org.elasticsearch.hadoop.pig.PigBytesConverter Maven / Gradle / Ivy
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package org.elasticsearch.hadoop.pig;
import org.apache.pig.ResourceSchema;
import org.apache.pig.ResourceSchema.ResourceFieldSchema;
import org.apache.pig.data.DataByteArray;
import org.apache.pig.data.DataType;
import org.elasticsearch.hadoop.EsHadoopIllegalArgumentException;
import org.elasticsearch.hadoop.EsHadoopIllegalStateException;
import org.elasticsearch.hadoop.serialization.JdkBytesConverter;
import org.elasticsearch.hadoop.util.Assert;
import org.elasticsearch.hadoop.util.BytesArray;
public class PigBytesConverter extends JdkBytesConverter {
@Override
public void convert(Object from, BytesArray to) {
// expect PigTuple holding a Tuple with only one field - chararray or bytearray
Assert.isTrue(from instanceof PigTuple,
String.format("Unexpected object type, expecting [%s], given [%s]", PigTuple.class, from.getClass()));
PigTuple pt = (PigTuple) from;
ResourceFieldSchema schema = pt.getSchema();
// unwrap the tuple
ResourceSchema tupleSchema = schema.getSchema();
// empty tuple shortcut
if (tupleSchema == null) {
// write empty doc
to.bytes("{}");
return;
}
ResourceFieldSchema[] fields = tupleSchema.getFields();
Assert.isTrue(fields.length == 1, "When using JSON input, only one field is expected");
Object object;
byte type;
try {
object = pt.getTuple().get(0);
type = pt.getTuple().getType(0);
} catch (Exception ex) {
throw new EsHadoopIllegalStateException("Encountered exception while processing tuple", ex);
}
if (type == DataType.BIGCHARARRAY || type == DataType.CHARARRAY) {
to.bytes(object.toString());
return;
}
if (type == DataType.BYTEARRAY) {
DataByteArray dba = (DataByteArray) object;
to.bytes(dba.get(), dba.size());
return;
}
throw new EsHadoopIllegalArgumentException(String.format("Cannot handle Pig type [%s]; expecting [%s,%s]", object.getClass(), String.class, DataByteArray.class));
}
}
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