danny0405 commented on code in PR #5445: URL: https://github.com/apache/hudi/pull/5445#discussion_r865571243
########## hudi-flink-datasource/hudi-flink/src/main/java/org/apache/hudi/util/HoodiePipeline.java: ########## @@ -0,0 +1,263 @@ +/* + * 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.hudi.util; + +import org.apache.hudi.exception.HoodieException; +import org.apache.hudi.table.HoodieTableFactory; + +import org.apache.flink.configuration.ConfigOption; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.datastream.DataStreamSink; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.table.api.EnvironmentSettings; +import org.apache.flink.table.api.internal.TableEnvironmentImpl; +import org.apache.flink.table.catalog.Catalog; +import org.apache.flink.table.catalog.ObjectIdentifier; +import org.apache.flink.table.catalog.ObjectPath; +import org.apache.flink.table.catalog.ResolvedCatalogTable; +import org.apache.flink.table.catalog.exceptions.TableNotExistException; +import org.apache.flink.table.connector.sink.DataStreamSinkProvider; +import org.apache.flink.table.connector.source.DataStreamScanProvider; +import org.apache.flink.table.connector.source.ScanTableSource; +import org.apache.flink.table.data.RowData; +import org.apache.flink.table.factories.FactoryUtil; +import org.apache.flink.table.runtime.connector.sink.SinkRuntimeProviderContext; +import org.apache.flink.table.runtime.connector.source.ScanRuntimeProviderContext; +import org.apache.log4j.LogManager; +import org.apache.log4j.Logger; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; + +/** + * A tool class to construct hoodie flink pipeline. + * + * <p>How to use ?</p> + * Method {@link #builder(String)} returns a pipeline builder. The builder + * can then define the hudi table columns, primary keys and partitions. + * + * <p>An example:</p> + * <pre> + * HoodiePipeline.Builder builder = HoodiePipeline.builder("myTable"); + * DataStreamSink<?> sinkStream = builder + * .column("f0 int") + * .column("f1 varchar(10)") + * .column("f2 varchar(20)") + * .pk("f0,f1") + * .partition("f2") + * .sink(input, false); + * </pre> + */ +public class HoodiePipeline { + + private static final Logger LOG = LogManager.getLogger(HoodiePipeline.class); + + /** + * Returns the builder for hoodie pipeline construction. + */ + public static Builder builder(String tableName) { + return new Builder(tableName); + } + + /** + * Builder for hudi source/sink pipeline construction. + */ + public static class Builder { + private final String tableName; + private final List<String> columns; + private final Map<String, String> options; + + private String pk; + private List<String> partitions; + + public Builder self() { + return this; + } + + private Builder(String tableName) { + this.tableName = tableName; + this.columns = new ArrayList<>(); + this.options = new HashMap<>(); + this.partitions = new ArrayList<>(); + } + + /** + * Add a table column definition. + * + * @param column the column format should be in the form like 'f0 int' + */ + public Builder column(String column) { + this.columns.add(column); + return self(); + } + + /** + * Add primary keys. + */ + public Builder pk(String... pks) { + this.pk = String.join(",", pks); + return self(); + } + + /** + * Add partition fields. + */ + public Builder partition(String... partitions) { + this.partitions = new ArrayList<>(Arrays.asList(partitions)); + return self(); + } + + /** + * Add a config option. + */ + public Builder option(ConfigOption<?> option, Object val) { + this.options.put(option.key(), val.toString()); + return self(); + } + + public Builder option(String key, Object val) { + this.options.put(key, val.toString()); + return self(); + } + + public Builder options(Map<String, String> options) { + this.options.putAll(options); + return self(); + } + + public DataStreamSink<?