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Posted to issues@flink.apache.org by GitBox <gi...@apache.org> on 2022/03/02 12:05:17 UTC
[GitHub] [flink-ml] zhipeng93 commented on a change in pull request #67: [FLINK-26383] Create model stream sink demo
zhipeng93 commented on a change in pull request #67:
URL: https://github.com/apache/flink-ml/pull/67#discussion_r817616144
##########
File path: flink-ml-lib/src/test/java/org/apache/flink/ml/classification/OnlineModelSaveLoadTest.java
##########
@@ -0,0 +1,199 @@
+/*
+ * 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.flink.ml.classification;
+
+import org.apache.flink.api.common.eventtime.WatermarkStrategy;
+import org.apache.flink.api.common.restartstrategy.RestartStrategies;
+import org.apache.flink.api.common.serialization.Encoder;
+import org.apache.flink.api.connector.source.Source;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.connector.file.sink.FileSink;
+import org.apache.flink.connector.file.src.FileSource;
+import org.apache.flink.connector.file.src.reader.SimpleStreamFormat;
+import org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel;
+import org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData;
+import org.apache.flink.ml.linalg.DenseVector;
+import org.apache.flink.ml.linalg.Vectors;
+import org.apache.flink.ml.util.ReadWriteUtils;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.environment.ExecutionCheckpointingOptions;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.functions.sink.filesystem.bucketassigners.BasePathBucketAssigner;
+import org.apache.flink.streaming.api.functions.sink.filesystem.rollingpolicies.OnCheckpointRollingPolicy;
+import org.apache.flink.table.api.DataTypes;
+import org.apache.flink.table.api.Schema;
+import org.apache.flink.table.api.Table;
+import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
+import org.apache.flink.types.Row;
+
+import org.apache.commons.collections.IteratorUtils;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Rule;
+import org.junit.Test;
+import org.junit.rules.TemporaryFolder;
+
+import java.io.BufferedReader;
+import java.io.InputStreamReader;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+
+/** Tests online LogisticRegression model save and load. */
+public class OnlineModelSaveLoadTest {
+ @Rule public final TemporaryFolder tempFolder = new TemporaryFolder();
+ StreamTableEnvironment tEnv;
+ StreamExecutionEnvironment env;
+ Schema modelSchema = Schema.newBuilder().column("f0", DataTypes.of(DenseVector.class)).build();
+ Schema dataSchema =
+ Schema.newBuilder()
+ .column("f0", DataTypes.of(Double.class))
Review comment:
nits: How about we simplify the code as follows?
- remove those meaningless name of columns? (e.g., `f0`, `f1`)?
- move initialization of some variables to `before`?
##########
File path: flink-ml-lib/src/test/java/org/apache/flink/ml/classification/OnlineModelSaveLoadTest.java
##########
@@ -0,0 +1,199 @@
+/*
+ * 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.flink.ml.classification;
+
+import org.apache.flink.api.common.eventtime.WatermarkStrategy;
+import org.apache.flink.api.common.restartstrategy.RestartStrategies;
+import org.apache.flink.api.common.serialization.Encoder;
+import org.apache.flink.api.connector.source.Source;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.connector.file.sink.FileSink;
+import org.apache.flink.connector.file.src.FileSource;
+import org.apache.flink.connector.file.src.reader.SimpleStreamFormat;
+import org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel;
+import org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData;
+import org.apache.flink.ml.linalg.DenseVector;
+import org.apache.flink.ml.linalg.Vectors;
+import org.apache.flink.ml.util.ReadWriteUtils;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.environment.ExecutionCheckpointingOptions;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.functions.sink.filesystem.bucketassigners.BasePathBucketAssigner;
+import org.apache.flink.streaming.api.functions.sink.filesystem.rollingpolicies.OnCheckpointRollingPolicy;
+import org.apache.flink.table.api.DataTypes;
+import org.apache.flink.table.api.Schema;
+import org.apache.flink.table.api.Table;
+import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
+import org.apache.flink.types.Row;
+
+import org.apache.commons.collections.IteratorUtils;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Rule;
