public boolean equals(Object obj) {
if (obj != null && (obj.getClass().equals(this.getClass()))) {
CalculatorMeta m = (CalculatorMeta) obj;
return (getXML() == m.getXML());
}
return false;
}
public Object clone() {
CalculatorMeta retval = (CalculatorMeta) super.clone();
if (calculation != null) {
retval.allocate(calculation.length);
for (int i = 0; i < calculation.length; i++) {
retval.getCalculation()[i] = (CalculatorMetaFunction) calculation[i].clone();
}
} else {
retval.allocate(0);
}
return retval;
}
@Test
public void testReturnDigitsOnly() throws KettleException {
RowMeta inputRowMeta = new RowMeta();
ValueMetaString nameMeta = new ValueMetaString("Name");
inputRowMeta.addValueMeta(nameMeta);
ValueMetaString valueMeta = new ValueMetaString("Value");
inputRowMeta.addValueMeta(valueMeta);
RowSet inputRowSet =
smh.getMockInputRowSet(new Object[][] {{"name1", "qwe123asd456zxc"}, {"name2", null}});
inputRowSet.setRowMeta(inputRowMeta);
Calculator calculator =
new Calculator(smh.stepMeta, smh.stepDataInterface, 0, smh.transMeta, smh.trans);
calculator.getInputRowSets().add(inputRowSet);
calculator.setInputRowMeta(inputRowMeta);
calculator.init(smh.initStepMetaInterface, smh.initStepDataInterface);
CalculatorMeta meta = new CalculatorMeta();
meta.setCalculation(
new CalculatorMetaFunction[] {
new CalculatorMetaFunction(
"digits",
CalculatorMetaFunction.CALC_GET_ONLY_DIGITS,
"Value",
null,
null,
ValueMetaInterface.TYPE_STRING,
0,
0,
false,
"",
"",
"",
"")
});
// Verify output
try {
calculator.addRowListener(
new RowAdapter() {
@Override
public void rowWrittenEvent(RowMetaInterface rowMeta, Object[] row)
throws KettleStepException {
assertEquals("123456", row[2]);
}
});
calculator.processRow(meta, new CalculatorData());
} catch (KettleException ke) {
ke.printStackTrace();
fail();
}
}
@Test
public void calculatorShouldClearDataInstance() throws Exception {
RowMeta inputRowMeta = new RowMeta();
ValueMetaInteger valueMeta = new ValueMetaInteger("Value");
inputRowMeta.addValueMeta(valueMeta);
RowSet inputRowSet = smh.getMockInputRowSet(new Object[] {-1L});
inputRowSet.setRowMeta(inputRowMeta);
Calculator calculator =
new Calculator(smh.stepMeta, smh.stepDataInterface, 0, smh.transMeta, smh.trans);
calculator.getInputRowSets().add(inputRowSet);
calculator.setInputRowMeta(inputRowMeta);
calculator.init(smh.initStepMetaInterface, smh.initStepDataInterface);
CalculatorMeta meta = new CalculatorMeta();
meta.setCalculation(
new CalculatorMetaFunction[] {
new CalculatorMetaFunction(
"test",
CalculatorMetaFunction.CALC_ABS,
"Value",
null,
null,
ValueMetaInterface.TYPE_STRING,
0,
0,
false,
"",
"",
"",
"")
});
CalculatorData data = new CalculatorData();
data = spy(data);
calculator.processRow(meta, data);
verify(data).getValueMetaFor(eq(valueMeta.getType()), anyString());
calculator.processRow(meta, data);
verify(data).clearValuesMetaMapping();
}
public void testCalculator1() throws Exception {
KettleEnvironment.init();
PluginRegistry registry = PluginRegistry.getInstance();
//
// Create a new transformation...
//
TransMeta transMeta = new TransMeta();
transMeta.setName("calculatortest1");
//
// create a row generator step...
//
String rowGeneratorStepname = "row generator step";
RowGeneratorMeta rm = new RowGeneratorMeta();
// Set the information of the row generator.
String rowGeneratorPid = registry.getPluginId(StepPluginType.class, rm);
StepMeta rowGeneratorStep = new StepMeta(rowGeneratorPid, rowGeneratorStepname, rm);
transMeta.addStep(rowGeneratorStep);
//
// Generate 1 empty row
//
String[] strDummies = {};
int[] intDummies = {};
rm.setDefault();
rm.setFieldName(strDummies);
rm.setFieldType(strDummies);
rm.setValue(strDummies);
rm.setFieldLength(intDummies);
rm.setFieldPrecision(intDummies);
rm.setRowLimit("1");
rm.setFieldFormat(strDummies);
rm.setGroup(strDummies);
rm.setDecimal(strDummies);
//
// Add calculator step.