> sink(DataStream<RowData> input, boolean bounded) { + TableDescriptor tableDescriptor = getTableDescriptor(); + return HoodiePipeline.sink(input, tableDescriptor.getTableId(), tableDescriptor.getResolvedCatalogTable(), bounded); + } + + public TableDescriptor getTableDescriptor() { + EnvironmentSettings environmentSettings = EnvironmentSettings + .newInstance() + .build(); + TableEnvironmentImpl tableEnv = TableEnvironmentImpl.create(environmentSettings); + String sql = getCreateHoodieTableDDL(this.tableName, this.columns, this.options, this.pk, this.partitions); + tableEnv.executeSql(sql); + String currentCatalog = tableEnv.getCurrentCatalog(); + ResolvedCatalogTable catalogTable = null; + String defaultDatabase = null; + try { + Catalog catalog = tableEnv.getCatalog(currentCatalog).get(); + defaultDatabase = catalog.getDefaultDatabase(); + catalogTable = (ResolvedCatalogTable) catalog.getTable(new ObjectPath(defaultDatabase, this.tableName)); + } catch (TableNotExistException e) { + throw new HoodieException("Create table " + this.tableName + " exception", e); + } + ObjectIdentifier tableId = ObjectIdentifier.of(currentCatalog, defaultDatabase, this.tableName); + return new TableDescriptor(tableId, catalogTable); + } + + public DataStream<RowData> source(StreamExecutionEnvironment execEnv) { + TableDescriptor tableDescriptor = getTableDescriptor(); + return HoodiePipeline.source(execEnv, tableDescriptor.tableId, tableDescriptor.getResolvedCatalogTable()); + } + } + + private static String getCreateHoodieTableDDL( + String tableName, + List<String> fields, + Map<String, String> options, + String pkField, + List<String> partitionField) { + StringBuilder builder = new StringBuilder(); + builder.append("create table ").append(tableName).append("(\n"); + for (String field : fields) { + builder.append(" ").append(field).append(",\n"); + } + builder.append(" PRIMARY KEY(").append(pkField).append(") NOT ENFORCED\n") + .append(")\n"); + if (!partitionField.isEmpty()) { + String partitons = partitionField + .stream() + .map(partitionName -> "`" + partitionName + "`") + .collect(Collectors.joining(",")); + builder.append("PARTITIONED BY (").append(partitons).append(")\n"); + } + builder.append("with (\n" + + " 'connector' = 'hudi'"); + options.forEach((k, v) -> builder.append(",\n") + .append(" '").append(k).append("' = '").append(v).append("'")); + builder.append("\n)"); + return builder.toString(); + } + + /** + * low-level sink api for insert a datastream to hoodie table described by options and schema + * @param input The Input DataStream + * @param tablePath The tablePath to search a hoodie table in catalog + * @param catalogTable The catalog table to describe hoodie table schema + * @param isBouned The flag to indicate whether a batch execution mode + * @return The data stream sink return by insert a data stream to hoodie table + */ + private static DataStreamSink<?> sink(DataStream<RowData> input, ObjectIdentifier tablePath, ResolvedCatalogTable catalogTable, boolean isBouned) { Review Comment: ```java /** * Returns the data stream sink with given catalog table. * * @param input The input datastream * @param tablePath The table path to the hoodie table in the catalog * @param catalogTable The hoodie catalog table * @param isBounded A flag indicating whether the input data stream is bounded */ ``` ########## hudi-flink-datasource/hudi-flink/src/main/java/org/apache/hudi/util/HoodiePipeline.java: ########## @@ -0,0 +1,263 @@ +/* + * 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.hudi.util; + +import org.apache.hudi.exception.HoodieException; +import org.apache.hudi.table.HoodieTableFactory; + +import org.apache.flink.configuration.ConfigOption; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.datastream.DataStreamSink; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.table.api.EnvironmentSettings; +import org.apache.flink.table.api.internal.TableEnvironmentImpl; +import org.apache.flink.table.catalog.Catalog; +import org.apache.flink.table.catalog.ObjectIdentifier; +import org.apache.flink.table.catalog.ObjectPath; +import org.apache.flink.table.catalog.ResolvedCatalogTable; +import org.apache.flink.table.catalog.exceptions.TableNotExistException; +import org.apache.flink.table.connector.sink.DataStreamSinkProvider; +import org.apache.flink.table.connector.source.DataStreamScanProvider; +import org.apache.flink.table.connector.source.ScanTableSource; +import org.apache.flink.table.data.RowData; +import org.apache.flink.table.factories.FactoryUtil; +import org.apache.flink.table.runtime.connector.sink.SinkRuntimeProviderContext; +import org.apache.flink.table.runtime.connector.source.ScanRuntimeProviderContext; +import org.apache.log4j.LogManager; +import org.apache.log4j.Logger; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; + +/** + * A tool class to construct hoodie flink pipeline. + * + * <p>How to use ?