/** check whether it is just a wrapped tuple */
public static boolean isTupleWrapper(ResourceFieldSchema pigSchema) {
Boolean status = false;
if (pigSchema.getType() == DataType.TUPLE)
if (pigSchema.getName() != null)
if (pigSchema.getName().equals(AvroStorageUtils.PIG_TUPLE_WRAPPER)) status = true;
return status;
}
/* (non-Javadoc)
* @see org.apache.pig.builtin.PigStorage#putNext(org.apache.pig.data.Tuple)
*
* Given a tuple that corresponds to one record, write
* it out as CSV, converting among Unix/Windows line
* breaks as requested in the instantiation. Also take
* care of escaping field delimiters, double quotes,
* and linebreaks embedded within fields,
*
*/
@Override
public void putNext(Tuple tupleToWrite) throws IOException {
// If WRITE_OUTPUT_HEADER, store a header record with the names of each field
if (storingFirstRecord && headerTreatment == Headers.WRITE_OUTPUT_HEADER && schema != null) {
ArrayList<Object> headerProtoTuple = new ArrayList<Object>();
ResourceFieldSchema[] fields = schema.getFields();
for (ResourceFieldSchema field : fields) {
headerProtoTuple.add(field.getName());
}
super.putNext(tupleMaker.newTuple(headerProtoTuple));
}
storingFirstRecord = false;
ArrayList<Object> mProtoTuple = new ArrayList<Object>();
int embeddedNewlineIndex = -1;
int embeddedCarriageReturn = -1;
String fieldStr = null;
// For good debug messages:
int fieldCounter = -1;
// Do the escaping:
for (Object field : tupleToWrite.getAll()) {
fieldCounter++;
// Substitute a null value with an empty string. See PIG-2470.
if (field == null) {
fieldStr = null;
mProtoTuple.add("");
continue;
}
fieldStr = field.toString();
// Embedded double quotes are replaced by two double quotes:
fieldStr = fieldStr.replaceAll("[\"]", "\"\"");
// If any field delimiters are in the field, or if we did replace
// any double quotes with a pair of double quotes above,
// or if the string includes a newline character (LF:\n:0x0A)
// or includes a carriage return (CR:\r:0x0D)
// and we are to allow newlines in fields,
// then the entire field must be enclosed in double quotes:
embeddedNewlineIndex = fieldStr.indexOf(LINEFEED);
embeddedCarriageReturn = fieldStr.indexOf(CARRIAGE_RETURN);
if ((fieldStr.indexOf(fieldDelimiter) != -1)
|| (fieldStr.indexOf(DOUBLE_QUOTE) != -1)
|| (multilineTreatment == Multiline.YES)
&& (embeddedNewlineIndex != -1 || embeddedCarriageReturn != -1)) {
fieldStr = "\"" + fieldStr + "\"";
}
// If requested: replace any Linefeed-only (^J), with LF-Newline (^M^J),
// This is needed for Excel to recognize a field-internal
// new line:
if ((eolTreatment != Linebreaks.NOCHANGE) && (embeddedNewlineIndex != -1)) {
if (eolTreatment == Linebreaks.WINDOWS) {
loneLFDetector.reset(fieldStr);
loneLFDetector.matches();
fieldStr = loneLFDetector.replaceAll("$1\r\n");
} else if (eolTreatment == Linebreaks.UNIX) {
CRLFDetector.reset(fieldStr);
fieldStr = CRLFDetector.replaceAll("\n");
}
}
mProtoTuple.add(fieldStr);
}
// If Windows line breaks are requested, append
// a newline (0x0D a.k.a. ^M) to the last field
// so that the row termination will end up being
// \r\n, once the superclass' putNext() method
// is done below:
if ((eolTreatment == Linebreaks.WINDOWS) && (fieldStr != null))
mProtoTuple.set(mProtoTuple.size() - 1, fieldStr + "\r");
Tuple resTuple = tupleMaker.newTuple(mProtoTuple);
super.putNext(resTuple);
}
public boolean write(
Object object, ResourceFieldSchema field, Generator generator, boolean writeFieldName) {
byte type = (field != null ? field.getType() : DataType.findType(object));
if (writeFieldName) {
generator.writeFieldName(alias.toES(field.getName()));
}
if (object == null) {
generator.writeNull();
return true;
}
switch (type) {
case DataType.ERROR:
case DataType.UNKNOWN:
return handleUnknown(object, field, generator);
case DataType.NULL:
generator.writeNull();
break;
case DataType.BOOLEAN:
generator.writeBoolean((Boolean) object);
break;
case DataType.INTEGER:
generator.writeNumber(((Number) object).intValue());
break;
case DataType.LONG:
generator.writeNumber(((Number) object).longValue());
break;
case DataType.FLOAT:
generator.writeNumber(((Number) object).floatValue());
break;
case DataType.DOUBLE:
generator.writeNumber(((Number) object).doubleValue());
break;
case DataType.BYTE:
generator.writeNumber((Byte) object);
break;
case DataType.CHARARRAY:
generator.writeString(object.toString());
break;
case DataType.BYTEARRAY:
generator.writeBinary(((DataByteArray) object).get());
break;
// DateTime introduced in Pig 11
case 30: // DataType.DATETIME
generator.writeString(PigUtils.convertDateToES(object));
break;
// DateTime introduced in Pig 12
case 65: // DataType.BIGINTEGER
throw new SerializationException(
"Big integers are not supported by Elasticsearch - consider using a different type (such as string)");
// DateTime introduced in Pig 12
case 70: // DataType.BIGDECIMAL
throw new SerializationException(
"Big decimals are not supported by Elasticsearch - consider using a different type (such as string)");
case DataType.MAP:
ResourceSchema nestedSchema = field.getSchema();
// empty tuple shortcut
if (nestedSchema == null) {
generator.writeBeginObject();
generator.writeEndObject();
break;
}
ResourceFieldSchema[] nestedFields = nestedSchema.getFields();
generator.writeBeginObject();
// Pig maps are actually String -> Object association so we can save the key right away
for (Map.Entry<?, ?> entry : ((Map<?, ?>) object).entrySet()) {
generator.writeFieldName(alias.toES(entry.getKey().toString()));
write(entry.getValue(), nestedFields[0], generator, false);
}
generator.writeEndObject();
break;
case DataType.TUPLE:
nestedSchema = field.getSchema();
// empty tuple shortcut
if (nestedSchema == null) {
generator.writeBeginObject();
generator.writeEndObject();
break;
}
nestedFields = nestedSchema.getFields();
// use getAll instead of get(int) to avoid having to handle Exception...
List<Object> tuples = ((Tuple) object).getAll();
generator.writeBeginObject();
for (int i = 0; i < nestedFields.length; i++) {
String name = nestedFields[i].getName();
// handle schemas without names
name = (StringUtils.hasText(name) ? alias.toES(name) : Integer.toString(i));
generator.writeFieldName(name);
write(tuples.get(i), nestedFields[i], generator, false);
}
generator.writeEndObject();
break;
case DataType.BAG:
nestedSchema = field.getSchema();
// empty tuple shortcut
if (nestedSchema == null) {
generator.writeBeginArray();
generator.writeEndArray();
break;
}
ResourceFieldSchema bagType = nestedSchema.getFields()[0];
generator.writeBeginArray();
for (Tuple tuple : (DataBag) object) {
write(tuple, bagType, generator, false);
}
generator.writeEndArray();
break;
default:
if (writeUnknownTypes) {
return handleUnknown(object, field, generator);
}
return false;
}
return true;
}