+import org.junit.Test;
+import org.junit.rules.TemporaryFolder;
+
+import java.io.BufferedReader;
+import java.io.InputStreamReader;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+
+/** Tests online LogisticRegression model save and load. */
+public class OnlineModelSaveLoadTest {
+ @Rule public final TemporaryFolder tempFolder = new TemporaryFolder();
+ StreamTableEnvironment tEnv;
+ StreamExecutionEnvironment env;
+ Schema modelSchema = Schema.newBuilder().column("f0", DataTypes.of(DenseVector.class)).build();
+ Schema dataSchema =
+ Schema.newBuilder()
+ .column("f0", DataTypes.of(Double.class))
+ .column("f1", DataTypes.of(DenseVector.class))
+ .build();
+
+ private static final List<Row> modelData =
+ new ArrayList<>(
+ Arrays.asList(
+ Row.of(Vectors.dense(2.0, 4.5, 3.0)),
+ Row.of(Vectors.dense(2.1, 4.6, 3.1)),
+ Row.of(Vectors.dense(20.1, 5.6, 3.1)),
+ Row.of(Vectors.dense(2.1, 4.7, 3.1))));
+
+ private static final List<Row> validData =
+ new ArrayList<>(
Review comment:
Can we remove the `valid data` here? It seems to be uncessary for testing load/save.
##########
File path: flink-ml-lib/src/test/java/org/apache/flink/ml/classification/OnlineModelSaveLoadTest.java
##########
@@ -0,0 +1,199 @@
+/*
+ * 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.flink.ml.classification;
+
+import org.apache.flink.api.common.eventtime.WatermarkStrategy;
+import org.apache.flink.api.common.restartstrategy.RestartStrategies;
+import org.apache.flink.api.common.serialization.Encoder;
+import org.apache.flink.api.connector.source.Source;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.connector.file.sink.FileSink;
+import org.apache.flink.connector.file.src.FileSource;
+import org.apache.flink.connector.file.src.reader.SimpleStreamFormat;
+import org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel;
+import org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData;
+import org.apache.flink.ml.linalg.DenseVector;
+import org.apache.flink.ml.linalg.Vectors;
+import org.apache.flink.ml.util.ReadWriteUtils;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.environment.ExecutionCheckpointingOptions;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.functions.sink.filesystem.bucketassigners.BasePathBucketAssigner;
+import org.apache.flink.streaming.api.functions.sink.filesystem.rollingpolicies.OnCheckpointRollingPolicy;
+import org.apache.flink.table.api.DataTypes;
+import org.apache.flink.table.api.Schema;
+import org.apache.flink.table.api.Table;
+import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
+import org.apache.flink.types.Row;
+
+import org.apache.commons.collections.IteratorUtils;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Rule;
+import org.junit.Test;
+import org.junit.rules.TemporaryFolder;
+
+import java.io.BufferedReader;
+import java.io.InputStreamReader;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+
+/** Tests online LogisticRegression model save and load. */
+public class OnlineModelSaveLoadTest {
+ @Rule public final TemporaryFolder tempFolder = new TemporaryFolder();
+ StreamTableEnvironment tEnv;
+ StreamExecutionEnvironment env;
+ Schema modelSchema = Schema.newBuilder().column("f0", DataTypes.of(DenseVector.class)).build();
+ Schema dataSchema =
+ Schema.newBuilder()
+ .column("f0", DataTypes.of(Double.class))
+ .column("f1", DataTypes.of(DenseVector.class))
+ .build();
+
+ private static final List<Row> modelData =
+ new ArrayList<>(
+ Arrays.asList(
+ Row.of(Vectors.dense(2.0, 4.5, 3.0)),
+ Row.of(Vectors.dense(2.1, 4.6, 3.1)),
+ Row.of(Vectors.dense(20.1, 5.6, 3.1)),
+ Row.of(Vectors.dense(2.1, 4.7, 3.1))));
+
+ private static final List<Row> validData =
+ new ArrayList<>(
+ Arrays.asList(
+ Row.of(1.0, Vectors.dense(1.0, 3.5, -4.0)),
+ Row.of(0.0, Vectors.dense(1.1, -8.6, 3.3))));
+
+ @Before
+ public void before() {
+ Configuration config = new Configuration();
+ config.set(ExecutionCheckpointingOptions.ENABLE_CHECKPOINTS_AFTER_TASKS_FINISH, true);
+ env = StreamExecutionEnvironment.getExecutionEnvironment(config);
+ env.enableCheckpointing(100);
+ env.setRestartStrategy(RestartStrategies.noRestart());
+ tEnv = StreamTableEnvironment.create(env);
+ env.setParallelism(1);
+ }
+
+ @Test
+ public void saveAndLoadEverySingleModelAndValidate() throws Exception {
Review comment:
Can you simplify this test, given that we want to test loading a single model?
