@Override
public FunctionDefinition[] getFunctionDefintions() {
return new FunctionDefinition[] {
FunctionDefinition.simple(
"bytesubstring",
new BasicArgumentValidator(
new Arg(
Types.required(TypeProtos.MinorType.VARBINARY),
Types.optional(TypeProtos.MinorType.VARBINARY)),
new Arg(false, false, "offset", TypeProtos.MinorType.BIGINT),
new Arg(false, false, "length", TypeProtos.MinorType.BIGINT)),
new OutputTypeDeterminer.SameAsFirstInput(),
"byte_substr")
};
}
public OrderedPartitionRecordBatch(
OrderedPartitionSender pop, RecordBatch incoming, FragmentContext context)
throws OutOfMemoryException {
super(pop, context);
this.incoming = incoming;
this.partitions = pop.getDestinations().size();
this.sendingMajorFragmentWidth = pop.getSendingWidth();
this.recordsToSample = pop.getRecordsToSample();
this.samplingFactor = pop.getSamplingFactor();
this.completionFactor = pop.getCompletionFactor();
DistributedCache cache = context.getDrillbitContext().getCache();
this.mmap = cache.getMultiMap(MULTI_CACHE_CONFIG);
this.tableMap = cache.getMap(SINGLE_CACHE_CONFIG);
Preconditions.checkNotNull(tableMap);
this.mapKey =
String.format(
"%s_%d", context.getHandle().getQueryId(), context.getHandle().getMajorFragmentId());
this.minorFragmentSampleCount = cache.getCounter(mapKey);
SchemaPath outputPath = popConfig.getRef();
MaterializedField outputField =
MaterializedField.create(outputPath, Types.required(TypeProtos.MinorType.INT));
this.partitionKeyVector =
(IntVector) TypeHelper.getNewVector(outputField, oContext.getAllocator());
}
@Test
public void testVectorMetadataIsAccurate() throws Exception {
final VectorVerifier noChild = new ChildVerifier();
final VectorVerifier offsetChild = new ChildVerifier(UInt4Holder.TYPE);
final ImmutableMap.Builder<Class, VectorVerifier> builder = ImmutableMap.builder();
builder.put(UInt4Vector.class, noChild);
builder.put(BitVector.class, noChild);
builder.put(VarCharVector.class, offsetChild);
builder.put(
NullableVarCharVector.class,
new ChildVerifier(UInt1Holder.TYPE, Types.optional(TypeProtos.MinorType.VARCHAR)));
builder.put(
RepeatedListVector.class, new ChildVerifier(UInt4Holder.TYPE, Types.LATE_BIND_TYPE));
builder.put(MapVector.class, noChild);
builder.put(RepeatedMapVector.class, offsetChild);
final ImmutableMap<Class, VectorVerifier> children = builder.build();
testVectors(
new VectorVerifier() {
@Override
public void verify(ValueVector vector) throws Exception {
final Class klazz = vector.getClass();
final VectorVerifier verifier = children.get(klazz);
verifier.verify(vector);
}
});
}
private void initCols(Schema schema) throws SchemaChangeException {
ImmutableList.Builder<ProjectedColumnInfo> pciBuilder = ImmutableList.builder();
for (int i = 0; i < schema.getColumnCount(); i++) {
ColumnSchema col = schema.getColumnByIndex(i);
final String name = col.getName();
final Type kuduType = col.getType();
MinorType minorType = TYPES.get(kuduType);
if (minorType == null) {
logger.warn(
"Ignoring column that is unsupported.",
UserException.unsupportedError()
.message(
"A column you queried has a data type that is not currently supported by the Kudu storage plugin. "
+ "The column's name was %s and its Kudu data type was %s. ",
name, kuduType.toString())
.addContext("column Name", name)
.addContext("plugin", "kudu")
.build(logger));
continue;
}
MajorType majorType;
if (col.isNullable()) {
majorType = Types.optional(minorType);
} else {
majorType = Types.required(minorType);
}
MaterializedField field = MaterializedField.create(name, majorType);
final Class<? extends ValueVector> clazz =
(Class<? extends ValueVector>)
TypeHelper.getValueVectorClass(minorType, majorType.getMode());
ValueVector vector = output.addField(field, clazz);
vector.allocateNew();
ProjectedColumnInfo pci = new ProjectedColumnInfo();
pci.vv = vector;
pci.kuduColumn = col;
pci.index = i;
pciBuilder.add(pci);
}
projectedCols = pciBuilder.build();
}
@Override
public boolean equals(DataValue v) {
if (v == null) return false;
if (Types.isNumericType(v.getDataType())) {
return this.compareTo(v) == 0;
} else {
return false;
}
}
@Override
public LogicalExpression visitFunctionCall(
FunctionCall call, FunctionImplementationRegistry registry) {
List<LogicalExpression> args = Lists.newArrayList();
for (int i = 0; i < call.args.size(); ++i) {
LogicalExpression newExpr = call.args.get(i).accept(this, registry);
args.add(newExpr);
}
// replace with a new function call, since its argument could be changed.
call = new FunctionCall(call.getDefinition(), args, call.getPosition());
// call function resolver, get the best match.
