dummyRc = new RowStepCollector(); si.addRowListener( dummyRc ); RowProducer rp = trans.addRowProducer( injectorStepname, 0 ); trans.startThreads(); // add rows List<RowMetaAndData> inputList = createData(); for ( RowMetaAndData rm : inputList ) { rp.putRow( rm.getRowMeta(), rm.getData() ); } rp.finished(); trans.waitUntilFinished(); List<RowMetaAndData> resultRows = dummyRc.getRowsWritten(); checkRows( createResultDataCaseSensitiveNoPreviousSort(), resultRows ); }
Example 14
Source File: SimpleMapping.java From pentaho-kettle with Apache License 2.0 | 4 votes |
/** * Process a single row. In our case, we send one row of data to a piece of transformation. In the transformation, we * look up the MappingInput step to send our rows to it. As a consequence, for the time being, there can only be one * MappingInput and one MappingOutput step in the Mapping. */ public boolean processRow( StepMetaInterface smi, StepDataInterface sdi ) throws KettleException { meta = (SimpleMappingMeta) smi; setData( (SimpleMappingData) sdi ); SimpleMappingData simpleMappingData = getData(); try { if ( first ) { first = false; simpleMappingData.wasStarted = true; // Rows read are injected into the one available Mapping Input step // String mappingInputStepname = simpleMappingData.mappingInput.getStepname(); RowProducer rowProducer = simpleMappingData.mappingTrans.addRowProducer( mappingInputStepname, 0 ); simpleMappingData.rowDataInputMapper = new RowDataInputMapper( meta.getInputMapping(), rowProducer ); // Rows produced by the mapping are read and passed on. // String mappingOutputStepname = simpleMappingData.mappingOutput.getStepname(); StepInterface outputStepInterface = simpleMappingData.mappingTrans.findStepInterface( mappingOutputStepname, 0 ); RowOutputDataMapper outputDataMapper = new RowOutputDataMapper( meta.getInputMapping(), meta.getOutputMapping(), new PutRowInterface() { @Override public void putRow( RowMetaInterface rowMeta, Object[] rowData ) throws KettleStepException { SimpleMapping.this.putRow( rowMeta, rowData ); } } ); outputStepInterface.addRowListener( outputDataMapper ); // Start the mapping/sub-transformation threads // simpleMappingData.mappingTrans.startThreads(); } // The data we read we pass to the mapping // Object[] row = getRow(); boolean rowWasPut = false; if ( row != null ) { while ( !( data.mappingTrans.isFinishedOrStopped() || rowWasPut ) ) { rowWasPut = data.rowDataInputMapper.putRow( getInputRowMeta(), row ); } } if ( !rowWasPut ) { simpleMappingData.rowDataInputMapper.finished(); simpleMappingData.mappingTrans.waitUntilFinished(); setOutputDone(); return false; } return true; } catch ( Throwable t ) { // Some unexpected situation occurred. // Better to stop the mapping transformation. // if ( simpleMappingData.mappingTrans != null ) { simpleMappingData.mappingTrans.stopAll(); } // Forward the exception... // throw new KettleException( t ); } }
Example 15
Source File: CsvInputBase.java From pentaho-kettle with Apache License 2.0 | 4 votes |
protected Trans createAndTestTrans( PluginRegistry registry, TransMeta transMeta, StepMeta injectorStep, StepMeta csvInputStep, String fileName, int numRows ) throws KettleException { TransHopMeta hi = new TransHopMeta( injectorStep, csvInputStep ); transMeta.addTransHop( hi ); // // Create a dummy step 1 // String dummyStepname1 = "dummy step 1"; DummyTransMeta dm1 = new DummyTransMeta(); String dummyPid1 = registry.getPluginId( StepPluginType.class, dm1 ); StepMeta dummyStep1 = new StepMeta( dummyPid1, dummyStepname1, dm1 ); transMeta.addStep( dummyStep1 ); TransHopMeta hi1 = new TransHopMeta( csvInputStep, dummyStep1 ); transMeta.addTransHop( hi1 ); // Now execute the transformation... Trans trans = new Trans( transMeta ); trans.prepareExecution( null ); StepInterface si = trans.getStepInterface( dummyStepname1, 0 ); RowStepCollector dummyRc1 = new RowStepCollector(); si.addRowListener( dummyRc1 ); RowProducer rp = trans.addRowProducer( injectorStep.getName(), 0 ); trans.startThreads(); // add rows List<RowMetaAndData> inputList = createData( fileName ); Iterator<RowMetaAndData> it = inputList.iterator(); while ( it.hasNext() ) { RowMetaAndData rm = it.next(); rp.putRow( rm.getRowMeta(), rm.getData() ); } rp.finished(); trans.waitUntilFinished(); // Compare the results List<RowMetaAndData> resultRows = dummyRc1.getRowsWritten(); List<RowMetaAndData> goldenImageRows = createResultData1(); checkRows( goldenImageRows, resultRows, numRows ); return trans; }
Example 16
Source File: ExecSQLRowIT.java From pentaho-kettle with Apache License 2.0 | 4 votes |
/** * Basic Test case for Exec SQL Row. This tests a commit size of three (i.e. not autocommit but equal to input row * size) */ @Test public void testExecSQLRow4() throws Exception { KettleEnvironment.init(); // // Create a new transformation... // TransMeta transMeta = new TransMeta(); transMeta.setName( "transname" ); // Add the database connections for ( int i = 0; i < databasesXML.length; i++ ) { DatabaseMeta databaseMeta = new DatabaseMeta( databasesXML[i] ); transMeta.addDatabase( databaseMeta ); } DatabaseMeta dbInfo = transMeta.findDatabase( "db" ); PluginRegistry registry = PluginRegistry.getInstance(); // // create an injector step... // String injectorStepname = "injector step"; InjectorMeta im = new InjectorMeta(); // Set the information of the injector. String injectorPid = registry.getPluginId( StepPluginType.class, im ); StepMeta injectorStep = new StepMeta( injectorPid, injectorStepname, im ); transMeta.addStep( injectorStep ); // // create the Exec SQL Row step... // String stepName = "delete from [" + execsqlrow_testtable + "]"; ExecSQLRowMeta execsqlmeta = new ExecSQLRowMeta(); execsqlmeta.setDatabaseMeta( transMeta.findDatabase( "db" ) ); execsqlmeta.setCommitSize( 3 ); execsqlmeta.setSqlFieldName( "SQL" ); String execSqlRowId = registry.getPluginId( StepPluginType.class, execsqlmeta ); StepMeta execSqlRowStep = new StepMeta( execSqlRowId, stepName, execsqlmeta ); execSqlRowStep.setDescription( "Deletes information from table [" + execsqlrow_testtable + "] on database [" + dbInfo + "]" ); transMeta.addStep( execSqlRowStep ); TransHopMeta hi = new TransHopMeta( injectorStep, execSqlRowStep ); transMeta.addTransHop( hi ); // Now execute the transformation... Trans trans = new Trans( transMeta ); trans.prepareExecution( null ); StepInterface si = trans.getStepInterface( stepName, 0 ); RowStepCollector rc = new RowStepCollector(); si.addRowListener( rc ); RowProducer rp = trans.addRowProducer( injectorStepname, 0 ); trans.startThreads(); // add rows List<RowMetaAndData> inputList = createDataRows(); for ( RowMetaAndData rm : inputList ) { rp.putRow( rm.getRowMeta(), rm.getData() ); } rp.finished(); trans.waitUntilFinished(); List<RowMetaAndData> resultRows = rc.getRowsWritten(); List<RowMetaAndData> goldRows = createResultDataRows(); checkRows( goldRows, resultRows ); }
Example 17
Source File: UniqueRowsIT.java From pentaho-kettle with Apache License 2.0 | 4 votes |
public void testCaseInsensitiveNoPreviousSort() throws Exception { KettleEnvironment.init(); // // Create a new transformation... // TransMeta transMeta = new TransMeta(); transMeta.setName( "uniquerowstest" ); PluginRegistry registry = PluginRegistry.getInstance(); // // create an injector step... // String injectorStepname = "injector step"; InjectorMeta im = new InjectorMeta(); // Set the information of the injector. String injectorPid = registry.getPluginId( StepPluginType.class, im ); StepMeta injectorStep = new StepMeta( injectorPid, injectorStepname, im ); transMeta.addStep( injectorStep ); // // Create a unique rows step // String uniqueRowsStepname = "unique rows step"; UniqueRowsMeta urm = new UniqueRowsMeta(); urm.setCompareFields( new String[] { "KEY" } ); urm.setCaseInsensitive( new boolean[] { true } ); String uniqueRowsStepPid = registry.getPluginId( StepPluginType.class, urm ); StepMeta uniqueRowsStep = new StepMeta( uniqueRowsStepPid, uniqueRowsStepname, urm ); transMeta.addStep( uniqueRowsStep ); transMeta.addTransHop( new TransHopMeta( injectorStep, uniqueRowsStep ) ); // // Create a dummy step // String dummyStepname = "dummy step"; DummyTransMeta dm = new DummyTransMeta(); String dummyPid = registry.getPluginId( StepPluginType.class, dm ); StepMeta dummyStep = new StepMeta( dummyPid, dummyStepname, dm ); transMeta.addStep( dummyStep ); transMeta.addTransHop( new TransHopMeta( uniqueRowsStep, dummyStep ) ); // Now execute the transformation... Trans trans = new Trans( transMeta ); trans.prepareExecution( null ); StepInterface si = trans.getStepInterface( dummyStepname, 0 ); RowStepCollector dummyRc = new RowStepCollector(); si.addRowListener( dummyRc ); RowProducer rp = trans.addRowProducer( injectorStepname, 0 ); trans.startThreads(); // add rows List<RowMetaAndData> inputList = createData(); for ( RowMetaAndData rm : inputList ) { rp.putRow( rm.getRowMeta(), rm.getData() ); } rp.finished(); trans.waitUntilFinished(); List<RowMetaAndData> resultRows = dummyRc.getRowsWritten(); checkRows( createResultDataCaseInsensitiveNoPreviousSort(), resultRows ); }
Example 18
Source File: JsonOutputTest.java From pentaho-kettle with Apache License 2.0 | 4 votes |
public String test( boolean compatibilityMode ) throws Exception { KettleEnvironment.init(); // Create a new transformation... // TransMeta transMeta = new TransMeta(); transMeta.setName( "testJsonOutput" ); PluginRegistry registry = PluginRegistry.getInstance(); // create an injector step String injectorStepName = "injector step"; StepMeta injectorStep = TestUtilities.createInjectorStep( injectorStepName, registry ); transMeta.addStep( injectorStep ); // create a row generator step StepMeta rowGeneratorStep = createRowGeneratorStep( "Create rows for testJsonOutput1", registry ); transMeta.addStep( rowGeneratorStep ); // create a TransHopMeta for injector and add it to the transMeta TransHopMeta hop_injectory_rowGenerator = new TransHopMeta( injectorStep, rowGeneratorStep ); transMeta.addTransHop( hop_injectory_rowGenerator ); // create the json output step // but first lets get a filename String jsonFileName = TestUtilities.createEmptyTempFile( "testJsonOutput1_" ); StepMeta jsonOutputStep = createJsonOutputStep( "json output step", jsonFileName, registry ); ( (JsonOutputMeta) jsonOutputStep.getStepMetaInterface() ).setCompatibilityMode( compatibilityMode ); transMeta.addStep( jsonOutputStep ); // create a TransHopMeta for jsonOutputStep and add it to the transMeta TransHopMeta hop_RowGenerator_outputTextFile = new TransHopMeta( rowGeneratorStep, jsonOutputStep ); transMeta.addTransHop( hop_RowGenerator_outputTextFile ); // Create a dummy step and add it to the tranMeta String dummyStepName = "dummy step"; StepMeta dummyStep = createDummyStep( dummyStepName, registry ); transMeta.addStep( dummyStep ); // create a TransHopMeta for the TransHopMeta hop_outputJson_dummyStep = new TransHopMeta( jsonOutputStep, dummyStep ); transMeta.addTransHop( hop_outputJson_dummyStep ); // Now execute the transformation... Trans trans = new Trans( transMeta ); trans.prepareExecution( null ); // Create a row collector and add it to the dummy step interface StepInterface dummyStepInterface = trans.getStepInterface( dummyStepName, 0 ); RowStepCollector dummyRowCollector = new RowStepCollector(); dummyStepInterface.addRowListener( dummyRowCollector ); // RowProducer rowProducer = trans.addRowProducer(injectorStepName, 0); trans.startThreads(); trans.waitUntilFinished(); // get the results and return it File outputFile = new File( jsonFileName + ".js" ); String jsonStructure = FileUtils.readFileToString( outputFile ); return jsonStructure; }
