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0001 /* 0002 * Licensed to the Apache Software Foundation (ASF) under one or more 0003 * contributor license agreements. See the NOTICE file distributed with 0004 * this work for additional information regarding copyright ownership. 0005 * The ASF licenses this file to You under the Apache License, Version 2.0 0006 * (the "License"); you may not use this file except in compliance with 0007 * the License. You may obtain a copy of the License at 0008 * 0009 * http://www.apache.org/licenses/LICENSE-2.0 0010 * 0011 * Unless required by applicable law or agreed to in writing, software 0012 * distributed under the License is distributed on an "AS IS" BASIS, 0013 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 0014 * See the License for the specific language governing permissions and 0015 * limitations under the License. 0016 */ 0017 0018 package org.apache.spark.sql.connector.catalog; 0019 0020 import java.util.Map; 0021 0022 import org.apache.spark.annotation.Evolving; 0023 import org.apache.spark.sql.connector.expressions.Transform; 0024 import org.apache.spark.sql.types.StructType; 0025 import org.apache.spark.sql.util.CaseInsensitiveStringMap; 0026 0027 /** 0028 * The base interface for v2 data sources which don't have a real catalog. Implementations must 0029 * have a public, 0-arg constructor. 0030 * <p> 0031 * Note that, TableProvider can only apply data operations to existing tables, like read, append, 0032 * delete, and overwrite. It does not support the operations that require metadata changes, like 0033 * create/drop tables. 0034 * <p> 0035 * The major responsibility of this interface is to return a {@link Table} for read/write. 0036 * </p> 0037 * 0038 * @since 3.0.0 0039 */ 0040 @Evolving 0041 public interface TableProvider { 0042 0043 /** 0044 * Infer the schema of the table identified by the given options. 0045 * 0046 * @param options an immutable case-insensitive string-to-string map that can identify a table, 0047 * e.g. file path, Kafka topic name, etc. 0048 */ 0049 StructType inferSchema(CaseInsensitiveStringMap options); 0050 0051 /** 0052 * Infer the partitioning of the table identified by the given options. 0053 * <p> 0054 * By default this method returns empty partitioning, please override it if this source support 0055 * partitioning. 0056 * 0057 * @param options an immutable case-insensitive string-to-string map that can identify a table, 0058 * e.g. file path, Kafka topic name, etc. 0059 */ 0060 default Transform[] inferPartitioning(CaseInsensitiveStringMap options) { 0061 return new Transform[0]; 0062 } 0063 0064 /** 0065 * Return a {@link Table} instance with the specified table schema, partitioning and properties 0066 * to do read/write. The returned table should report the same schema and partitioning with the 0067 * specified ones, or Spark may fail the operation. 0068 * 0069 * @param schema The specified table schema. 0070 * @param partitioning The specified table partitioning. 0071 * @param properties The specified table properties. It's case preserving (contains exactly what 0072 * users specified) and implementations are free to use it case sensitively or 0073 * insensitively. It should be able to identify a table, e.g. file path, Kafka 0074 * topic name, etc. 0075 */ 0076 Table getTable(StructType schema, Transform[] partitioning, Map<String, String> properties); 0077 0078 /** 0079 * Returns true if the source has the ability of accepting external table metadata when getting 0080 * tables. The external table metadata includes user-specified schema from 0081 * `DataFrameReader`/`DataStreamReader` and schema/partitioning stored in Spark catalog. 0082 * <p> 0083 * By default this method returns false, which means the schema and partitioning passed to 0084 * `getTable` are from the infer methods. Please override it if this source has expensive 0085 * schema/partitioning inference and wants external table metadata to avoid inference. 0086 */ 0087 default boolean supportsExternalMetadata() { 0088 return false; 0089 } 0090 }
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