FunctionResolver resolver = FunctionResolverFactory.getResolver(call);
DrillFuncHolder matchedFuncHolder =
resolver.getBestMatch(registry.getMethods().get(call.getDefinition().getName()), call);
// new arg lists, possible with implicit cast inserted.
List<LogicalExpression> argsWithCast = Lists.newArrayList();
if (matchedFuncHolder == null) {
// TODO: found no matched funcholder. Raise exception here?
return validateNewExpr(call);
} else {
// Compare parm type against arg type. Insert cast on top of arg, whenever necessary.
for (int i = 0; i < call.args.size(); ++i) {
MajorType parmType = matchedFuncHolder.getParmMajorType(i);
// Case 1: If 1) the argument is NullExpression
// 2) the parameter of matchedFuncHolder allows null input, or func's
// null_handling is NULL_IF_NULL (means null and non-null are exchangable).
// then replace NullExpression with a TypedNullConstant
if (call.args.get(i).equals(NullExpression.INSTANCE)
&& (parmType.getMode().equals(DataMode.OPTIONAL)
|| matchedFuncHolder.getNullHandling() == NullHandling.NULL_IF_NULL)) {
argsWithCast.add(new TypedNullConstant(parmType));
} else if (Types.softEquals(
parmType,
call.args.get(i).getMajorType(),
matchedFuncHolder.getNullHandling() == NullHandling.NULL_IF_NULL)) {
// Case 2: argument and parameter matches. Do nothing.
argsWithCast.add(call.args.get(i));
} else {
// Case 3: insert cast if param type is different from arg type.
FunctionDefinition castFuncDef =
CastFunctionDefs.getCastFuncDef(parmType.getMinorType());
List<LogicalExpression> castArgs = Lists.newArrayList();
castArgs.add(call.args.get(i)); // input_expr
argsWithCast.add(new FunctionCall(castFuncDef, castArgs, ExpressionPosition.UNKNOWN));
}
}
}
return validateNewExpr(
new FunctionCall(call.getDefinition(), argsWithCast, call.getPosition()));
}
/**
* Returns the merger of schemas. The merged schema will include the union all columns. If there
* is a type conflict between columns with the same schemapath but different types, the merged
* schema will contain a Union type.
*
* @param schemas
* @return
*/
public static BatchSchema mergeSchemas(BatchSchema... schemas) {
Map<SchemaPath, Set<MinorType>> typeSetMap = Maps.newLinkedHashMap();
for (BatchSchema s : schemas) {
for (MaterializedField field : s) {
SchemaPath path = field.getPath();
Set<MinorType> currentTypes = typeSetMap.get(path);
if (currentTypes == null) {
currentTypes = Sets.newHashSet();
typeSetMap.put(path, currentTypes);
}
MinorType newType = field.getType().getMinorType();
if (newType == MinorType.MAP || newType == MinorType.LIST) {
throw new RuntimeException(
"Schema change not currently supported for schemas with complex types");
}
if (newType == MinorType.UNION) {
for (MinorType subType : field.getType().getSubTypeList()) {
currentTypes.add(subType);
}
} else {
currentTypes.add(newType);
}
}
}
List<MaterializedField> fields = Lists.newArrayList();
for (SchemaPath path : typeSetMap.keySet()) {
Set<MinorType> types = typeSetMap.get(path);
if (types.size() > 1) {
MajorType.Builder builder =
MajorType.newBuilder().setMinorType(MinorType.UNION).setMode(DataMode.OPTIONAL);
for (MinorType t : types) {
builder.addSubType(t);
}
MaterializedField field = MaterializedField.create(path, builder.build());
fields.add(field);
} else {
MaterializedField field =
MaterializedField.create(path, Types.optional(types.iterator().next()));
fields.add(field);
}
}
SchemaBuilder schemaBuilder = new SchemaBuilder();
BatchSchema s =
schemaBuilder
.addFields(fields)
.setSelectionVectorMode(schemas[0].getSelectionVectorMode())
.build();
return s;
}
/**
* We initialize and add the repeated varchar vector to the record batch in this constructor.