##########
File path: flink-ml-lib/src/test/java/org/apache/flink/ml/classification/OnlineModelSaveLoadTest.java
##########
@@ -0,0 +1,199 @@
+/*
+ * 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.flink.ml.classification;
+
+import org.apache.flink.api.common.eventtime.WatermarkStrategy;
+import org.apache.flink.api.common.restartstrategy.RestartStrategies;
+import org.apache.flink.api.common.serialization.Encoder;
+import org.apache.flink.api.connector.source.Source;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.connector.file.sink.FileSink;
+import org.apache.flink.connector.file.src.FileSource;
+import org.apache.flink.connector.file.src.reader.SimpleStreamFormat;
+import org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel;
+import org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData;
+import org.apache.flink.ml.linalg.DenseVector;
+import org.apache.flink.ml.linalg.Vectors;
+import org.apache.flink.ml.util.ReadWriteUtils;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.environment.ExecutionCheckpointingOptions;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.functions.sink.filesystem.bucketassigners.BasePathBucketAssigner;
+import org.apache.flink.streaming.api.functions.sink.filesystem.rollingpolicies.OnCheckpointRollingPolicy;
+import org.apache.flink.table.api.DataTypes;
+import org.apache.flink.table.api.Schema;
+import org.apache.flink.table.api.Table;
+import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
+import org.apache.flink.types.Row;
+
+import org.apache.commons.collections.IteratorUtils;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Rule;
+import org.junit.Test;
+import org.junit.rules.TemporaryFolder;
+
+import java.io.BufferedReader;
+import java.io.InputStreamReader;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+
+/** Tests online LogisticRegression model save and load. */
+public class OnlineModelSaveLoadTest {
+ @Rule public final TemporaryFolder tempFolder = new TemporaryFolder();
+ StreamTableEnvironment tEnv;
+ StreamExecutionEnvironment env;
+ Schema modelSchema = Schema.newBuilder().column("f0", DataTypes.of(DenseVector.class)).build();
+ Schema dataSchema =
+ Schema.newBuilder()
+ .column("f0", DataTypes.of(Double.class))
+ .column("f1", DataTypes.of(DenseVector.class))
+ .build();
+
+ private static final List<Row> modelData =
+ new ArrayList<>(
+ Arrays.asList(
+ Row.of(Vectors.dense(2.0, 4.5, 3.0)),
+ Row.of(Vectors.dense(2.1, 4.6, 3.1)),
+ Row.of(Vectors.dense(20.1, 5.6, 3.1)),
+ Row.of(Vectors.dense(2.1, 4.7, 3.1))));
+
+ private static final List<Row> validData =
+ new ArrayList<>(
+ Arrays.asList(
+ Row.of(1.0, Vectors.dense(1.0, 3.5, -4.0)),
+ Row.of(0.0, Vectors.dense(1.1, -8.6, 3.3))));
+
+ @Before
+ public void before() {
+ Configuration config = new Configuration();
+ config.set(ExecutionCheckpointingOptions.ENABLE_CHECKPOINTS_AFTER_TASKS_FINISH, true);
+ env = StreamExecutionEnvironment.getExecutionEnvironment(config);
+ env.enableCheckpointing(100);
+ env.setRestartStrategy(RestartStrategies.noRestart());
+ tEnv = StreamTableEnvironment.create(env);
+ env.setParallelism(1);
+ }
+
+ @Test
+ public void saveAndLoadEverySingleModelAndValidate() throws Exception {
+ String tmpPath = saveOnlineModel();
+ /* Constructs validated data table. */
+ Table validDataTable =
+ tEnv.fromDataStream(env.fromCollection(validData), dataSchema).as("label, vec");
+
+ Process proc = Runtime.getRuntime().exec("ls " + tmpPath + "/data");
