kunal642 commented on a change in pull request #3778:
URL: https://github.com/apache/carbondata/pull/3778#discussion_r480922354
##########
File path:
integration/spark/src/main/java/org/apache/spark/sql/secondaryindex/query/SecondaryIndexQueryResultProcessor.java
##########
@@ -243,46 +258,115 @@ private void
processResult(List<CarbonIterator<RowBatch>> detailQueryResultItera
/**
* This method will prepare the data from raw object that will take part in
sorting
*/
- private Object[] prepareRowObjectForSorting(Object[] row) {
+ private Object[] prepareRowObjectForSorting(Object[] row,
+ Map<Integer, GenericQueryType> complexDimensionInfoMap, int[]
complexColumnParentBlockIndexes)
+ throws SecondaryIndexException {
ByteArrayWrapper wrapper = (ByteArrayWrapper) row[0];
- // ByteBuffer[] noDictionaryBuffer = new ByteBuffer[noDictionaryCount];
+ byte[] implicitColumnByteArray = wrapper.getImplicitColumnByteArray();
List<CarbonDimension> dimensions = segmentProperties.getDimensions();
Object[] preparedRow = new Object[dimensions.size() + measureCount];
+ Map<Integer, Object[]> complexDataMap = new HashMap<>();
int noDictionaryIndex = 0;
int dictionaryIndex = 0;
+ int complexIndex = 0;
int i = 0;
// loop excluding last dimension as last one is implicit column.
for (; i < dimensions.size() - 1; i++) {
CarbonDimension dims = dimensions.get(i);
- if (dims.hasEncoding(Encoding.DICTIONARY)) {
+ boolean isComplexColumn = false;
+ // check if dimension is a complex data type
+ if (!complexDimensionInfoMap.isEmpty() &&
complexColumnParentBlockIndexes.length > 0) {
+ for (GenericQueryType queryType : complexDimensionInfoMap.values()) {
+ if (queryType.getName().equalsIgnoreCase(dims.getColName())) {
+ isComplexColumn = true;
+ break;
+ }
+ }
+ }
+ if (dims.hasEncoding(Encoding.DICTIONARY) && !isComplexColumn) {
// dictionary
preparedRow[i] = wrapper.getDictionaryKeyByIndex(dictionaryIndex++);
} else {
- // no dictionary dims
- byte[] noDictionaryKeyByIndex =
wrapper.getNoDictionaryKeyByIndex(noDictionaryIndex++);
- // no dictionary primitive columns are expected to be in original data
while loading,
- // so convert it to original data
- if (DataTypeUtil.isPrimitiveColumn(dims.getDataType())) {
- Object dataFromBytes =
DataTypeUtil.getDataBasedOnDataTypeForNoDictionaryColumn(
- noDictionaryKeyByIndex, dims.getDataType());
- if (null != dataFromBytes && dims.getDataType() ==
DataTypes.TIMESTAMP) {
- dataFromBytes = (long) dataFromBytes / 1000L;
+ if (isComplexColumn) {
+ byte[] complexKeyByIndex =
wrapper.getComplexKeyByIndex(complexIndex);
+ ByteBuffer byteArrayInput = ByteBuffer.wrap(complexKeyByIndex);
+ GenericQueryType genericQueryType =
+
complexDimensionInfoMap.get(complexColumnParentBlockIndexes[complexIndex++]);
+ int complexDataLength = byteArrayInput.getShort(2);
+ // In case, if array is empty
+ if (complexDataLength == 0) {
+ complexDataLength = complexDataLength + 1;
+ }
+ // get flattened array data
+ Object[] complexFlattenedData = new Object[complexDataLength];
+ Object[] data =
genericQueryType.getObjectArrayDataBasedOnDataType(byteArrayInput);
+ for (int index = 0; index < complexDataLength; index++) {
+ complexFlattenedData[index] =
+ getData(data, index, dims.getColumnSchema().getDataType());
}
- preparedRow[i] = dataFromBytes;
+ complexDataMap.put(i, complexFlattenedData);
} else {
- preparedRow[i] = noDictionaryKeyByIndex;
+ // no dictionary dims
+ byte[] noDictionaryKeyByIndex =
wrapper.getNoDictionaryKeyByIndex(noDictionaryIndex++);
+ // no dictionary primitive columns are expected to be in original
data while loading,
+ // so convert it to original data
+ if (DataTypeUtil.isPrimitiveColumn(dims.getDataType())) {
+ Object dataFromBytes = DataTypeUtil
+
.getDataBasedOnDataTypeForNoDictionaryColumn(noDictionaryKeyByIndex,
+ dims.getDataType());
+ if (null != dataFromBytes && dims.getDataType() ==
DataTypes.TIMESTAMP) {
+ dataFromBytes = (long) dataFromBytes / 1000L;
+ }
+ preparedRow[i] = dataFromBytes;
+ } else {
+ preparedRow[i] = noDictionaryKeyByIndex;
+ }
}
}
}
// at last add implicit column position reference(PID)
+ preparedRow[i] = implicitColumnByteArray;
- preparedRow[i] = wrapper.getImplicitColumnByteArray();
+ // In case of complex array type, flatten the data and add for sorting
+ // TODO: Handle for nested array and other complex types
Review comment:
Please mention in some doc, that nexted complex is not supported
##########
File path:
integration/spark/src/main/java/org/apache/spark/sql/secondaryindex/query/SecondaryIndexQueryResultProcessor.java
##########
@@ -243,46 +258,115 @@ private void
processResult(List<CarbonIterator<RowBatch>> detailQueryResultItera
/**
* This method will prepare the data from raw object that will take part in
sorting
*/
- private Object[] prepareRowObjectForSorting(Object[] row) {
+ private Object[] prepareRowObjectForSorting(Object[] row,
+ Map<Integer, GenericQueryType> complexDimensionInfoMap, int[]
complexColumnParentBlockIndexes)
+ throws SecondaryIndexException {
ByteArrayWrapper wrapper = (ByteArrayWrapper) row[0];
- // ByteBuffer[] noDictionaryBuffer = new ByteBuffer[noDictionaryCount];
+ byte[] implicitColumnByteArray = wrapper.getImplicitColumnByteArray();
List<CarbonDimension> dimensions = segmentProperties.getDimensions();
Object[] preparedRow = new Object[dimensions.size() + measureCount];
+ Map<Integer, Object[]> complexDataMap = new HashMap<>();
int noDictionaryIndex = 0;
int dictionaryIndex = 0;
+ int complexIndex = 0;
int i = 0;
// loop excluding last dimension as last one is implicit column.