* Perform some sanity checks if the selected columns are valid or not.
*
* @param outputMutator Used to create/modify schema in the record batch
* @param columns List of columns selected in the query
* @param isStarQuery boolean to indicate if all fields are selected or not
* @throws SchemaChangeException
*/
public RepeatedVarCharOutput(
OutputMutator outputMutator, Collection<SchemaPath> columns, boolean isStarQuery)
throws SchemaChangeException {
super();
MaterializedField field =
MaterializedField.create(REF, Types.repeated(TypeProtos.MinorType.VARCHAR));
this.vector = outputMutator.addField(field, RepeatedVarCharVector.class);
this.mutator = vector.getMutator();
{ // setup fields
List<Integer> columnIds = new ArrayList<Integer>();
if (!isStarQuery) {
String pathStr;
for (SchemaPath path : columns) {
assert path.getRootSegment().isNamed() : "root segment should be named";
pathStr = path.getRootSegment().getPath();
Preconditions.checkArgument(
pathStr.equals(COL_NAME)
|| (pathStr.equals("*") && path.getRootSegment().getChild() == null),
String.format(
"Selected column '%s' must have name 'columns' or must be plain '*'", pathStr));
if (path.getRootSegment().getChild() != null) {
Preconditions.checkArgument(
path.getRootSegment().getChild().isArray(),
String.format("Selected column '%s' must be an array index", pathStr));
int index = path.getRootSegment().getChild().getArraySegment().getIndex();
columnIds.add(index);
}
}
Collections.sort(columnIds);
}
boolean[] fields = new boolean[MAXIMUM_NUMBER_COLUMNS];
int maxField = fields.length;
if (isStarQuery) {
Arrays.fill(fields, true);
} else {
for (Integer i : columnIds) {
maxField = 0;
maxField = Math.max(maxField, i);
fields[i] = true;
}
}
this.collectedFields = fields;
this.maxField = maxField;
}
}
protected FieldWriter getWriter(MinorType type) {
if (state == State.UNION) {
return writer;
}
if (state == State.UNTYPED) {
if (type == null) {
return null;
}
ValueVector v =
listVector.addOrGetVector(new VectorDescriptor(Types.optional(type))).getVector();
v.allocateNew();
setWriter(v);
writer.setPosition(position);
}
if (type != this.type) {
return promoteToUnion();
}
return writer;
}
private FieldWriter promoteToUnion() {
String name = vector.getField().getLastName();
TransferPair tp =
vector.getTransferPair(
vector.getField().getType().getMinorType().name().toLowerCase(), vector.getAllocator());
tp.transfer();
if (parentContainer != null) {
unionVector =
parentContainer.addOrGet(name, Types.optional(MinorType.UNION), UnionVector.class);
} else if (listVector != null) {
unionVector = listVector.promoteToUnion();
}
unionVector.addVector(tp.getTo());
writer = new UnionWriter(unionVector);
writer.setPosition(idx());
for (int i = 0; i < idx(); i++) {
unionVector.getMutator().setType(i, vector.getField().getType().getMinorType());
}
vector = null;
state = State.UNION;
return writer;
}
@Override
public TypeProtos.MajorType getVectorType(SchemaPath column, PlannerSettings plannerSettings) {
return Types.optional(TypeProtos.MinorType.VARCHAR);
}
@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);
}
}
/**
* Gets AvaticaType carrying both JDBC {@code java.sql.Type.*} type code and SQL type name for
* given SQL type name.
*/
private static AvaticaType getAvaticaType(String sqlTypeName) {
final int jdbcTypeId = Types.getJdbcTypeCode(sqlTypeName);
return ColumnMetaData.scalar(jdbcTypeId, sqlTypeName, Rep.BOOLEAN /* dummy value, unused */);
}
public void updateColumnMetaData(
String catalogName,
String schemaName,
String tableName,
BatchSchema schema,
List<Class<?>> getObjectClasses) {
final List<ColumnMetaData> newColumns = new ArrayList<>(schema.getFieldCount());
for (int colOffset = 0; colOffset < schema.getFieldCount(); colOffset++) {
final MaterializedField field = schema.getColumn(colOffset);
Class<?> objectClass = getObjectClasses.get(colOffset);
final String columnName = field.getPath();
final MajorType rpcDataType = field.getType();
final AvaticaType bundledSqlDataType = getAvaticaType(rpcDataType);
final String columnClassName = objectClass.getName();
final int nullability;
switch (field.getDataMode()) {
case OPTIONAL:
nullability = ResultSetMetaData.columnNullable;
break;
case REQUIRED:
nullability = ResultSetMetaData.columnNoNulls;
break;
// Should REPEATED still map to columnNoNulls? or to columnNullable?