+ BufferedReader bufferedReader =
+ new BufferedReader(new InputStreamReader(proc.getInputStream()));
+
+ /* Loads every LogisticRegression model in model path and validates it. */
+ String modelVersion;
+ while ((modelVersion = bufferedReader.readLine()) != null) {
+ LogisticRegressionModel lrModel = new LogisticRegressionModel().setFeaturesCol("vec");
+ if (!"metadata".equals(modelVersion)) {
+ System.out.println(modelVersion);
Review comment:
nit: We do not print stuff in tests.
##########
File path: flink-ml-lib/src/test/java/org/apache/flink/ml/classification/OnlineModelSaveLoadTest.java
##########
@@ -0,0 +1,199 @@
+/*
+ * 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.flink.ml.classification;
+
+import org.apache.flink.api.common.eventtime.WatermarkStrategy;
+import org.apache.flink.api.common.restartstrategy.RestartStrategies;
+import org.apache.flink.api.common.serialization.Encoder;
+import org.apache.flink.api.connector.source.Source;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.connector.file.sink.FileSink;
+import org.apache.flink.connector.file.src.FileSource;
+import org.apache.flink.connector.file.src.reader.SimpleStreamFormat;
+import org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel;
+import org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData;
+import org.apache.flink.ml.linalg.DenseVector;
+import org.apache.flink.ml.linalg.Vectors;
+import org.apache.flink.ml.util.ReadWriteUtils;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.environment.ExecutionCheckpointingOptions;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.functions.sink.filesystem.bucketassigners.BasePathBucketAssigner;
+import org.apache.flink.streaming.api.functions.sink.filesystem.rollingpolicies.OnCheckpointRollingPolicy;
+import org.apache.flink.table.api.DataTypes;
+import org.apache.flink.table.api.Schema;
+import org.apache.flink.table.api.Table;
+import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
+import org.apache.flink.types.Row;
+
+import org.apache.commons.collections.IteratorUtils;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Rule;
+import org.junit.Test;
+import org.junit.rules.TemporaryFolder;
+
+import java.io.BufferedReader;
+import java.io.InputStreamReader;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+
+/** Tests online LogisticRegression model save and load. */
+public class OnlineModelSaveLoadTest {
+ @Rule public final TemporaryFolder tempFolder = new TemporaryFolder();
+ StreamTableEnvironment tEnv;
+ StreamExecutionEnvironment env;
+ Schema modelSchema = Schema.newBuilder().column("f0", DataTypes.of(DenseVector.class)).build();
+ Schema dataSchema =
+ Schema.newBuilder()
+ .column("f0", DataTypes.of(Double.class))
+ .column("f1", DataTypes.of(DenseVector.class))
+ .build();
+
+ private static final List<Row> modelData =
+ new ArrayList<>(
+ Arrays.asList(
+ Row.of(Vectors.dense(2.0, 4.5, 3.0)),
+ Row.of(Vectors.dense(2.1, 4.6, 3.1)),
+ Row.of(Vectors.dense(20.1, 5.6, 3.1)),
+ Row.of(Vectors.dense(2.1, 4.7, 3.1))));
+
+ private static final List<Row> validData =
+ new ArrayList<>(
+ Arrays.asList(
+ Row.of(1.0, Vectors.dense(1.0, 3.5, -4.0)),
+ Row.of(0.0, Vectors.dense(1.1, -8.6, 3.3))));
+
+ @Before
+ public void before() {
+ Configuration config = new Configuration();
+ config.set(ExecutionCheckpointingOptions.ENABLE_CHECKPOINTS_AFTER_TASKS_FINISH, true);
+ env = StreamExecutionEnvironment.getExecutionEnvironment(config);
