public void readAllFixedFields(long recordsToRead) throws IOException {
boolean useAsyncColReader =
fragmentContext.getOptions().getOption(ExecConstants.PARQUET_COLUMNREADER_ASYNC).bool_val;
if (useAsyncColReader) {
readAllFixedFieldsParallel(recordsToRead);
} else {
readAllFixedFieldsSerial(recordsToRead);
;
}
}
public RecordWriter getRecordWriter(FragmentContext context, ParquetWriter writer)
throws IOException, OutOfMemoryException {
Map<String, String> options = Maps.newHashMap();
options.put("location", writer.getLocation());
FragmentHandle handle = context.getHandle();
String fragmentId =
String.format("%d_%d", handle.getMajorFragmentId(), handle.getMinorFragmentId());
options.put("prefix", fragmentId);
options.put(
FileSystem.FS_DEFAULT_NAME_KEY, ((FileSystemConfig) writer.getStorageConfig()).connection);
options.put(
ExecConstants.PARQUET_BLOCK_SIZE,
context.getOptions().getOption(ExecConstants.PARQUET_BLOCK_SIZE).num_val.toString());
options.put(
ExecConstants.PARQUET_PAGE_SIZE,
context.getOptions().getOption(ExecConstants.PARQUET_PAGE_SIZE).num_val.toString());
options.put(
ExecConstants.PARQUET_DICT_PAGE_SIZE,
context.getOptions().getOption(ExecConstants.PARQUET_DICT_PAGE_SIZE).num_val.toString());
options.put(
ExecConstants.PARQUET_WRITER_COMPRESSION_TYPE,
context.getOptions().getOption(ExecConstants.PARQUET_WRITER_COMPRESSION_TYPE).string_val);
options.put(
ExecConstants.PARQUET_WRITER_ENABLE_DICTIONARY_ENCODING,
context
.getOptions()
.getOption(ExecConstants.PARQUET_WRITER_ENABLE_DICTIONARY_ENCODING)
.bool_val
.toString());
RecordWriter recordWriter = new ParquetRecordWriter(context, writer);
recordWriter.init(options);
return recordWriter;
}
public SingleBatchSorter createNewSorter(FragmentContext context, VectorAccessible batch)
throws ClassTransformationException, IOException, SchemaChangeException {
CodeGenerator<SingleBatchSorter> cg =
CodeGenerator.get(
SingleBatchSorter.TEMPLATE_DEFINITION,
context.getFunctionRegistry(),
context.getOptions());
ClassGenerator<SingleBatchSorter> g = cg.getRoot();
generateComparisons(g, batch);
return context.getImplementationClass(cg);
}
private MSorter createNewMSorter(
FragmentContext context,
List<Ordering> orderings,
VectorAccessible batch,
MappingSet mainMapping,
MappingSet leftMapping,
MappingSet rightMapping)
throws ClassTransformationException, IOException, SchemaChangeException {
CodeGenerator<MSorter> cg =
CodeGenerator.get(
MSorter.TEMPLATE_DEFINITION, context.getFunctionRegistry(), context.getOptions());
ClassGenerator<MSorter> g = cg.getRoot();
g.setMappingSet(mainMapping);
for (Ordering od : orderings) {
// first, we rewrite the evaluation stack for each side of the comparison.
ErrorCollector collector = new ErrorCollectorImpl();
final LogicalExpression expr =
ExpressionTreeMaterializer.materialize(
od.getExpr(), batch, collector, context.getFunctionRegistry());
if (collector.hasErrors()) {
throw new SchemaChangeException(
"Failure while materializing expression. " + collector.toErrorString());
}
g.setMappingSet(leftMapping);
HoldingContainer left = g.addExpr(expr, ClassGenerator.BlkCreateMode.FALSE);
g.setMappingSet(rightMapping);
HoldingContainer right = g.addExpr(expr, ClassGenerator.BlkCreateMode.FALSE);
g.setMappingSet(mainMapping);
// next we wrap the two comparison sides and add the expression block for the comparison.