case REPEATED:
nullability = ResultSetMetaData.columnNoNulls;
break;
default:
throw new AssertionError(
"Unexpected new DataMode value '" + field.getDataMode().name() + "'");
}
final boolean isSigned = Types.isJdbcSignedType(rpcDataType);
// TODO(DRILL-3355): TODO(DRILL-3356): When string lengths, precisions,
// interval kinds, etc., are available from RPC-level data, implement:
// - precision for ResultSetMetadata.getPrecision(...) (like
// getColumns()'s COLUMN_SIZE)
// - scale for getScale(...), and
// - and displaySize for getColumnDisplaySize(...).
final int precision = rpcDataType.hasPrecision() ? rpcDataType.getPrecision() : 0;
final int scale = rpcDataType.hasScale() ? rpcDataType.getScale() : 0;
final int displaySize = 10;
ColumnMetaData col =
new ColumnMetaData(
colOffset, // (zero-based ordinal (for Java arrays/lists).)
false, /* autoIncrement */
false, /* caseSensitive */
true, /* searchable */
false, /* currency */
nullability,
isSigned,
displaySize,
columnName, /* label */
columnName, /* columnName */
schemaName,
precision,
scale,
tableName,
catalogName,
bundledSqlDataType,
true, /* readOnly */
false, /* writable */
false, /* definitelyWritable */
columnClassName);
newColumns.add(col);
}
columns = newColumns;
}
@Override
public boolean supportsCompare(DataValue dv2) {
return Types.isNumericType(dv2.getDataType());
}
@Test
public void testHashFunctionResolution(@Injectable DrillConfig config)
throws JClassAlreadyExistsException, IOException {
FunctionImplementationRegistry registry = new FunctionImplementationRegistry(config);
// test required vs nullable Int input
resolveHash(
config,
new TypedNullConstant(Types.optional(TypeProtos.MinorType.INT)),
Types.optional(TypeProtos.MinorType.INT),
Types.required(TypeProtos.MinorType.INT),
TypeProtos.DataMode.OPTIONAL,
registry);
resolveHash(
config,
new ValueExpressions.IntExpression(1, ExpressionPosition.UNKNOWN),
Types.required(TypeProtos.MinorType.INT),
Types.required(TypeProtos.MinorType.INT),
TypeProtos.DataMode.REQUIRED,
registry);
// test required vs nullable float input
resolveHash(
config,
new TypedNullConstant(Types.optional(TypeProtos.MinorType.FLOAT4)),
Types.optional(TypeProtos.MinorType.FLOAT4),
Types.required(TypeProtos.MinorType.FLOAT4),
TypeProtos.DataMode.OPTIONAL,
registry);
resolveHash(
config,
new ValueExpressions.FloatExpression(5.0f, ExpressionPosition.UNKNOWN),
Types.required(TypeProtos.MinorType.FLOAT4),
Types.required(TypeProtos.MinorType.FLOAT4),
TypeProtos.DataMode.REQUIRED,
registry);
// test required vs nullable long input
resolveHash(
config,
new TypedNullConstant(Types.optional(TypeProtos.MinorType.BIGINT)),
Types.optional(TypeProtos.MinorType.BIGINT),
Types.required(TypeProtos.MinorType.BIGINT),
TypeProtos.DataMode.OPTIONAL,
registry);
resolveHash(
config,
new ValueExpressions.LongExpression(100L, ExpressionPosition.UNKNOWN),
Types.required(TypeProtos.MinorType.BIGINT),
Types.required(TypeProtos.MinorType.BIGINT),
TypeProtos.DataMode.REQUIRED,
registry);
// test required vs nullable double input
resolveHash(
config,
new TypedNullConstant(Types.optional(TypeProtos.MinorType.FLOAT8)),
Types.optional(TypeProtos.MinorType.FLOAT8),
Types.required(TypeProtos.MinorType.FLOAT8),
TypeProtos.DataMode.OPTIONAL,
registry);
resolveHash(
config,
new ValueExpressions.DoubleExpression(100.0, ExpressionPosition.UNKNOWN),
Types.required(TypeProtos.MinorType.FLOAT8),
Types.required(TypeProtos.MinorType.FLOAT8),
TypeProtos.DataMode.REQUIRED,
registry);
}
