public boolean processRow(StepMetaInterface smi, StepDataInterface sdi) throws KettleException {
meta = (FormulaMeta) smi;
data = (FormulaData) sdi;
Object[] r = getRow(); // get row, set busy!
if (r == null) { // no more input to be expected...
setOutputDone();
return false;
}
if (first) {
first = false;
data.outputRowMeta = getInputRowMeta().clone();
meta.getFields(data.outputRowMeta, getStepname(), null, null, this, repository, metaStore);
// Create the context
data.context = new RowForumulaContext(data.outputRowMeta);
data.parser = new FormulaParser();
// Calculate replace indexes...
//
data.replaceIndex = new int[meta.getFormula().length];
for (int i = 0; i < meta.getFormula().length; i++) {
FormulaMetaFunction fn = meta.getFormula()[i];
if (!Const.isEmpty(fn.getReplaceField())) {
data.replaceIndex[i] = getInputRowMeta().indexOfValue(fn.getReplaceField());
if (data.replaceIndex[i] < 0) {
throw new KettleException(
"Unknown field specified to replace with a formula result: ["
+ fn.getReplaceField()
+ "]");
}
} else {
data.replaceIndex[i] = -1;
}
}
}
if (log.isRowLevel()) {
logRowlevel("Read row #" + getLinesRead() + " : " + r);
}
Object[] outputRowData = calcFields(getInputRowMeta(), r);
putRow(data.outputRowMeta, outputRowData); // copy row to possible alternate rowset(s).
if (log.isRowLevel()) {
logRowlevel("Wrote row #" + getLinesWritten() + " : " + r);
}
if (checkFeedback(getLinesRead())) {
logBasic("Linenr " + getLinesRead());
}
return true;
}
public boolean init(StepMetaInterface smi, StepDataInterface sdi) {
meta = (FormulaMeta) smi;
data = (FormulaData) sdi;
if (super.init(smi, sdi)) {
// Add init code here.
// Return data type discovery is expensive, let's discover them one time only.
//
data.returnType = new int[meta.getFormula().length];
for (int i = 0; i < meta.getFormula().length; i++) {
data.returnType[i] = -1;
}
return true;
}
return false;
}
private Object[] calcFields(RowMetaInterface rowMeta, Object[] r) throws KettleValueException {
try {
Object[] outputRowData = RowDataUtil.createResizedCopy(r, data.outputRowMeta.size());
int tempIndex = rowMeta.size();
// Assign this tempRowData to the formula context
//
data.context.setRowData(outputRowData);
// Initialize parsers etc. Only do it once.
//
if (data.formulas == null) {
// Create a set of LValues to put the parsed results in...
data.formulas =
new org.pentaho.reporting.libraries.formula.Formula[meta.getFormula().length];
for (int i = 0; i < meta.getFormula().length; i++) {
FormulaMetaFunction fn = meta.getFormula()[i];
if (!Const.isEmpty(fn.getFieldName())) {
data.formulas[i] = data.createFormula(meta.getFormula()[i].getFormula());
} else {
throw new KettleException(
"Unable to find field name for formula [" + Const.NVL(fn.getFormula(), "") + "]");
}
}
}
for (int i = 0; i < meta.getFormula().length; i++) {
FormulaMetaFunction fn = meta.getFormula()[i];
if (!Const.isEmpty(fn.getFieldName())) {
if (data.formulas[i] == null) {
data.formulas[i] = data.createFormula(meta.getFormula()[i].getFormula());
}
// this is main part of all this step: calculate formula
Object formulaResult = data.formulas[i].evaluate();
if (formulaResult instanceof LibFormulaErrorValue) {
// inspect why it is happens to get clear error message.
throw new KettleException(
"Error calculate formula. Formula "
+ fn.getFormula()
+ " output field: "
+ fn.getFieldName()
+ ", error is: "
+ formulaResult.toString());
}
// Calculate the return type on the first row...
// for most cases we can try to convert data on a fly.
if (data.returnType[i] < 0) {
if (formulaResult instanceof String) {
data.returnType[i] = FormulaData.RETURN_TYPE_STRING;
fn.setNeedDataConversion(fn.getValueType() != ValueMetaInterface.TYPE_STRING);
} else if (formulaResult instanceof Integer) {
data.returnType[i] = FormulaData.RETURN_TYPE_INTEGER;
fn.setNeedDataConversion(fn.getValueType() != ValueMetaInterface.TYPE_INTEGER);
} else if (formulaResult instanceof Long) {
data.returnType[i] = FormulaData.RETURN_TYPE_LONG;
fn.setNeedDataConversion(fn.getValueType() != ValueMetaInterface.TYPE_INTEGER);
} else if (formulaResult instanceof Date) {
data.returnType[i] = FormulaData.RETURN_TYPE_DATE;
fn.setNeedDataConversion(fn.getValueType() != ValueMetaInterface.TYPE_DATE);
} else if (formulaResult instanceof BigDecimal) {
data.returnType[i] = FormulaData.RETURN_TYPE_BIGDECIMAL;
fn.setNeedDataConversion(fn.getValueType() != ValueMetaInterface.TYPE_BIGNUMBER);
} else if (formulaResult instanceof Number) {
data.returnType[i] = FormulaData.RETURN_TYPE_NUMBER;
fn.setNeedDataConversion(fn.getValueType() != ValueMetaInterface.TYPE_NUMBER);
// this types we will not make attempt to auto-convert
} else if (formulaResult instanceof byte[]) {
data.returnType[i] = FormulaData.RETURN_TYPE_BYTE_ARRAY;
if (fn.getValueType() != ValueMetaInterface.TYPE_BINARY) {
throw new KettleValueException(
"Please specify a Binary type for field ["
+ fn.getFieldName()
+ "] as a result of formula ["
+ fn.getFormula()
+ "]");
}
} else if (formulaResult instanceof Boolean) {
data.returnType[i] = FormulaData.RETURN_TYPE_BOOLEAN;
if (fn.getValueType() != ValueMetaInterface.TYPE_BOOLEAN) {
throw new KettleValueException(
"Please specify a Boolean type for field ["
+ fn.getFieldName()
+ "] as a result of formula ["
+ fn.getFormula()
+ "]");
}
} else {
data.returnType[i] = FormulaData.RETURN_TYPE_STRING;
}
}
int realIndex = (data.replaceIndex[i] < 0) ? tempIndex++ : data.replaceIndex[i];
outputRowData[realIndex] =
getReturnValue(formulaResult, data.returnType[i], realIndex, fn);
}
}
return outputRowData;
} catch (Throwable e) {
throw new KettleValueException(e);
}
}