//
String calculatorStepname1 = "calculator 1";
CalculatorMeta calc1 = new CalculatorMeta();
CalculatorMetaFunction[] calculations =
new CalculatorMetaFunction[] {
new CalculatorMetaFunction(
"timestamp1", // fieldName
CalculatorMetaFunction.CALC_CONSTANT, // calctype
"1970-01-01 00:00:00.100100", // fieldA
"", // String fieldB
"", // String fieldC
ValueMetaInterface.TYPE_TIMESTAMP, // valueType,
0, // int valueLength,
0, // int valuePrecision,
false, // boolean removedFromResult,
"", // String conversionMask,
"", // String decimalSymbol,
"", // String groupingSymbol,
"" // String currencySymbol
),
new CalculatorMetaFunction(
"int1", // fieldName
CalculatorMetaFunction.CALC_CONSTANT, // calctype
"1", // fieldA
"", // String fieldB
"", // String fieldC
ValueMetaInterface.TYPE_INTEGER, // valueType,
0, // int valueLength,
0, // int valuePrecision,
false, // boolean removedFromResult,
"", // String conversionMask,
"", // String decimalSymbol,
"", // String groupingSymbol,
"" // String currencySymbol
),
new CalculatorMetaFunction(
"timestamp plus 1 day", // fieldName
CalculatorMetaFunction.CALC_ADD_DAYS, // calctype
"timestamp1", // fieldA
"int1", // String fieldB
"", // String fieldC
ValueMetaInterface.TYPE_DATE, // valueType,
0, // int valueLength,
0, // int valuePrecision,
false, // boolean removedFromResult,
"", // String conversionMask,
"", // String decimalSymbol,
"", // String groupingSymbol,
"" // String currencySymbol
)
};
calc1.setCalculation(calculations);
//
String calculatorPid1 = registry.getPluginId(StepPluginType.class, calc1);
StepMeta calcualtorStep1 = new StepMeta(calculatorPid1, calculatorStepname1, calc1);
transMeta.addStep(calcualtorStep1);
//
TransHopMeta hi1 = new TransHopMeta(rowGeneratorStep, calcualtorStep1);
transMeta.addTransHop(hi1);
// Now execute the transformation...
Trans trans = new Trans(transMeta);
trans.prepareExecution(null);
StepInterface si = trans.getStepInterface(calculatorStepname1, 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);
}
public void assertRoundGeneral(
final Object expectedResult,
final int calcFunction,
final Number value,
final Long precision,
final Long roundingMode,
final int valueDataType,
final int functionDataType)
throws KettleException {
final String msg =
getKettleTypeName(valueDataType) + "->" + getKettleTypeName(functionDataType) + " ";
final RowMeta inputRowMeta = new RowMeta();
final List<Object> inputValues = new ArrayList<Object>(3);
final String fieldValue = "Value";
final ValueMetaInterface valueMeta;
switch (valueDataType) {
case ValueMetaInterface.TYPE_BIGNUMBER:
valueMeta = new ValueMetaBigNumber(fieldValue);
break;
case ValueMetaInterface.TYPE_NUMBER:
valueMeta = new ValueMetaNumber(fieldValue);
break;
case ValueMetaInterface.TYPE_INTEGER:
valueMeta = new ValueMetaInteger(fieldValue);
break;
default:
throw new IllegalArgumentException(
msg
+ "Unexpected value dataType: "
+ value.getClass().getName()
+ ". Long, Double or BigDecimal expected.");
}
inputRowMeta.addValueMeta(valueMeta);
inputValues.add(value);
final String fieldPrecision;
final ValueMetaInteger precisionMeta;
if (precision == null) {
fieldPrecision = null;
precisionMeta = null;
} else {
fieldPrecision = "Precision";
precisionMeta = new ValueMetaInteger(fieldPrecision);
inputRowMeta.addValueMeta(precisionMeta);
inputValues.add(precision);
}
final String fieldRoundingMode;
final ValueMetaInteger roundingModeMeta;
if (roundingMode == null) {
fieldRoundingMode = null;
roundingModeMeta = null;
} else {
fieldRoundingMode = "RoundingMode";
roundingModeMeta = new ValueMetaInteger(fieldRoundingMode);
inputRowMeta.addValueMeta(roundingModeMeta);
inputValues.add(roundingMode);
}
RowSet inputRowSet = smh.getMockInputRowSet(inputValues.toArray());
inputRowSet.setRowMeta(inputRowMeta);
final String fieldA =
inputRowMeta.size() > 0 ? inputRowMeta.getValueMetaList().get(0).getName() : null;
final String fieldB =
inputRowMeta.size() > 1 ? inputRowMeta.getValueMetaList().get(1).getName() : null;
final String fieldC =
inputRowMeta.size() > 2 ? inputRowMeta.getValueMetaList().get(2).getName() : null;
final int resultDataType = functionDataType;
final String fieldResult = "test";
final int expectedResultRowSize = inputRowMeta.size() + 1;
Calculator calculator =
new Calculator(smh.stepMeta, smh.stepDataInterface, 0, smh.transMeta, smh.trans);
calculator.getInputRowSets().add(inputRowSet);
calculator.setInputRowMeta(inputRowMeta);
calculator.init(smh.initStepMetaInterface, smh.initStepDataInterface);
CalculatorMeta meta = new CalculatorMeta();
meta.setCalculation(
new CalculatorMetaFunction[] {
new CalculatorMetaFunction(
fieldResult,
calcFunction,
fieldA,
fieldB,
fieldC,
resultDataType,
2,
0,
false,
"",
"",
"",
"")
});
// Verify output
try {
calculator.addRowListener(
new RowAdapter() {
@Override
public void rowWrittenEvent(RowMetaInterface rowMeta, Object[] row)
throws KettleStepException {
assertEquals(msg + " resultRowSize", expectedResultRowSize, rowMeta.size());
final int fieldResultIndex = rowMeta.size() - 1;
assertEquals(
msg + " fieldResult",
fieldResult,
rowMeta.getValueMeta(fieldResultIndex).getName());
assertEquals(msg, expectedResult, row[fieldResultIndex]);
}
});
calculator.processRow(meta, new CalculatorData());
} catch (KettleException ke) {
ke.printStackTrace();
fail(msg + ke.getMessage());
}
}