+ env.enableCheckpointing(100);
+ env.setRestartStrategy(RestartStrategies.noRestart());
+ tEnv = StreamTableEnvironment.create(env);
+ env.setParallelism(1);
+ }
+
+ @Test
+ public void saveAndLoadEverySingleModelAndValidate() throws Exception {
+ String tmpPath = saveOnlineModel();
+ /* Constructs validated data table. */
+ Table validDataTable =
+ tEnv.fromDataStream(env.fromCollection(validData), dataSchema).as("label, vec");
+
+ Process proc = Runtime.getRuntime().exec("ls " + tmpPath + "/data");
+ BufferedReader bufferedReader =
+ new BufferedReader(new InputStreamReader(proc.getInputStream()));
+
+ /* Loads every LogisticRegression model in model path and validates it. */
+ String modelVersion;
+ while ((modelVersion = bufferedReader.readLine()) != null) {
+ LogisticRegressionModel lrModel = new LogisticRegressionModel().setFeaturesCol("vec");
+ if (!"metadata".equals(modelVersion)) {
+ System.out.println(modelVersion);
+ Table modelData =
+ tEnv.fromDataStream(
+ loadModelData(
+ env,
+ tmpPath,
+ new LogisticRegressionModelData.ModelDataDecoder(),
+ modelVersion))
+ .as("label, vec");
+ lrModel.setModelData(modelData);
+ Table out = lrModel.transform(validDataTable)[0];
+ List<Row> result = IteratorUtils.toList(tEnv.toDataStream(out).executeAndCollect());
+ for (Row row : result) {
+ Assert.assertEquals(row.getField(0), row.getField(2));
+ }
+ }
+ }
+ }
+
+ @Test
+ public void saveAndLoadAllOnlineModels() throws Exception {
Review comment:
Is `testSaveAndLoadOnlineModel` a better function name?
##########
File path: flink-ml-lib/src/test/java/org/apache/flink/ml/classification/OnlineModelSaveLoadTest.java
##########
@@ -0,0 +1,199 @@
+/*
+ * 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.flink.ml.classification;
+
+import org.apache.flink.api.common.eventtime.WatermarkStrategy;
+import org.apache.flink.api.common.restartstrategy.RestartStrategies;
+import org.apache.flink.api.common.serialization.Encoder;
+import org.apache.flink.api.connector.source.Source;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.connector.file.sink.FileSink;
+import org.apache.flink.connector.file.src.FileSource;
+import org.apache.flink.connector.file.src.reader.SimpleStreamFormat;
+import org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel;
+import org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData;
+import org.apache.flink.ml.linalg.DenseVector;
+import org.apache.flink.ml.linalg.Vectors;
+import org.apache.flink.ml.util.ReadWriteUtils;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.environment.ExecutionCheckpointingOptions;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.functions.sink.filesystem.bucketassigners.BasePathBucketAssigner;
+import org.apache.flink.streaming.api.functions.sink.filesystem.rollingpolicies.OnCheckpointRollingPolicy;
+import org.apache.flink.table.api.DataTypes;
+import org.apache.flink.table.api.Schema;
+import org.apache.flink.table.api.Table;
+import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
+import org.apache.flink.types.Row;
+
+import org.apache.commons.collections.IteratorUtils;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Rule;
+import org.junit.Test;
+import org.junit.rules.TemporaryFolder;
+
+import java.io.BufferedReader;
+import java.io.InputStreamReader;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+
+/** Tests online LogisticRegression model save and load. */
+public class OnlineModelSaveLoadTest {
