mirror of https://github.com/apache/druid.git
make COMPLEX column optionally filterable in Druid code (#6223)
* make COMPLEX column filterable in Druid code
* Revert "make COMPLEX column filterable in Druid code"
This reverts commit 9fc6ec768c
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* complex columns can be optionally made filterable
* some types are always filterable
* add ColumnCapabilitiesImpl serde tests
* add SuppresedWarnings annotation
This commit is contained in:
parent
be6c901114
commit
d61f708ef5
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@ -29,10 +29,8 @@ import org.apache.druid.segment.column.BitmapIndex;
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import org.apache.druid.segment.column.Column;
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import org.apache.druid.segment.column.DictionaryEncodedColumn;
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import org.apache.druid.segment.column.GenericColumn;
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import org.apache.druid.segment.column.ValueType;
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import org.apache.druid.segment.data.Indexed;
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import org.apache.druid.segment.data.IndexedIterable;
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import org.apache.druid.segment.filter.Filters;
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import java.util.Iterator;
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@ -142,7 +140,7 @@ public class ColumnSelectorBitmapIndexSelector implements BitmapIndexSelector
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}
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final Column column = index.getColumn(dimension);
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if (column == null || !columnSupportsFiltering(column)) {
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if (column == null || !column.getCapabilities().isFilterable()) {
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// for missing columns and columns with types that do not support filtering,
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// treat the column as if it were a String column full of nulls.
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// Create a BitmapIndex so that filters applied to null columns can use
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@ -212,7 +210,7 @@ public class ColumnSelectorBitmapIndexSelector implements BitmapIndexSelector
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}
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final Column column = index.getColumn(dimension);
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if (column == null || !columnSupportsFiltering(column)) {
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if (column == null || !column.getCapabilities().isFilterable()) {
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if (NullHandling.isNullOrEquivalent(value)) {
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return bitmapFactory.complement(bitmapFactory.makeEmptyImmutableBitmap(), getNumRows());
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} else {
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@ -247,10 +245,4 @@ public class ColumnSelectorBitmapIndexSelector implements BitmapIndexSelector
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{
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return virtualColumns.getVirtualColumn(columnName) != null;
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}
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private static boolean columnSupportsFiltering(Column column)
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{
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ValueType columnType = column.getCapabilities().getType();
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return Filters.FILTERABLE_TYPES.contains(columnType);
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}
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}
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@ -29,6 +29,7 @@ public class ColumnBuilder
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{
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private ValueType type = null;
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private boolean hasMultipleValues = false;
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private boolean filterable = false;
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private Supplier<DictionaryEncodedColumn> dictionaryEncodedColumn = null;
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private Supplier<GenericColumn> genericColumn = null;
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@ -60,6 +61,13 @@ public class ColumnBuilder
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return this;
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}
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@SuppressWarnings("unused")
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public ColumnBuilder setFilterable(boolean filterable)
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{
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this.filterable = filterable;
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return this;
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}
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public ColumnBuilder setDictionaryEncodedColumn(Supplier<DictionaryEncodedColumn> dictionaryEncodedColumn)
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{
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this.dictionaryEncodedColumn = dictionaryEncodedColumn;
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@ -100,7 +108,8 @@ public class ColumnBuilder
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.setDictionaryEncoded(dictionaryEncodedColumn != null)
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.setHasBitmapIndexes(bitmapIndex != null)
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.setHasSpatialIndexes(spatialIndex != null)
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.setHasMultipleValues(hasMultipleValues),
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.setHasMultipleValues(hasMultipleValues)
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.setFilterable(filterable),
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dictionaryEncodedColumn,
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genericColumn,
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complexColumn,
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@ -30,4 +30,5 @@ public interface ColumnCapabilities
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boolean hasBitmapIndexes();
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boolean hasSpatialIndexes();
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boolean hasMultipleValues();
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boolean isFilterable();
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}
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@ -19,6 +19,7 @@
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package org.apache.druid.segment.column;
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import com.fasterxml.jackson.annotation.JsonIgnore;
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import com.fasterxml.jackson.annotation.JsonProperty;
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import org.apache.druid.java.util.common.ISE;
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@ -33,6 +34,10 @@ public class ColumnCapabilitiesImpl implements ColumnCapabilities
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private boolean hasSpatialIndexes = false;
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private boolean hasMultipleValues = false;
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// This is a query time concept and not persisted in the segment files.
