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/*
* Licensed to Metamarkets Group Inc. (Metamarkets) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. Metamarkets licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package io.druid.sql.calcite.expression;
import com.google.common.base.Preconditions;
import io.druid.query.dimension.DefaultDimensionSpec;
import io.druid.query.dimension.DimensionSpec;
import io.druid.query.dimension.ExtractionDimensionSpec;
import io.druid.query.extraction.ExtractionFn;
import io.druid.segment.column.Column;
import io.druid.segment.column.ValueType;
import io.druid.segment.filter.Filters;
import io.druid.sql.calcite.rel.DruidQueryBuilder;
import io.druid.sql.calcite.table.RowSignature;
/**
* Represents an extraction of a value from a Druid row. Can be used for grouping, filtering, etc.
*
* Currently this is a column plus an extractionFn, but it's expected that as time goes on, this will become more
* general and allow for variously-typed extractions from multiple columns.
*/
public class RowExtraction
{
private final String column;
private final ExtractionFn extractionFn;
public RowExtraction(String column, ExtractionFn extractionFn)
{
this.column = Preconditions.checkNotNull(column, "column");
this.extractionFn = extractionFn;
}
public static RowExtraction of(String column, ExtractionFn extractionFn)
{
return new RowExtraction(column, extractionFn);
}
public static RowExtraction fromDimensionSpec(final DimensionSpec dimensionSpec)
{
if (dimensionSpec instanceof ExtractionDimensionSpec) {
return RowExtraction.of(
dimensionSpec.getDimension(),
((ExtractionDimensionSpec) dimensionSpec).getExtractionFn()
);
} else if (dimensionSpec instanceof DefaultDimensionSpec) {
return RowExtraction.of(dimensionSpec.getDimension(), null);
} else {
return null;
}
}
public static RowExtraction fromQueryBuilder(
final DruidQueryBuilder queryBuilder,
final int fieldNumber
)
{
final String fieldName = queryBuilder.getRowOrder().get(fieldNumber);
if (queryBuilder.getGrouping() != null) {
for (DimensionSpec dimensionSpec : queryBuilder.getGrouping().getDimensions()) {
if (dimensionSpec.getOutputName().equals(fieldName)) {
return RowExtraction.fromDimensionSpec(dimensionSpec);
}
}
return null;
} else if (queryBuilder.getSelectProjection() != null) {
for (DimensionSpec dimensionSpec : queryBuilder.getSelectProjection().getDimensions()) {
if (dimensionSpec.getOutputName().equals(fieldName)) {
return RowExtraction.fromDimensionSpec(dimensionSpec);
}
}
for (String metricName : queryBuilder.getSelectProjection().getMetrics()) {
if (metricName.equals(fieldName)) {
return RowExtraction.of(metricName, null);
}
}
return null;
} else {
// No select projection or grouping.
return RowExtraction.of(queryBuilder.getRowOrder().get(fieldNumber), null);
}
}
public String getColumn()
{
return column;
}
public ExtractionFn getExtractionFn()
{
return extractionFn;
}
/**
* Check if this extraction can be used to build a filter on a Druid dataSource. This method exists because we can't
* filter on floats (yet) and things like DruidFilterRule need to check for that.
*
* @param rowSignature row signature of the dataSource
*
* @return whether or not this extraction is filterable
*/
public boolean isFilterable(final RowSignature rowSignature)
{
return Filters.FILTERABLE_TYPES.contains(rowSignature.getColumnType(column));
}
public DimensionSpec toDimensionSpec(
final RowSignature rowSignature,
final String outputName,
final ValueType outputType
)
{
Preconditions.checkNotNull(outputType, "outputType");
final ValueType columnType = rowSignature.getColumnType(column);
if (columnType == null) {
return null;
}
if (columnType == ValueType.STRING || (column.equals(Column.TIME_COLUMN_NAME) && extractionFn != null)) {
return extractionFn == null
? new DefaultDimensionSpec(column, outputName, outputType)
: new ExtractionDimensionSpec(column, outputName, outputType, extractionFn);
} else if (columnType == ValueType.LONG || columnType == ValueType.FLOAT) {
if (extractionFn == null) {
return new DefaultDimensionSpec(column, outputName, outputType);
} else {
return new ExtractionDimensionSpec(column, outputName, outputType, extractionFn);
}
} else {
// Can't create dimensionSpecs for non-string, non-numeric columns
return null;
}
}
@Override
public boolean equals(Object o)
{
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
RowExtraction that = (RowExtraction) o;
if (column != null ? !column.equals(that.column) : that.column != null) {
return false;
}
return extractionFn != null ? extractionFn.equals(that.extractionFn) : that.extractionFn == null;
}
@Override
public int hashCode()
{
int result = column != null ? column.hashCode() : 0;
result = 31 * result + (extractionFn != null ? extractionFn.hashCode() : 0);
return result;
}
@Override
public String toString()
{
if (extractionFn != null) {
return String.format("%s(%s)", extractionFn, column);
} else {
return column;
}
}
}