</p> + * Method {@link #builder(String)} returns a pipeline builder. The builder + * can then define the hudi table columns, primary keys and partitions. + * + * <p>An example:</p> + * <pre> + * HoodiePipeline.Builder builder = HoodiePipeline.builder("myTable"); + * DataStreamSink<?> sinkStream = builder + * .column("f0 int") + * .column("f1 varchar(10)") + * .column("f2 varchar(20)") + * .pk("f0,f1") + * .partition("f2") + * .sink(input, false); + * </pre> + */ +public class HoodiePipeline { + + private static final Logger LOG = LogManager.getLogger(HoodiePipeline.class); + + /** + * Returns the builder for hoodie pipeline construction. + */ + public static Builder builder(String tableName) { + return new Builder(tableName); + } + + /** + * Builder for hudi source/sink pipeline construction. + */ + public static class Builder { + private final String tableName; + private final List<String> columns; + private final Map<String, String> options; + + private String pk; + private List<String> partitions; + + public Builder self() { + return this; Review Comment: do we really need this ? Returns `this` directly seems more straight-forward. ########## hudi-flink-datasource/hudi-flink/src/main/java/org/apache/hudi/util/HoodiePipeline.java: ########## @@ -0,0 +1,263 @@ +/* + * 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.hudi.util; + +import org.apache.hudi.exception.HoodieException; +import org.apache.hudi.table.HoodieTableFactory; + +import org.apache.flink.configuration.ConfigOption; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.datastream.DataStreamSink; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.table.api.EnvironmentSettings; +import org.apache.flink.table.api.internal.TableEnvironmentImpl; +import org.apache.flink.table.catalog.Catalog; +import org.apache.flink.table.catalog.ObjectIdentifier; +import org.apache.flink.table.catalog.ObjectPath; +import org.apache.flink.table.catalog.ResolvedCatalogTable; +import org.apache.flink.table.catalog.exceptions.TableNotExistException; +import org.apache.flink.table.connector.sink.DataStreamSinkProvider; +import org.apache.flink.table.connector.source.DataStreamScanProvider; +import org.apache.flink.table.connector.source.ScanTableSource; +import org.apache.flink.table.data.RowData; +import org.apache.flink.table.factories.FactoryUtil; +import org.apache.flink.table.runtime.connector.sink.SinkRuntimeProviderContext; +import org.apache.flink.table.runtime.connector.source.ScanRuntimeProviderContext; +import org.apache.log4j.LogManager; +import org.apache.log4j.Logger; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; + +/** + * A tool class to construct hoodie flink pipeline. + * + * <p>How to use ?</p> + * Method {@link #builder(String)} returns a pipeline builder. The builder + * can then define the hudi table columns, primary keys and partitions. + * + * <p>An example:</p> + * <pre> + * HoodiePipeline.Builder builder = HoodiePipeline.builder("myTable"); + * DataStreamSink<?> sinkStream = builder + * .column("f0 int") + * .column("f1 varchar(10)") + * .column("f2 varchar(20)") + * .pk("f0,f1") + * .partition("f2") + * .sink(input, false); + * </pre> + */ +public class HoodiePipeline { + + private static final Logger LOG = LogManager.getLogger(HoodiePipeline.class); + + /** + * Returns the builder for hoodie pipeline construction. + */ + public static Builder builder(String tableName) { + return new Builder(tableName); + } + + /** + * Builder for hudi source/sink pipeline construction. + */ + public static class Builder { + private final String tableName; + private final List<String> columns; + private final Map<String, String> options; + + private String pk; + private List<String> partitions; + + public Builder self() { + return this; + } + + private Builder(String tableName) { + this.tableName = tableName; + this.columns = new ArrayList<>(); + this.options = new HashMap<>(); + this.partitions = new ArrayList<>(); + } + + /** + * Add a table column definition. + * + * @param column the column format should be in the form like 'f0 int' + */ + public Builder column(String column) { + this.columns.add(column); + return self(); + } + + /** + * Add primary keys. + */ + public Builder pk(String... pks) { + this.pk = String.join(",", pks); + return self(); + } + + /** + * Add partition fields. + */ + public Builder partition(String... partitions) { + this.partitions = new ArrayList<>(Arrays.asList(partitions)); + return self(); + } + + /** + * Add a config option. + */ + public Builder option(ConfigOption<?