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Cassandra support for Spring Data
/*
* Copyright 2018-2020 the original author or authors.
*
* Licensed 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
*
* https://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 org.springframework.data.cassandra.repository.query;
import lombok.experimental.UtilityClass;
import java.util.Arrays;
import java.util.HashSet;
import java.util.Set;
import com.datastax.driver.core.ColumnDefinitions;
import com.datastax.driver.core.DataType;
import com.datastax.driver.core.Row;
/**
* Utility methods for projections.
*
* @author Mark Paluch
* @since 2.1
*/
@UtilityClass
class ProjectionUtil {
private final static Set NUMERIC_TYPES = new HashSet<>(Arrays.asList(DataType.bigint(), DataType.varint(),
DataType.smallint(), DataType.cint(), DataType.counter(), DataType.tinyint()));
/**
* Determine whether multiple {@code boolean} flags are set. Allowed is at most a single {@literal true} value.
*
* @param flags
* @return {@literal true} if more than one {@code flag} is set to {@literal true}.
*/
static boolean hasAmbiguousProjectionFlags(Boolean... flags) {
return Arrays.stream(flags).filter(Boolean::booleanValue).count() > 1;
}
/**
* Determine whether the {@link Row} qualifies as a count projection. Count projection candidates have a single
* numeric column.
*
* @param row {@link Row} to evaluate for a count projection.
* @return a boolean value indicating whether the {@link Row} qualifies as a count projection.
*/
static boolean qualifiesAsCountProjection(Row row) {
ColumnDefinitions columnDefinitions = row.getColumnDefinitions();
return columnDefinitions.size() == 1 && NUMERIC_TYPES.contains(columnDefinitions.getType(0));
}
}