for (; i < dimensions.size() - 1; i++) {
CarbonDimension dims = dimensions.get(i);
- if (dims.hasEncoding(Encoding.DICTIONARY)) {
+ boolean isComplexColumn = false;
+ // check if dimension is a complex data type
+ if (!complexDimensionInfoMap.isEmpty() &&
complexColumnParentBlockIndexes.length > 0) {
+ for (GenericQueryType queryType : complexDimensionInfoMap.values()) {
+ if (queryType.getName().equalsIgnoreCase(dims.getColName())) {
+ isComplexColumn = true;
+ break;
+ }
+ }
+ }
+ if (dims.hasEncoding(Encoding.DICTIONARY) && !isComplexColumn) {
// dictionary
preparedRow[i] = wrapper.getDictionaryKeyByIndex(dictionaryIndex++);
} else {
- // no dictionary dims
- byte[] noDictionaryKeyByIndex =
wrapper.getNoDictionaryKeyByIndex(noDictionaryIndex++);
- // no dictionary primitive columns are expected to be in original data
while loading,
- // so convert it to original data
- if (DataTypeUtil.isPrimitiveColumn(dims.getDataType())) {
- Object dataFromBytes =
DataTypeUtil.getDataBasedOnDataTypeForNoDictionaryColumn(
- noDictionaryKeyByIndex, dims.getDataType());
- if (null != dataFromBytes && dims.getDataType() ==
DataTypes.TIMESTAMP) {
- dataFromBytes = (long) dataFromBytes / 1000L;
+ if (isComplexColumn) {
+ byte[] complexKeyByIndex =
wrapper.getComplexKeyByIndex(complexIndex);
+ ByteBuffer byteArrayInput = ByteBuffer.wrap(complexKeyByIndex);
+ GenericQueryType genericQueryType =
+
complexDimensionInfoMap.get(complexColumnParentBlockIndexes[complexIndex++]);
+ int complexDataLength = byteArrayInput.getShort(2);
+ // In case, if array is empty
+ if (complexDataLength == 0) {
+ complexDataLength = complexDataLength + 1;
+ }
+ // get flattened array data
+ Object[] complexFlattenedData = new Object[complexDataLength];
+ Object[] data =
genericQueryType.getObjectArrayDataBasedOnDataType(byteArrayInput);
+ for (int index = 0; index < complexDataLength; index++) {
+ complexFlattenedData[index] =
+ getData(data, index, dims.getColumnSchema().getDataType());
}
- preparedRow[i] = dataFromBytes;
+ complexDataMap.put(i, complexFlattenedData);
} else {
- preparedRow[i] = noDictionaryKeyByIndex;
+ // no dictionary dims
+ byte[] noDictionaryKeyByIndex =
wrapper.getNoDictionaryKeyByIndex(noDictionaryIndex++);
+ // no dictionary primitive columns are expected to be in original
data while loading,
+ // so convert it to original data
+ if (DataTypeUtil.isPrimitiveColumn(dims.getDataType())) {
+ Object dataFromBytes = DataTypeUtil
+
.getDataBasedOnDataTypeForNoDictionaryColumn(noDictionaryKeyByIndex,
+ dims.getDataType());
+ if (null != dataFromBytes && dims.getDataType() ==
DataTypes.TIMESTAMP) {
+ dataFromBytes = (long) dataFromBytes / 1000L;
+ }
+ preparedRow[i] = dataFromBytes;
+ } else {
+ preparedRow[i] = noDictionaryKeyByIndex;
+ }
}
}
}
// at last add implicit column position reference(PID)
+ preparedRow[i] = implicitColumnByteArray;
- preparedRow[i] = wrapper.getImplicitColumnByteArray();
+ // In case of complex array type, flatten the data and add for sorting
+ // TODO: Handle for nested array and other complex types
Review comment:
Please mention in some doc, that nested complex is not supported
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