> option, Object val) { + this.options.put(option.key(), val.toString()); + return self(); + } + + public Builder option(String key, Object val) { + this.options.put(key, val.toString()); + return self(); + } + + public Builder options(Map<String, String> options) { + this.options.putAll(options); + return self(); + } + + public DataStreamSink<?> sink(DataStream<RowData> input, boolean bounded) { + TableDescriptor tableDescriptor = getTableDescriptor(); + return HoodiePipeline.sink(input, tableDescriptor.getTableId(), tableDescriptor.getResolvedCatalogTable(), bounded); + } + + public TableDescriptor getTableDescriptor() { + EnvironmentSettings environmentSettings = EnvironmentSettings + .newInstance() + .build(); + TableEnvironmentImpl tableEnv = TableEnvironmentImpl.create(environmentSettings); + String sql = getCreateHoodieTableDDL(this.tableName, this.columns, this.options, this.pk, this.partitions); + tableEnv.executeSql(sql); + String currentCatalog = tableEnv.getCurrentCatalog(); + ResolvedCatalogTable catalogTable = null; + String defaultDatabase = null; + try { + Catalog catalog = tableEnv.getCatalog(currentCatalog).get(); + defaultDatabase = catalog.getDefaultDatabase(); + catalogTable = (ResolvedCatalogTable) catalog.getTable(new ObjectPath(defaultDatabase, this.tableName)); + } catch (TableNotExistException e) { + throw new HoodieException("Create table " + this.tableName + " exception", e); + } + ObjectIdentifier tableId = ObjectIdentifier.of(currentCatalog, defaultDatabase, this.tableName); + return new TableDescriptor(tableId, catalogTable); + } + + public DataStream<RowData> source(StreamExecutionEnvironment execEnv) { + TableDescriptor tableDescriptor = getTableDescriptor(); + return HoodiePipeline.source(execEnv, tableDescriptor.tableId, tableDescriptor.getResolvedCatalogTable()); + } + } + + private static String getCreateHoodieTableDDL( + String tableName, + List<String> fields, + Map<String, String> options, + String pkField, + List<String> partitionField) { + StringBuilder builder = new StringBuilder(); + builder.append("create table ").append(tableName).append("(\n"); + for (String field : fields) { + builder.append(" ").append(field).append(",\n"); + } + builder.append(" PRIMARY KEY(").append(pkField).append(") NOT ENFORCED\n") + .append(")\n"); + if (!partitionField.isEmpty()) { + String partitons = partitionField + .stream() + .map(partitionName -> "`" + partitionName + "`") + .collect(Collectors.joining(",")); + builder.append("PARTITIONED BY (").append(partitons).append(")\n"); + } + builder.append("with (\n" + + " 'connector' = 'hudi'"); + options.forEach((k, v) -> builder.append(",\n") + .append(" '").append(k).append("' = '").append(v).append("'")); + builder.append("\n)"); + return builder.toString(); + } + + /** + * low-level sink api for insert a datastream to hoodie table described by options and schema + * @param input The Input DataStream + * @param tablePath The tablePath to search a hoodie table in catalog + * @param catalogTable The catalog table to describe hoodie table schema + * @param isBouned The flag to indicate whether a batch execution mode + * @return The data stream sink return by insert a data stream to hoodie table + */ + private static DataStreamSink<?> sink(DataStream<RowData> input, ObjectIdentifier tablePath, ResolvedCatalogTable catalogTable, boolean isBouned) { + FactoryUtil.DefaultDynamicTableContext context = new FactoryUtil.DefaultDynamicTableContext(tablePath, catalogTable, + Configuration.fromMap(catalogTable.getOptions()), Thread.currentThread().getContextClassLoader(), false); + HoodieTableFactory hoodieTableFactory = new HoodieTableFactory(); + return ((DataStreamSinkProvider) hoodieTableFactory.createDynamicTableSink(context) + .getSinkRuntimeProvider(new SinkRuntimeProviderContext(isBouned))) + .consumeDataStream(input); + } + + /** + * low-level source api for read a hoodie table who described by options and schema as a datastream source + * @param execEnv The flink stream execute environment Review Comment: ```java /** * Returns the data stream source with given catalog table. * * @param execEnv The execution environment * @param tablePath The table path to the hoodie table in the catalog * @param catalogTable The hoodie catalog table */ ``` ########## hudi-flink-datasource/hudi-flink/src/main/java/org/apache/hudi/util/HoodiePipeline.java: ########## @@ -0,0 +1,263 @@ +/* + * 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.hudi.util; + +import org.apache.hudi.exception.HoodieException; +import org.apache.hudi.table.HoodieTableFactory; + +import org.apache.flink.configuration.ConfigOption; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.datastream.DataStreamSink; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.table.api.EnvironmentSettings; +import org.apache.flink.table.api.internal.TableEnvironmentImpl; +import org.apache.flink.table.catalog.Catalog; +import org.apache.flink.table.catalog.ObjectIdentifier; +import org.apache.flink.table.catalog.ObjectPath; +import org.apache.flink.table.catalog.ResolvedCatalogTable; +import org.apache.flink.table.catalog.exceptions.TableNotExistException; +import org.apache.flink.table.connector.sink.DataStreamSinkProvider; +import org.apache.flink.table.connector.source.DataStreamScanProvider; +import org.apache.flink.table.connector.source.ScanTableSource; +import org.apache.flink.table.data.RowData; +import org.apache.flink.table.factories.FactoryUtil; +import org.apache.flink.table.runtime.connector.sink.SinkRuntimeProviderContext; +import org.apache.flink.table.runtime.connector.source.ScanRuntimeProviderContext; +import org.apache.log4j.LogManager; +import org.apache.log4j.Logger; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; + +/** + * A tool class to construct hoodie flink pipeline. + * + * <p>How to use ?</p> + * Method {@link #builder(String)} returns a pipeline builder. The builder + * can then define the hudi table columns, primary keys and partitions. + * + * <p>An example:</p> + * <pre> + * HoodiePipeline.Builder builder = HoodiePipeline.builder("myTable"); + * DataStreamSink<?> sinkStream = builder + * .column("f0 int") + * .column("f1 varchar(10)") + * .column("f2 varchar(20)") + * .pk("f0,f1") + * .partition("f2") + * .sink(input, false); + * </pre> + */ +public class HoodiePipeline { + + private static final Logger LOG = LogManager.getLogger(HoodiePipeline.class); + + /** + * Returns the builder for hoodie pipeline construction. + */ + public static Builder builder(String tableName) { + return new Builder(tableName); + } + + /** + * Builder for hudi source/sink pipeline construction. + */ + public static class Builder { + private final String tableName; + private final List<String> columns; + private final Map<String, String> options; + + private String pk; + private List<String> partitions; + + public Builder self() { + return this; + } + + private Builder(String tableName) { + this.tableName = tableName; + this.columns = new ArrayList<>(); + this.options = new HashMap<>(); + this.partitions = new ArrayList<>(); + } + + /** + * Add a table column definition. + * + * @param column the column format should be in the form like 'f0 int' + */ + public Builder column(String column) { + this.columns.add(column); + return self(); + } + + /** + * Add primary keys. + */ + public Builder pk(String... pks) { + this.pk = String.join(",", pks); + return self(); + } + + /** + * Add partition fields. + */ + public Builder partition(String... partitions) { + this.partitions = new ArrayList<>(Arrays.asList(partitions)); + return self(); + } + + /** + * Add a config option. + */ + public Builder option(ConfigOption<?> option, Object val) { + this.options.put(option.key(), val.toString()); + return self(); + } + + public Builder option(String key, Object val) { + this.options.put(key, val.toString()); + return self(); + } + + public Builder options(Map<String, String> options) { + this.options.putAll(options); + return self(); + } + + public DataStreamSink<?