+ @Rule public final TemporaryFolder tempFolder = new TemporaryFolder();
+ StreamTableEnvironment tEnv;
+ StreamExecutionEnvironment env;
+ Schema modelSchema = Schema.newBuilder().column("f0", DataTypes.of(DenseVector.class)).build();
+ Schema dataSchema =
+ Schema.newBuilder()
+ .column("f0", DataTypes.of(Double.class))
+ .column("f1", DataTypes.of(DenseVector.class))
+ .build();
+
+ private static final List<Row> modelData =
+ new ArrayList<>(
+ Arrays.asList(
+ Row.of(Vectors.dense(2.0, 4.5, 3.0)),
+ Row.of(Vectors.dense(2.1, 4.6, 3.1)),
+ Row.of(Vectors.dense(20.1, 5.6, 3.1)),
+ Row.of(Vectors.dense(2.1, 4.7, 3.1))));
+
+ private static final List<Row> validData =
+ new ArrayList<>(
+ Arrays.asList(
+ Row.of(1.0, Vectors.dense(1.0, 3.5, -4.0)),
+ Row.of(0.0, Vectors.dense(1.1, -8.6, 3.3))));
+
+ @Before
+ public void before() {
+ Configuration config = new Configuration();
+ config.set(ExecutionCheckpointingOptions.ENABLE_CHECKPOINTS_AFTER_TASKS_FINISH, true);
+ env = StreamExecutionEnvironment.getExecutionEnvironment(config);
+ env.enableCheckpointing(100);
+ env.setRestartStrategy(RestartStrategies.noRestart());
+ tEnv = StreamTableEnvironment.create(env);
+ env.setParallelism(1);
+ }
+
+ @Test
+ public void saveAndLoadEverySingleModelAndValidate() throws Exception {
+ String tmpPath = saveOnlineModel();
+ /* Constructs validated data table. */
+ Table validDataTable =
+ tEnv.fromDataStream(env.fromCollection(validData), dataSchema).as("label, vec");
+
+ Process proc = Runtime.getRuntime().exec("ls " + tmpPath + "/data");
+ BufferedReader bufferedReader =
+ new BufferedReader(new InputStreamReader(proc.getInputStream()));
+
+ /* Loads every LogisticRegression model in model path and validates it. */
+ String modelVersion;
+ while ((modelVersion = bufferedReader.readLine()) != null) {
+ LogisticRegressionModel lrModel = new LogisticRegressionModel().setFeaturesCol("vec");
Review comment:
`featuresCol` should be loaded from `metadata`.
##########
File path: flink-ml-lib/src/test/java/org/apache/flink/ml/classification/OnlineModelSaveLoadTest.java
##########
@@ -0,0 +1,199 @@
+/*
+ * 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.flink.ml.classification;
+
+import org.apache.flink.api.common.eventtime.WatermarkStrategy;
+import org.apache.flink.api.common.restartstrategy.RestartStrategies;
+import org.apache.flink.api.common.serialization.Encoder;
+import org.apache.flink.api.connector.source.Source;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.connector.file.sink.FileSink;
+import org.apache.flink.connector.file.src.FileSource;
+import org.apache.flink.connector.file.src.reader.SimpleStreamFormat;
+import org.apache.flink.ml.classification.logisticregression.LogisticRegressionModel;
+import org.apache.flink.ml.classification.logisticregression.LogisticRegressionModelData;
+import org.apache.flink.ml.linalg.DenseVector;
+import org.apache.flink.ml.linalg.Vectors;
+import org.apache.flink.ml.util.ReadWriteUtils;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.streaming.api.environment.ExecutionCheckpointingOptions;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.functions.sink.filesystem.bucketassigners.BasePathBucketAssigner;
+import org.apache.flink.streaming.api.functions.sink.filesystem.rollingpolicies.OnCheckpointRollingPolicy;
+import org.apache.flink.table.api.DataTypes;
+import org.apache.flink.table.api.Schema;
+import org.apache.flink.table.api.Table;
