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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
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*/
package org.apache.iceberg.spark;
import org.apache.iceberg.spark.functions.SparkFunctions;
import org.apache.spark.sql.catalyst.analysis.NoSuchFunctionException;
import org.apache.spark.sql.catalyst.analysis.NoSuchNamespaceException;
import org.apache.spark.sql.connector.catalog.FunctionCatalog;
import org.apache.spark.sql.connector.catalog.Identifier;
import org.apache.spark.sql.connector.catalog.functions.UnboundFunction;
import scala.Option;
interface SupportsFunctions extends FunctionCatalog {
default boolean isFunctionNamespace(String[] namespace) {
return namespace.length == 0;
}
default boolean isExistingNamespace(String[] namespace) {
return namespace.length == 0;
}
default Identifier[] listFunctions(String[] namespace) throws NoSuchNamespaceException {
if (isFunctionNamespace(namespace)) {
return SparkFunctions.list().stream()
.map(name -> Identifier.of(namespace, name))
.toArray(Identifier[]::new);
} else if (isExistingNamespace(namespace)) {
return new Identifier[0];
}
throw new NoSuchNamespaceException(namespace);
}
default UnboundFunction loadFunction(Identifier ident) throws NoSuchFunctionException {
String[] namespace = ident.namespace();
String name = ident.name();
if (isFunctionNamespace(namespace)) {
UnboundFunction func = SparkFunctions.load(name);
if (func != null) {
return func;
}
}
throw new NoSuchFunctionException(
String.format("Cannot load function: %s.%s", name(), ident), Option.empty());
}
}