Package org.apache.druid.query.groupby.epinephelinae.vector

Class GroupByVectorColumnProcessorFactory

java.lang.Object

org.apache.druid.query.groupby.epinephelinae.vector.GroupByVectorColumnProcessorFactory

All Implemented Interfaces:

VectorColumnProcessorFactory<GroupByVectorColumnSelector>

public class GroupByVectorColumnProcessorFactory
extends Object
implements VectorColumnProcessorFactory<GroupByVectorColumnSelector>

Method Summary

Modifier and Type	Method	Description
static GroupByVectorColumnProcessorFactory	instance()
GroupByVectorColumnSelector	makeArrayProcessor(ColumnCapabilities capabilities, VectorObjectSelector selector)	Called when TypeSignature.getType() is ARRAY.
GroupByVectorColumnSelector	makeDoubleProcessor(ColumnCapabilities capabilities, VectorValueSelector selector)	Called when TypeSignature.getType() is DOUBLE.
GroupByVectorColumnSelector	makeFloatProcessor(ColumnCapabilities capabilities, VectorValueSelector selector)	Called when TypeSignature.getType() is FLOAT.
GroupByVectorColumnSelector	makeLongProcessor(ColumnCapabilities capabilities, VectorValueSelector selector)	Called when TypeSignature.getType() is LONG.
GroupByVectorColumnSelector	makeMultiValueDimensionProcessor(ColumnCapabilities capabilities, MultiValueDimensionVectorSelector selector)	Called only if TypeSignature.getType() is STRING and the underlying column may have multiple values per row.
GroupByVectorColumnSelector	makeObjectProcessor(ColumnCapabilities capabilities, VectorObjectSelector selector)	Called when TypeSignature.getType() is COMPLEX.
GroupByVectorColumnSelector	makeSingleValueDimensionProcessor(ColumnCapabilities capabilities, SingleValueDimensionVectorSelector selector)	Called only if TypeSignature.getType() is STRING and the underlying column always has a single value per row.
boolean	useDictionaryEncodedSelector(ColumnCapabilities capabilities)	The group by engine vector processor has a more relaxed approach to choosing to use a dictionary encoded string selector over an object selector than some of the other VectorColumnProcessorFactory implementations.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

instance

public static GroupByVectorColumnProcessorFactory instance()

makeSingleValueDimensionProcessor

public GroupByVectorColumnSelector makeSingleValueDimensionProcessor(ColumnCapabilities capabilities,
 SingleValueDimensionVectorSelector selector)

Description copied from interface: VectorColumnProcessorFactory

Called only if TypeSignature.getType() is STRING and the underlying column always has a single value per row. Note that for STRING-typed columns where the dictionary does not exist or is not expected to be useful, VectorColumnProcessorFactory.makeObjectProcessor(org.apache.druid.segment.column.ColumnCapabilities, org.apache.druid.segment.vector.VectorObjectSelector) may be called instead. To handle all string inputs properly, processors must implement all three methods (single-value, multi-value, object).

Specified by:

makeSingleValueDimensionProcessor in interface VectorColumnProcessorFactory<GroupByVectorColumnSelector>

makeMultiValueDimensionProcessor

public GroupByVectorColumnSelector makeMultiValueDimensionProcessor(ColumnCapabilities capabilities,
 MultiValueDimensionVectorSelector selector)

Description copied from interface: VectorColumnProcessorFactory

Called only if TypeSignature.getType() is STRING and the underlying column may have multiple values per row. Note that for STRING-typed columns where the dictionary does not exist or is not expected to be useful, VectorColumnProcessorFactory.makeObjectProcessor(org.apache.druid.segment.column.ColumnCapabilities, org.apache.druid.segment.vector.VectorObjectSelector) may be called instead. To handle all string inputs properly, processors must implement all three methods (single-value, multi-value, object).

Specified by:

makeMultiValueDimensionProcessor in interface VectorColumnProcessorFactory<GroupByVectorColumnSelector>

makeFloatProcessor

public GroupByVectorColumnSelector makeFloatProcessor(ColumnCapabilities capabilities,
 VectorValueSelector selector)

Description copied from interface: VectorColumnProcessorFactory

Called when TypeSignature.getType() is FLOAT.

Specified by:

makeFloatProcessor in interface VectorColumnProcessorFactory<GroupByVectorColumnSelector>

makeDoubleProcessor

public GroupByVectorColumnSelector makeDoubleProcessor(ColumnCapabilities capabilities,
 VectorValueSelector selector)

Description copied from interface: VectorColumnProcessorFactory

Called when TypeSignature.getType() is DOUBLE.

Specified by:

makeDoubleProcessor in interface VectorColumnProcessorFactory<GroupByVectorColumnSelector>

makeLongProcessor

public GroupByVectorColumnSelector makeLongProcessor(ColumnCapabilities capabilities,
 VectorValueSelector selector)

Description copied from interface: VectorColumnProcessorFactory

Called when TypeSignature.getType() is LONG.

Specified by:

makeLongProcessor in interface VectorColumnProcessorFactory<GroupByVectorColumnSelector>

makeArrayProcessor

public GroupByVectorColumnSelector makeArrayProcessor(ColumnCapabilities capabilities,
 VectorObjectSelector selector)

Description copied from interface: VectorColumnProcessorFactory

Called when TypeSignature.getType() is ARRAY.

Specified by:

makeArrayProcessor in interface VectorColumnProcessorFactory<GroupByVectorColumnSelector>

makeObjectProcessor

public GroupByVectorColumnSelector makeObjectProcessor(ColumnCapabilities capabilities,
 VectorObjectSelector selector)

Description copied from interface: VectorColumnProcessorFactory

Called when TypeSignature.getType() is COMPLEX. May also be called for STRING typed columns in cases where the dictionary does not exist or is not expected to be useful.

Specified by:

makeObjectProcessor in interface VectorColumnProcessorFactory<GroupByVectorColumnSelector>

See Also:

• for details on what can appear here when type is STRING

useDictionaryEncodedSelector

public boolean useDictionaryEncodedSelector(ColumnCapabilities capabilities)

The group by engine vector processor has a more relaxed approach to choosing to use a dictionary encoded string selector over an object selector than some of the other VectorColumnProcessorFactory implementations. Basically, if a valid dictionary exists, we will use it to group on dictionary ids (so that we can use SingleValueStringGroupByVectorColumnSelector whenever possible instead of DictionaryBuildingSingleValueStringGroupByVectorColumnSelector). We do this even for things like virtual columns that have a single string input, because it allows deferring accessing any of the actual string values, which involves at minimum reading utf8 byte values and converting them to string form (if not already cached), and in the case of expressions, computing the expression output for the string input.

Specified by:

useDictionaryEncodedSelector in interface VectorColumnProcessorFactory<GroupByVectorColumnSelector>