+import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
+import org.apache.flink.types.Row;
+
+import org.apache.commons.collections.IteratorUtils;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Rule;
+import org.junit.Test;
+import org.junit.rules.TemporaryFolder;
+
+import java.io.BufferedReader;
+import java.io.InputStreamReader;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+
+/** Tests online LogisticRegression model save and load. */
+public class OnlineModelSaveLoadTest {
+ @Rule public final TemporaryFolder tempFolder = new TemporaryFolder();
+ StreamTableEnvironment tEnv;
+ StreamExecutionEnvironment env;
+ Schema modelSchema = Schema.newBuilder().column("f0", DataTypes.of(DenseVector.class)).build();
+ Schema dataSchema =
+ Schema.newBuilder()
+ .column("f0", DataTypes.of(Double.class))
+ .column("f1", DataTypes.of(DenseVector.class))
+ .build();
+
+ private static final List<Row> modelData =
+ new ArrayList<>(
+ Arrays.asList(
+ Row.of(Vectors.dense(2.0, 4.5, 3.0)),
+ Row.of(Vectors.dense(2.1, 4.6, 3.1)),
+ Row.of(Vectors.dense(20.1, 5.6, 3.1)),
+ Row.of(Vectors.dense(2.1, 4.7, 3.1))));
+
+ private static final List<Row> validData =
+ new ArrayList<>(
+ Arrays.asList(
+ Row.of(1.0, Vectors.dense(1.0, 3.5, -4.0)),
+ Row.of(0.0, Vectors.dense(1.1, -8.6, 3.3))));
+
+ @Before
+ public void before() {
+ Configuration config = new Configuration();
+ config.set(ExecutionCheckpointingOptions.ENABLE_CHECKPOINTS_AFTER_TASKS_FINISH, true);
+ env = StreamExecutionEnvironment.getExecutionEnvironment(config);
+ env.enableCheckpointing(100);
+ env.setRestartStrategy(RestartStrategies.noRestart());
+ tEnv = StreamTableEnvironment.create(env);
+ env.setParallelism(1);
+ }
+
+ @Test
+ public void saveAndLoadEverySingleModelAndValidate() throws Exception {
+ String tmpPath = saveOnlineModel();
+ /* Constructs validated data table. */
+ Table validDataTable =
+ tEnv.fromDataStream(env.fromCollection(validData), dataSchema).as("label, vec");
+
+ Process proc = Runtime.getRuntime().exec("ls " + tmpPath + "/data");
+ BufferedReader bufferedReader =
+ new BufferedReader(new InputStreamReader(proc.getInputStream()));
+
+ /* Loads every LogisticRegression model in model path and validates it. */
+ String modelVersion;
+ while ((modelVersion = bufferedReader.readLine()) != null) {
+ LogisticRegressionModel lrModel = new LogisticRegressionModel().setFeaturesCol("vec");
+ if (!"metadata".equals(modelVersion)) {
+ System.out.println(modelVersion);
+ Table modelData =
+ tEnv.fromDataStream(
+ loadModelData(
+ env,
+ tmpPath,
+ new LogisticRegressionModelData.ModelDataDecoder(),
+ modelVersion))
+ .as("label, vec");
+ lrModel.setModelData(modelData);
+ Table out = lrModel.transform(validDataTable)[0];
+ List<Row> result = IteratorUtils.toList(tEnv.toDataStream(out).executeAndCollect());
+ for (Row row : result) {
+ Assert.assertEquals(row.getField(0), row.getField(2));
+ }
+ }
+ }
+ }
+
+ @Test
+ public void saveAndLoadAllOnlineModels() throws Exception {
+ String tmpPath = saveOnlineModel();
+ Table modelData =
+ tEnv.fromDataStream(
+ ReadWriteUtils.loadModelData(
+ env,
+ tmpPath,
+ new LogisticRegressionModelData.ModelDataDecoder()))
+ .as("label, vec");
+
+ List<Row> result = IteratorUtils.toList(tEnv.toDataStream(modelData).executeAndCollect());
+ Assert.assertEquals(result.size(), 4);
Review comment:
Can you further check the elements in each model data?
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