[GitHub] [hudi] danny0405 commented on a diff in pull request #5445: [HUDI-3953]Flink Hudi module should support low-level source and sink…
danny0405 commented on code in PR #5445:
URL: https://github.com/apache/hudi/pull/5445#discussion_r868790677
##
hudi-flink-datasource/hudi-flink/src/test/java/org/apache/hudi/sink/ITTestDataStreamWrite.java:
##
@@ -248,8 +221,129 @@ private void testWriteToHoodie(
// wait for the streaming job to finish
client.getJobExecutionResult().get();
}
+ }
-TestData.checkWrittenFullData(tempFile, expected);
+ public DataStream dataStreamGen(StreamExecutionEnvironment execEnv, boolean
isMor, RowType rowType, Option transformer, int checkpoints) {
+
+JsonRowDataDeserializationSchema deserializationSchema = new
JsonRowDataDeserializationSchema(
+rowType,
+InternalTypeInfo.of(rowType),
+false,
+true,
+TimestampFormat.ISO_8601
+);
+String sourcePath = Objects.requireNonNull(Thread.currentThread()
+
.getContextClassLoader().getResource("test_source.data")).toString();
+
+DataStream dataStream;
+if (isMor) {
+ TextInputFormat format = new TextInputFormat(new Path(sourcePath));
+ format.setFilesFilter(FilePathFilter.createDefaultFilter());
+ TypeInformation typeInfo = BasicTypeInfo.STRING_TYPE_INFO;
+ format.setCharsetName("UTF-8");
+
+ dataStream = execEnv
+ // use PROCESS_CONTINUOUSLY mode to trigger checkpoint
+ .readFile(format, sourcePath,
FileProcessingMode.PROCESS_CONTINUOUSLY, 1000, typeInfo)
+ .map(record ->
deserializationSchema.deserialize(record.getBytes(StandardCharsets.UTF_8)))
+ .setParallelism(1);
+} else {
+ dataStream = execEnv
+ // use continuous file source to trigger checkpoint
+ .addSource(new ContinuousFileSource.BoundedSourceFunction(new
Path(sourcePath), checkpoints))
+ .name("continuous_file_source")
+ .setParallelism(1)
+ .map(record ->
deserializationSchema.deserialize(record.getBytes(StandardCharsets.UTF_8)))
+ .setParallelism(4);
+}
+if (transformer.isPresent()) {
+ dataStream = transformer.get().apply(dataStream);
+}
+return dataStream;
+ }
+
+ @Test
+ public void testSource() throws Exception {
+//create a StreamExecutionEnvironment instance.
+StreamExecutionEnvironment execEnv =
StreamExecutionEnvironment.getExecutionEnvironment();
+execEnv.getConfig().disableObjectReuse();
+execEnv.setParallelism(1);
+// set up checkpoint interval
+execEnv.enableCheckpointing(4000, CheckpointingMode.EXACTLY_ONCE);
+execEnv.getCheckpointConfig().setMaxConcurrentCheckpoints(1);
+Configuration conf =
TestConfigurations.getDefaultConf(tempFile.getAbsolutePath());
+conf.setString(FlinkOptions.TABLE_NAME, "t1");
+conf.setString(FlinkOptions.TABLE_TYPE, "MERGE_ON_READ");
+
+// write 3 batches of data set
+TestData.writeData(TestData.dataSetInsert(1, 2), conf);
+TestData.writeData(TestData.dataSetInsert(3, 4), conf);
+TestData.writeData(TestData.dataSetInsert(5, 6), conf);
+
+String latestCommit =
TestUtils.getLastCompleteInstant(tempFile.getAbsolutePath());
+
+Map options = new HashMap<>();
+options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
+options.put(FlinkOptions.READ_START_COMMIT.key(), latestCommit);
+
+//read a hoodie table use low-level source api.
+HoodiePipeline.Builder builder = HoodiePipeline.builder("test_source")
+.column("uuid string not null")
+.column("name string")
+.column("age int")
+.column("`ts` timestamp(3)")
+.column("`partition` string")
+.pk("uuid")
+.partition("partition")
+.options(options);
+DataStream rowDataDataStream = builder.source(execEnv);
+List result = new ArrayList<>();
+rowDataDataStream.executeAndCollect().forEachRemaining(result::add);
+TimeUnit.SECONDS.sleep(2);//sleep 2 second for collect data
+assertRowDataEquals(result, TestData.dataSetInsert(5, 6));
+ }
+
+ @Test
+ public void testSink() throws Exception {
+StreamExecutionEnvironment execEnv =
StreamExecutionEnvironment.getExecutionEnvironment();
Review Comment:
`testPipelineBuilderSink()`
##
hudi-flink-datasource/hudi-flink/src/test/java/org/apache/hudi/sink/ITTestDataStreamWrite.java:
##
@@ -57,13 +59,16 @@
import java.io.File;
import java.nio.charset.StandardCharsets;
+import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.concurrent.TimeUnit;
+import static org.apache.hudi.utils.TestData.assertRowDataEquals;
+
Review Comment:
Can we avoid to import static methods and use `TestData.assertRowDataEquals`
directly ?