> sink(DataStream<RowData> input, boolean bounded) { + TableDescriptor tableDescriptor = getTableDescriptor(); + return HoodiePipeline.sink(input, tableDescriptor.getTableId(), tableDescriptor.getResolvedCatalogTable(), bounded); + } + + public TableDescriptor getTableDescriptor() { + EnvironmentSettings environmentSettings = EnvironmentSettings + .newInstance() + .build(); + TableEnvironmentImpl tableEnv = TableEnvironmentImpl.create(environmentSettings); + String sql = getCreateHoodieTableDDL(this.tableName, this.columns, this.options, this.pk, this.partitions); + tableEnv.executeSql(sql); + String currentCatalog = tableEnv.getCurrentCatalog(); + ResolvedCatalogTable catalogTable = null; + String defaultDatabase = null; + try { + Catalog catalog = tableEnv.getCatalog(currentCatalog).get(); + defaultDatabase = catalog.getDefaultDatabase(); + catalogTable = (ResolvedCatalogTable) catalog.getTable(new ObjectPath(defaultDatabase, this.tableName)); + } catch (TableNotExistException e) { + throw new HoodieException("Create table " + this.tableName + " exception", e); + } + ObjectIdentifier tableId = ObjectIdentifier.of(currentCatalog, defaultDatabase, this.tableName); + return new TableDescriptor(tableId, catalogTable); + } + + public DataStream<RowData> source(StreamExecutionEnvironment execEnv) { + TableDescriptor tableDescriptor = getTableDescriptor(); + return HoodiePipeline.source(execEnv, tableDescriptor.tableId, tableDescriptor.getResolvedCatalogTable()); + } + } + + private static String getCreateHoodieTableDDL( + String tableName, + List<String> fields, + Map<String, String> options, + String pkField, + List<String> partitionField) { + StringBuilder builder = new StringBuilder(); + builder.append("create table ").append(tableName).append("(\n"); + for (String field : fields) { + builder.append(" ").append(field).append(",\n"); + } + builder.append(" PRIMARY KEY(").append(pkField).append(") NOT ENFORCED\n") + .append(")\n"); + if (!partitionField.isEmpty()) { + String partitons = partitionField + .stream() + .map(partitionName -> "`" + partitionName + "`") + .collect(Collectors.joining(",")); + builder.append("PARTITIONED BY (").append(partitons).append(")\n"); + } + builder.append("with (\n" + + " 'connector' = 'hudi'"); + options.forEach((k, v) -> builder.append(",\n") + .append(" '").append(k).append("' = '").append(v).append("'")); + builder.append("\n)"); + return builder.toString(); + } + + /** + * low-level sink api for insert a datastream to hoodie table described by options and schema + * @param input The Input DataStream + * @param tablePath The tablePath to search a hoodie table in catalog + * @param catalogTable The catalog table to describe hoodie table schema + * @param isBouned The flag to indicate whether a batch execution mode + * @return The data stream sink return by insert a data stream to hoodie table + */ + private static DataStreamSink<?> sink(DataStream<RowData> input, ObjectIdentifier tablePath, ResolvedCatalogTable catalogTable, boolean isBouned) { + FactoryUtil.DefaultDynamicTableContext context = new FactoryUtil.DefaultDynamicTableContext(tablePath, catalogTable, + Configuration.fromMap(catalogTable.getOptions()), Thread.currentThread().getContextClassLoader(), false); + HoodieTableFactory hoodieTableFactory = new HoodieTableFactory(); + return ((DataStreamSinkProvider) hoodieTableFactory.createDynamicTableSink(context) + .getSinkRuntimeProvider(new SinkRuntimeProviderContext(isBouned))) + .consumeDataStream(input); + } + + /** + * low-level source api for read a hoodie table who described by options and schema as a datastream source + * @param execEnv The flink stream execute environment + * @param tablePath The tablePath to search a hoodie table in catalog + * @param catalogTable The catalog table to describe hoodie table schema + * @return the source data stream read from a hoodie table + */ + private static DataStream<RowData> source(StreamExecutionEnvironment execEnv, ObjectIdentifier tablePath, ResolvedCatalogTable catalogTable) { + FactoryUtil.DefaultDynamicTableContext context = new FactoryUtil.DefaultDynamicTableContext(tablePath, catalogTable, + Configuration.fromMap(catalogTable.getOptions()), Thread.currentThread().getContextClassLoader(), false); + HoodieTableFactory hoodieTableFactory = new HoodieTableFactory(); + DataStreamScanProvider dataStreamScanProvider = (DataStreamScanProvider) ((ScanTableSource) hoodieTableFactory + .createDynamicTableSource(context)) + .getScanRuntimeProvider(new ScanRuntimeProviderContext()); + return dataStreamScanProvider.produceDataStream(execEnv); + } + + /*** + * a table descriptor for tableId and resolvedCatalogTable. + */ Review Comment: A POJO that contains tableId and resolvedCatalogTable. -- This is an automated message from the Apache Git Service. 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