Example 19
Source File: JsonInputTest.java From pentaho-kettle with Apache License 2.0 | 4 votes |
public RowComparatorListener( StepInterface step, Object[]... data ) { this.data = data; step.addRowListener( this ); }
Example 20
Source File: ParameterSimpleTransIT.java From pentaho-kettle with Apache License 2.0 | 4 votes |
/** * Test case for parameters using a simple transformation. Check whether parameters override variables. * * @throws Exception * exception on any problem. */ public void testParameterSimpleTrans6() throws Exception { KettleEnvironment.init(); // // Create a new transformation... // TransMeta transMeta = new TransMeta(); transMeta.setName( "parameter_simple_trans4" ); PluginRegistry registry = PluginRegistry.getInstance(); // // create a get variables step... // String getVariablesStepname = "get variables step"; GetVariableMeta gvm = new GetVariableMeta(); // Set the information of the get variables step. String getVariablesPid = registry.getPluginId( StepPluginType.class, gvm ); StepMeta getVariablesStep = new StepMeta( getVariablesPid, getVariablesStepname, gvm ); transMeta.addStep( getVariablesStep ); // // Generate 1 row // String[] fieldName = { "PARAM1", "PARAM2" }; String[] varName = { "${Param1}", "%%PARAM2%%" }; int[] fieldType = { ValueMetaInterface.TYPE_STRING, ValueMetaInterface.TYPE_STRING }; int[] length = { -1, -1 }; int[] precision = { -1, -1 }; String[] format = { "", "" }; String[] currency = { "", "" }; String[] decimal = { "", "" }; String[] grouping = { "", "" }; int[] trimType = { ValueMetaInterface.TRIM_TYPE_NONE, ValueMetaInterface.TRIM_TYPE_NONE }; FieldDefinition[] fields = new FieldDefinition[fieldName.length]; for ( int i = 0; i < fields.length; i++ ) { FieldDefinition field = new FieldDefinition(); field.setFieldName( fieldName[i] ); field.setVariableString( varName[i] ); field.setFieldType( fieldType[i] ); field.setFieldLength( length[i] ); field.setFieldPrecision( precision[i] ); field.setFieldFormat( format[i] ); field.setCurrency( currency[i] ); field.setDecimal( decimal[i] ); field.setGroup( grouping[i] ); field.setTrimType( trimType[i] ); fields[i] = field; } gvm.setFieldDefinitions( fields ); // // Create a dummy step 1 // String dummyStepname1 = "dummy step 1"; DummyTransMeta dm1 = new DummyTransMeta(); String dummyPid1 = registry.getPluginId( StepPluginType.class, dm1 ); StepMeta dummyStep1 = new StepMeta( dummyPid1, dummyStepname1, dm1 ); transMeta.addStep( dummyStep1 ); TransHopMeta hi1 = new TransHopMeta( getVariablesStep, dummyStep1 ); transMeta.addTransHop( hi1 ); // Now execute the transformation... Trans trans = new Trans( transMeta ); trans.addParameterDefinition( "Param1", "", "Parameter 1" ); trans.addParameterDefinition( "PARAM2", "", "Parameter 2" ); trans.setParameterValue( "PARAM2", "PARAMVALUE2" ); // See whether this variable overrides the parameter... it should NOT. Param1 // is defined but not set. And no default... so the variable will be set to "". not // to "Variable1" trans.setVariable( "Param1", "Variable1" ); trans.prepareExecution( null ); StepInterface si = trans.getStepInterface( dummyStepname1, 0 ); RowStepCollector endRc = new RowStepCollector(); si.addRowListener( endRc ); trans.startThreads(); trans.waitUntilFinished(); // Now check whether the output is still as we expect. List<RowMetaAndData> goldenImageRows = createResultData6(); List<RowMetaAndData> resultRows1 = endRc.getRowsWritten(); checkRows( resultRows1, goldenImageRows ); }