##
[GitHub] [hudi] danny0405 commented on a diff in pull request #5445: [HUDI-3953]Flink Hudi module should support low-level source and sink…
danny0405 commented on code in PR #5445:
URL: https://github.com/apache/hudi/pull/5445#discussion_r86940
##
hudi-flink-datasource/hudi-flink/src/main/java/org/apache/hudi/util/HoodiePipeline.java:
##
@@ -0,0 +1,259 @@
+/*
+ * 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.
+ *
+ * How to use ?
+ * Method {@link #builder(String)} returns a pipeline builder. The builder
+ * can then define the hudi table columns, primary keys and partitions.
+ *
+ * An example:
+ *
+ *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);
+ *
+ */
+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 columns;
+private final Map options;
+
+private String pk;
+private List partitions;
+
+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 this;
+}
+
+/**
+ * Add primary keys.
+ */
+public Builder pk(String... pks) {
+ this.pk = String.join(",", pks);
+ return this;
+}
+
+/**
+ * Add partition fields.
+ */
+public Builder partition(String... partitions) {
+ this.partitions = new ArrayList<>(Arrays.asList(partitions));
+ return this;
+}
+
+/**
+ * Add a config option.
+ */
+public Builder option(ConfigOption option, Object val) {
+ this.options.put(option.key(), val.toString());
+ return this;
+}
+
+public Builder option(String key, Object val) {
+ this.options.put(key, val.toString());
+ return this;
+}
+
+public Builder options(Map options) {
+ this.options.putAll(options);
+ return
[GitHub] [hudi] danny0405 commented on a diff in pull request #5445: [HUDI-3953]Flink Hudi module should support low-level source and sink…
danny0405 commented on code in PR #5445:
URL: https://github.com/apache/hudi/pull/5445#discussion_r86363
##
hudi-flink-datasource/hudi-flink/src/test/java/org/apache/hudi/sink/ITTestDataStreamWrite.java:
##
@@ -57,19 +59,22 @@
import java.io.File;
import java.nio.charset.StandardCharsets;
+import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.concurrent.TimeUnit;
+import static org.apache.hudi.utils.TestData.assertRowDataEquals;
+
/**
* Integration test for Flink Hoodie stream sink.
*/
public class ITTestDataStreamWrite extends TestLogger {
- private static final Map> EXPECTED = new HashMap<>();
+ public static final Map> EXPECTED = new HashMap<>();
private static final Map> EXPECTED_TRANSFORMER = new
HashMap<>();
Review Comment:
Why make the `EXPECTED` public ?
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[GitHub] [hudi] danny0405 commented on a diff in pull request #5445: [HUDI-3953]Flink Hudi module should support low-level source and sink…
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.
+ *
+ * How to use ?
+ * Method {@link #builder(String)} returns a pipeline builder. The builder
+ * can then define the hudi table columns, primary keys and partitions.
+ *
+ * An example:
+ *
+ *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);
+ *
+ */
+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 columns;
+private final Map options;
+
+private String pk;
+private List 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
[GitHub] [hudi] danny0405 commented on a diff in pull request #5445: [HUDI-3953]Flink Hudi module should support low-level source and sink…
danny0405 commented on code in PR #5445:
URL: https://github.com/apache/hudi/pull/5445#discussion_r865567582
##
hudi-flink-datasource/hudi-flink/src/test/java/org/apache/hudi/table/ITTestHoodieDataSource.java:
##
@@ -1217,6 +1234,42 @@ void testBuiltinFunctionWithCatalog(String operation) {
assertRowsEquals(partitionResult, "[+I[1, 2022-02-02]]");
}
+ @Test
+ public void testSource() throws Exception {
+
+Configuration conf =
TestConfigurations.getDefaultConf(tempFile.getAbsolutePath());
+conf.setString(FlinkOptions.TABLE_NAME, "t1");
+conf.setString(FlinkOptions.TABLE_TYPE, "MERGE_ON_READ");
+
+// write 3 batches of data set
+TestData.writeData(TestData.dataSetInsert(1, 2), conf);
+TestData.writeData(TestData.dataSetInsert(3, 4), conf);
+TestData.writeData(TestData.dataSetInsert(5, 6), conf);
+
+Map options = new HashMap<>();
+String latestCommit =
TestUtils.getLastCompleteInstant(tempFile.getAbsolutePath());
+
+options.clear();
Review Comment:
Can this test also be moved to `ITTestDataStreamWrite `?
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[GitHub] [hudi] danny0405 commented on a diff in pull request #5445: [HUDI-3953]Flink Hudi module should support low-level source and sink…
danny0405 commented on code in PR #5445:
URL: https://github.com/apache/hudi/pull/5445#discussion_r862272988
##
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.