LogicalExpression fh =
FunctionGenerationHelper.getOrderingComparator(
od.nullsSortHigh(), left, right, context.getFunctionRegistry());
HoldingContainer out = g.addExpr(fh, ClassGenerator.BlkCreateMode.FALSE);
JConditional jc = g.getEvalBlock()._if(out.getValue().ne(JExpr.lit(0)));
if (od.getDirection() == Direction.ASCENDING) {
jc._then()._return(out.getValue());
} else {
jc._then()._return(out.getValue().minus());
}
g.rotateBlock();
}
g.rotateBlock();
g.getEvalBlock()._return(JExpr.lit(0));
return context.getImplementationClass(cg);
}
@Override
public void setup(OperatorContext operatorContext, OutputMutator output)
throws ExecutionSetupException {
this.operatorContext = operatorContext;
if (!isStarQuery()) {
columnsFound = new boolean[getColumns().size()];
nullFilledVectors = new ArrayList<>();
}
columnStatuses = new ArrayList<>();
// totalRecords = footer.getBlocks().get(rowGroupIndex).getRowCount();
List<ColumnDescriptor> columns = footer.getFileMetaData().getSchema().getColumns();
allFieldsFixedLength = true;
ColumnDescriptor column;
ColumnChunkMetaData columnChunkMetaData;
int columnsToScan = 0;
mockRecordsRead = 0;
MaterializedField field;
// ParquetMetadataConverter metaConverter = new ParquetMetadataConverter();
FileMetaData fileMetaData;
logger.debug(
"Reading row group({}) with {} records in file {}.",
rowGroupIndex,
footer.getBlocks().get(rowGroupIndex).getRowCount(),
hadoopPath.toUri().getPath());
totalRecordsRead = 0;
// TODO - figure out how to deal with this better once we add nested reading, note also look
// where this map is used below
// store a map from column name to converted types if they are non-null
Map<String, SchemaElement> schemaElements =
ParquetReaderUtility.getColNameToSchemaElementMapping(footer);
// loop to add up the length of the fixed width columns and build the schema
for (int i = 0; i < columns.size(); ++i) {
column = columns.get(i);
SchemaElement se = schemaElements.get(column.getPath()[0]);
MajorType mt =
ParquetToDrillTypeConverter.toMajorType(
column.getType(),
se.getType_length(),
getDataMode(column),
se,
fragmentContext.getOptions());
field = MaterializedField.create(toFieldName(column.getPath()), mt);
if (!fieldSelected(field)) {
continue;
}
columnsToScan++;
int dataTypeLength = getDataTypeLength(column, se);
if (dataTypeLength == -1) {
allFieldsFixedLength = false;
} else {
bitWidthAllFixedFields += dataTypeLength;
}
}
// rowGroupOffset =
// footer.getBlocks().get(rowGroupIndex).getColumns().get(0).getFirstDataPageOffset();
if (columnsToScan != 0 && allFieldsFixedLength) {
recordsPerBatch =
(int)
Math.min(
Math.min(
batchSize / bitWidthAllFixedFields,
footer.getBlocks().get(0).getColumns().get(0).getValueCount()),
65535);
} else {
recordsPerBatch = DEFAULT_RECORDS_TO_READ_IF_NOT_FIXED_WIDTH;
}
try {
ValueVector vector;
SchemaElement schemaElement;
final ArrayList<VarLengthColumn<? extends ValueVector>> varLengthColumns = new ArrayList<>();
// initialize all of the column read status objects
boolean fieldFixedLength;
// the column chunk meta-data is not guaranteed to be in the same order as the columns in the
// schema
// a map is constructed for fast access to the correct columnChunkMetadata to correspond
// to an element in the schema
Map<String, Integer> columnChunkMetadataPositionsInList = new HashMap<>();
BlockMetaData rowGroupMetadata = footer.getBlocks().get(rowGroupIndex);
int colChunkIndex = 0;
for (ColumnChunkMetaData colChunk : rowGroupMetadata.getColumns()) {
columnChunkMetadataPositionsInList.put(
Arrays.toString(colChunk.getPath().toArray()), colChunkIndex);
colChunkIndex++;
}
for (int i = 0; i < columns.size(); ++i) {
column = columns.get(i);
columnChunkMetaData =
rowGroupMetadata
.getColumns()
.get(columnChunkMetadataPositionsInList.get(Arrays.toString(column.getPath())));
schemaElement = schemaElements.get(column.getPath()[0]);
MajorType type =
ParquetToDrillTypeConverter.toMajorType(
column.getType(),
schemaElement.getType_length(),
getDataMode(column),
schemaElement,
fragmentContext.getOptions());
field = MaterializedField.create(toFieldName(column.getPath()), type);
// the field was not requested to be read
if (!fieldSelected(field)) {
continue;
}
fieldFixedLength = column.getType() != PrimitiveType.PrimitiveTypeName.BINARY;
vector =
output.addField(
field,
(Class<? extends ValueVector>)
TypeHelper.getValueVectorClass(type.getMinorType(), type.getMode()));
if (column.getType() != PrimitiveType.PrimitiveTypeName.BINARY) {
if (column.getMaxRepetitionLevel() > 0) {
final RepeatedValueVector repeatedVector = RepeatedValueVector.class.cast(vector);
ColumnReader<?> dataReader =
ColumnReaderFactory.createFixedColumnReader(
this,
fieldFixedLength,
column,
columnChunkMetaData,
recordsPerBatch,
repeatedVector.getDataVector(),
schemaElement);
varLengthColumns.add(
new FixedWidthRepeatedReader(
this,
dataReader,
getTypeLengthInBits(column.getType()),
-1,
column,
columnChunkMetaData,
false,
repeatedVector,
schemaElement));
} else {
columnStatuses.add(
ColumnReaderFactory.createFixedColumnReader(
this,
fieldFixedLength,
column,
columnChunkMetaData,
recordsPerBatch,
vector,
schemaElement));
}
} else {
// create a reader and add it to the appropriate list
varLengthColumns.add(
ColumnReaderFactory.getReader(
this, -1, column, columnChunkMetaData, false, vector, schemaElement));
}
}
varLengthReader = new VarLenBinaryReader(this, varLengthColumns);
if (!isStarQuery()) {
List<SchemaPath> projectedColumns = Lists.newArrayList(getColumns());
SchemaPath col;
for (int i = 0; i < columnsFound.length; i++) {
col = projectedColumns.get(i);
assert col != null;
if (!columnsFound[i] && !col.equals(STAR_COLUMN)) {
nullFilledVectors.add(
(NullableIntVector)
output.addField(
MaterializedField.create(
col.getAsUnescapedPath(), Types.optional(TypeProtos.MinorType.INT)),
(Class<? extends ValueVector>)
TypeHelper.getValueVectorClass(
TypeProtos.MinorType.INT, DataMode.OPTIONAL)));
}
}
}
} catch (Exception e) {
handleAndRaise("Failure in setting up reader", e);
}
}