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A table format for huge analytic datasets
/*
* 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;
import org.apache.iceberg.spark.procedures.SparkProcedures;
import org.apache.iceberg.spark.procedures.SparkProcedures.ProcedureBuilder;
import org.apache.spark.sql.catalyst.analysis.NoSuchProcedureException;
import org.apache.spark.sql.connector.catalog.Identifier;
import org.apache.spark.sql.connector.catalog.StagingTableCatalog;
import org.apache.spark.sql.connector.catalog.SupportsNamespaces;
import org.apache.spark.sql.connector.iceberg.catalog.Procedure;
import org.apache.spark.sql.connector.iceberg.catalog.ProcedureCatalog;
abstract class BaseCatalog implements StagingTableCatalog, ProcedureCatalog, SupportsNamespaces {
@Override
public Procedure loadProcedure(Identifier ident) throws NoSuchProcedureException {
String[] namespace = ident.namespace();
String name = ident.name();
// namespace resolution is case insensitive until we have a way to configure case sensitivity in catalogs
if (namespace.length == 1 && namespace[0].equalsIgnoreCase("system")) {
ProcedureBuilder builder = SparkProcedures.newBuilder(name);
if (builder != null) {
return builder.withTableCatalog(this).build();
}
}
throw new NoSuchProcedureException(ident);
}
}
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