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@JsonIgnore
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private boolean filterable;
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@Override
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@JsonProperty
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public ValueType getType()
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@ -99,6 +104,22 @@ public class ColumnCapabilitiesImpl implements ColumnCapabilities
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return hasMultipleValues;
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}
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@Override
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public boolean isFilterable()
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{
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return type == ValueType.STRING ||
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type == ValueType.LONG ||
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type == ValueType.FLOAT ||
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type == ValueType.DOUBLE ||
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filterable;
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}
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public ColumnCapabilitiesImpl setFilterable(boolean filterable)
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{
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this.filterable = filterable;
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return this;
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}
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public ColumnCapabilitiesImpl setHasMultipleValues(boolean hasMultipleValues)
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{
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this.hasMultipleValues = hasMultipleValues;
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@ -124,5 +145,6 @@ public class ColumnCapabilitiesImpl implements ColumnCapabilities
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this.hasInvertedIndexes |= other.hasBitmapIndexes();
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this.hasSpatialIndexes |= other.hasSpatialIndexes();
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this.hasMultipleValues |= other.hasMultipleValues();
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this.filterable &= other.isFilterable();
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}
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}
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@ -64,12 +64,6 @@ import java.util.NoSuchElementException;
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*/
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public class Filters
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{
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public static final List<ValueType> FILTERABLE_TYPES = ImmutableList.of(
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ValueType.STRING,
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ValueType.LONG,
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ValueType.FLOAT,
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ValueType.DOUBLE
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);
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private static final String CTX_KEY_USE_FILTER_CNF = "useFilterCNF";
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/**
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@ -0,0 +1,79 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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package org.apache.druid.segment.column;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import org.apache.druid.segment.TestHelper;
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import org.junit.Assert;
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import org.junit.Test;
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public class ColumnCapabilitiesImplTest
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{
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private final ObjectMapper mapper = TestHelper.makeJsonMapper();
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@Test
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public void testSerde() throws Exception
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{
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String json = mapper.writeValueAsString(new ColumnCapabilitiesImpl()
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.setDictionaryEncoded(true)
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.setHasBitmapIndexes(true)
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.setHasMultipleValues(true)
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.setHasSpatialIndexes(true)
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.setType(ValueType.COMPLEX)
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.setFilterable(true));
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Assert.assertFalse(json.contains("filterable"));
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ColumnCapabilities cc = mapper.readValue(json, ColumnCapabilitiesImpl.class);
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Assert.assertEquals(ValueType.COMPLEX, cc.getType());
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Assert.assertTrue(cc.isDictionaryEncoded());
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Assert.assertFalse(cc.isRunLengthEncoded());
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Assert.assertTrue(cc.hasSpatialIndexes());
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Assert.assertTrue(cc.hasMultipleValues());
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Assert.assertTrue(cc.hasBitmapIndexes());
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Assert.assertFalse(cc.isFilterable());
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}
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@Test
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public void testDeserialization() throws Exception
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{
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String json = "{\n"
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+ " \"type\":\"COMPLEX\",\n"
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+ " \"dictionaryEncoded\":true,\n"
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+ " \"runLengthEncoded\":true,\n"
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+ " \"hasSpatialIndexes\":true,\n"
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+ " \"hasMultipleValues\":true,\n"
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+ " \"hasBitmapIndexes\":true,\n"
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+ " \"filterable\":true\n"
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+ "}";
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ColumnCapabilities cc = mapper.readValue(json, ColumnCapabilitiesImpl.class);
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Assert.assertEquals(ValueType.COMPLEX, cc.getType());
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Assert.assertTrue(cc.isDictionaryEncoded());
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Assert.assertTrue(cc.isRunLengthEncoded());
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Assert.assertTrue(cc.hasSpatialIndexes());
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Assert.assertTrue(cc.hasMultipleValues());
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Assert.assertTrue(cc.hasBitmapIndexes());
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Assert.assertFalse(cc.isFilterable());
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}
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}
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