/**
* Uses the ColumnarSerde to deserialize the buff:BytesRefArrayWritable into a ColumnarStruct
* instance.
*
* @param buff BytesRefArrayWritable
* @return ColumnarStruct
*/
private ColumnarStruct readColumnarStruct(BytesRefArrayWritable buff) {
// use ColumnarSerDe to deserialize row
ColumnarStruct struct = null;
try {
struct = (ColumnarStruct) serde.deserialize(buff);
} catch (SerDeException e) {
LOG.error(e.toString(), e);
throw new RuntimeException(e.toString(), e);
}
return struct;
}
// Load the hash table
@Override
public void cleanUpInputFileChangedOp() throws HiveException {
try {
if (firstRow) {
// generate the map metadata
generateMapMetaData();
firstRow = false;
}
loadHashTable();
} catch (SerDeException e) {
e.printStackTrace();
throw new HiveException(e);
}
}
@Override
public void prepareToRead(@SuppressWarnings("rawtypes") RecordReader reader, PigSplit split)
throws IOException {
this.reader = (HiveRCRecordReader) reader;
// check that the required indexes actually exist i.e. the columns that
// should be read.
// assuming this is always defined simplifies the readColumnarTuple
// logic.
int requiredIndexes[] = getRequiredColumns();
if (requiredIndexes == null) {
int fieldLen = pigSchema.getFields().length;
// if any the partition keys should already exist
String[] partitionKeys = getPartitionKeys(null, null);
if (partitionKeys != null) {
fieldLen = partitionKeys.length;
}
requiredIndexes = new int[fieldLen];
for (int i = 0; i < fieldLen; i++) {
requiredIndexes[i] = i;
}
this.requiredColumns = requiredIndexes;
}
try {
serde = new ColumnarSerDe();
serde.initialize(hiveConf, props);
} catch (SerDeException e) {
LOG.error(e.toString(), e);
throw new IOException(e);
}
}
@Override
public void processOp(Object row, int tag) throws HiveException {
try {
if (firstRow) {
// generate the map metadata
generateMapMetaData();
firstRow = false;
}
// get alias
alias = order[tag];
// alias = (byte)tag;
if ((lastAlias == null) || (!lastAlias.equals(alias))) {
nextSz = joinEmitInterval;
}
// compute keys and values as StandardObjects
AbstractMapJoinKey key =
JoinUtil.computeMapJoinKeys(
row, joinKeys.get(alias), joinKeysObjectInspectors.get(alias));
ArrayList<Object> value =
JoinUtil.computeValues(
row,
joinValues.get(alias),
joinValuesObjectInspectors.get(alias),
joinFilters.get(alias),
joinFilterObjectInspectors.get(alias),
noOuterJoin);
// Add the value to the ArrayList
storage.get((byte) tag).add(value);
for (Byte pos : order) {
if (pos.intValue() != tag) {
MapJoinObjectValue o = mapJoinTables.get(pos).get(key);
MapJoinRowContainer<ArrayList<Object>> rowContainer = rowContainerMap.get(pos);
// there is no join-value or join-key has all null elements
if (o == null || key.hasAnyNulls()) {
if (noOuterJoin) {
storage.put(pos, emptyList);
} else {
storage.put(pos, dummyObjVectors[pos.intValue()]);
}
} else {
rowContainer.reset(o.getObj());
storage.put(pos, rowContainer);
}
}
}
// generate the output records
checkAndGenObject();
// done with the row
storage.get((byte) tag).clear();
for (Byte pos : order) {
if (pos.intValue() != tag) {
storage.put(pos, null);
}
}
} catch (SerDeException e) {
e.printStackTrace();
throw new HiveException(e);
}
}
