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A table format for huge analytic datasets
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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF 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 org.apache.iceberg.spark.functions;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList;
import org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap;
import org.apache.spark.sql.connector.catalog.functions.UnboundFunction;
public class SparkFunctions {
private SparkFunctions() {}
private static final Map FUNCTIONS =
ImmutableMap.of(
"iceberg_version", new IcebergVersionFunction(),
"years", new YearsFunction(),
"months", new MonthsFunction(),
"days", new DaysFunction(),
"hours", new HoursFunction(),
"bucket", new BucketFunction(),
"truncate", new TruncateFunction());
private static final Map, UnboundFunction> CLASS_TO_FUNCTIONS =
ImmutableMap.of(
YearsFunction.class, new YearsFunction(),
MonthsFunction.class, new MonthsFunction(),
DaysFunction.class, new DaysFunction(),
HoursFunction.class, new HoursFunction(),
BucketFunction.class, new BucketFunction(),
TruncateFunction.class, new TruncateFunction());
private static final List FUNCTION_NAMES = ImmutableList.copyOf(FUNCTIONS.keySet());
// Functions that are added to all Iceberg catalogs should be accessed with the `system`
// namespace. They can also be accessed with no namespace at all if qualified with the
// catalog name, e.g. my_hadoop_catalog.iceberg_version().
// As namespace resolution is handled by those rules in BaseCatalog, a list of names
// alone is returned.
public static List list() {
return FUNCTION_NAMES;
}
public static UnboundFunction load(String name) {
// function resolution is case-insensitive to match the existing Spark behavior for functions
return FUNCTIONS.get(name.toLowerCase(Locale.ROOT));
}
public static UnboundFunction loadFunctionByClass(Class> functionClass) {
Class> declaringClass = functionClass.getDeclaringClass();
if (declaringClass == null) {
return null;
}
return CLASS_TO_FUNCTIONS.get(declaringClass);
}
}