+ *
+ * How to use ?
+ * Method {@link #builder(String)} returns a pipeline builder. The builder
+ * can then define the hudi table columns, primary keys and partitions.
+ *
+ * An example:
+ *
+ *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);
+ *
+ */
+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 columns;
Review Comment:
The builder is very similar to `TestConfigurations.Sql`, we can plan to
refactor the code.
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[GitHub] [hudi] danny0405 commented on a diff in pull request #5445: [HUDI-3953]Flink Hudi module should support low-level source and sink…
danny0405 commented on code in PR #5445:
URL: https://github.com/apache/hudi/pull/5445#discussion_r862272886
##
hudi-flink-datasource/hudi-flink/src/test/java/org/apache/hudi/sink/utils/ITTestHoodiePipeline.java:
##
@@ -0,0 +1,220 @@
+
+/*
+ * 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.sink.utils;
+
+import org.apache.hudi.common.model.HoodieTableType;
+import org.apache.hudi.configuration.FlinkOptions;
+import org.apache.hudi.util.AvroSchemaConverter;
+import org.apache.hudi.util.HoodiePipeline;
+import org.apache.hudi.util.StreamerUtil;
+import org.apache.hudi.utils.TestConfigurations;
+import org.apache.hudi.utils.TestData;
+import org.apache.hudi.utils.TestUtils;
+import org.apache.hudi.utils.source.ContinuousFileSource;
+
+import org.apache.flink.api.common.JobStatus;
+import org.apache.flink.api.common.io.FilePathFilter;
+import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.java.io.TextInputFormat;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.core.execution.JobClient;
+import org.apache.flink.core.fs.Path;
+import org.apache.flink.formats.common.TimestampFormat;
+import org.apache.flink.formats.json.JsonRowDataDeserializationSchema;
+import org.apache.flink.streaming.api.CheckpointingMode;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.functions.sink.SinkFunction;
+import org.apache.flink.streaming.api.functions.source.FileProcessingMode;
+import org.apache.flink.table.api.EnvironmentSettings;
+import org.apache.flink.table.api.TableEnvironment;
+import org.apache.flink.table.api.config.ExecutionConfigOptions;
+import org.apache.flink.table.api.internal.TableEnvironmentImpl;
+import org.apache.flink.table.data.RowData;
+import org.apache.flink.table.runtime.typeutils.InternalTypeInfo;
+import org.apache.flink.table.types.logical.RowType;
+import org.junit.jupiter.api.BeforeEach;
+import org.junit.jupiter.api.Test;
+import org.junit.jupiter.api.io.TempDir;
+
+import java.io.File;
+import java.nio.charset.StandardCharsets;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import java.util.concurrent.TimeUnit;
+
+import static org.apache.hudi.sink.ITTestDataStreamWrite.EXPECTED;
+import static org.apache.hudi.utils.TestData.assertRowDataEquals;
+
+/**
+ * IT test for test hoodie pipeline.
+ */
+public class ITTestHoodiePipeline {
+
+ public static final List RESULT = new ArrayList<>();
+ @TempDir
+ File tempFile;
+ private StreamExecutionEnvironment execEnv;
+ private boolean isMor;
+ private Map options = new HashMap<>();
+ private TableEnvironment streamTableEnv;
+
+ @BeforeEach
+ void beforEach() {
+this.execEnv = StreamExecutionEnvironment.getExecutionEnvironment();
+execEnv.getConfig().disableObjectReuse();
+execEnv.setParallelism(4);
+// set up checkpoint interval
+execEnv.enableCheckpointing(4000, CheckpointingMode.EXACTLY_ONCE);
+execEnv.getCheckpointConfig().setMaxConcurrentCheckpoints(1);
+
+options.put(FlinkOptions.INDEX_TYPE.key(), "FLINK_STATE");
+options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
+options.put(FlinkOptions.BUCKET_INDEX_NUM_BUCKETS.key(), "4");
+options.put("table.type", HoodieTableType.MERGE_ON_READ.name());
+options.put(FlinkOptions.INDEX_KEY_FIELD.key(), "id");
+options.put(FlinkOptions.COMPACTION_DELTA_COMMITS.key(), "1");
+options.put(FlinkOptions.TABLE_TYPE.key(),
HoodieTableType.MERGE_ON_READ.name());
+options.put(FlinkOptions.SOURCE_AVRO_SCHEMA_PATH.key(),
Objects.requireNonNull(Thread.currentThread().getContextClassLoader().getResource("test_read_schema.avsc")).toString());
+
+this.isMor =
options.get(FlinkOptions.TABLE_TYPE.key()).equals(HoodieTableType.MERGE_ON_READ.name());
+
+EnvironmentSettings settings = EnvironmentSettings.newInstance().build();
+streamTableEnv = TableEnvironmentImpl.create(settings);
+
