vinishjail97 commented on code in PR #704:
URL: https://github.com/apache/incubator-xtable/pull/704#discussion_r2080321285


##########
xtable-service/src/main/java/org/apache/xtable/service/ConversionService.java:
##########
@@ -0,0 +1,156 @@
+/*
+ * 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.xtable.service;
+
+import static org.apache.xtable.model.storage.TableFormat.DELTA;
+import static org.apache.xtable.model.storage.TableFormat.HUDI;
+import static org.apache.xtable.model.storage.TableFormat.ICEBERG;
+
+import java.util.ArrayList;
+import java.util.List;
+
+import org.apache.commons.lang3.tuple.Pair;
+
+import com.google.common.annotations.VisibleForTesting;
+
+import org.apache.xtable.conversion.ConversionConfig;
+import org.apache.xtable.conversion.ConversionController;
+import org.apache.xtable.conversion.ConversionSourceProvider;
+import org.apache.xtable.conversion.SourceTable;
+import org.apache.xtable.conversion.TargetTable;
+import org.apache.xtable.service.models.ConvertTableRequest;
+import org.apache.xtable.service.models.ConvertTableResponse;
+import org.apache.xtable.service.models.ConvertedTable;
+import org.apache.xtable.service.spark.SparkHolder;
+import org.apache.xtable.service.utils.ConversionServiceUtil;
+
+import jakarta.enterprise.context.ApplicationScoped;
+import jakarta.inject.Inject;
+
+/**
+ * Service for managing table format conversions.
+ *
+ * <p>It supports formats such as ICEBERG, HUDI, and DELTA. The conversion 
process involves creating
+ * a source table, generating target tables, and then executing the conversion 
via a designated
+ * conversion controller.
+ */
+@ApplicationScoped
+public class ConversionService {
+  private final SparkHolder sparkHolder;
+  private final ConversionController conversionController;
+  private final ConversionServiceUtil conversionServiceUtil;
+
+  /**
+   * Constructs a ConversionService instance with required dependencies.
+   *
+   * @param sparkHolder the Spark holder instance containing the Spark context 
and configuration
+   * @param conversionServiceUtil utility for handling metadata operations
+   */
+  @Inject
+  public ConversionService(SparkHolder sparkHolder, ConversionServiceUtil 
conversionServiceUtil) {
+    this.sparkHolder = sparkHolder;
+    this.conversionServiceUtil = conversionServiceUtil;
+    this.conversionController = new 
ConversionController(sparkHolder.jsc().hadoopConfiguration());
+  }
+
+  /**
+   * Constructs a ConversionService instance using dependency injection for 
testing.
+   *
+   * @param sparkHolder the Spark holder instance
+   * @param conversionController a preconfigured conversion controller
+   * @param conversionServiceUtil utility for handling metadata operations
+   */
+  @VisibleForTesting
+  public ConversionService(
+      SparkHolder sparkHolder,
+      ConversionServiceUtil conversionServiceUtil,
+      ConversionController conversionController) {
+    this.sparkHolder = sparkHolder;
+    this.conversionController = conversionController;
+    this.conversionServiceUtil = conversionServiceUtil;
+  }
+
+  /**
+   * Converts a source table to one or more target table formats.
+   *
+   * <p>The method builds a SourceTable based on the request parameters and 
constructs corresponding
+   * TargetTable instances for each target format. It then performs a 
synchronous conversion through
+   * the conversion controller. After conversion, it retrieves schema and 
metadata paths for each
+   * target table.
+   *
+   * @param convertTableRequest the conversion request containing source table 
details and target
+   *     formats
+   * @return a response containing details of converted target tables
+   */
+  public ConvertTableResponse convertTable(ConvertTableRequest 
convertTableRequest) {
+    SourceTable sourceTable =
+        SourceTable.builder()
+            .name(convertTableRequest.getSourceTableName())
+            .basePath(convertTableRequest.getSourceTablePath())
+            .formatName(convertTableRequest.getSourceFormat())
+            .build();
+
+    List<TargetTable> targetTables = new ArrayList<>();
+    for (String targetFormat : convertTableRequest.getTargetFormats()) {
+      TargetTable targetTable =
+          TargetTable.builder()
+              .name(convertTableRequest.getSourceTableName())
+              .basePath(convertTableRequest.getSourceTablePath())
+              .formatName(targetFormat)
+              .build();
+      targetTables.add(targetTable);
+    }
+
+    ConversionConfig conversionConfig =
+        
ConversionConfig.builder().sourceTable(sourceTable).targetTables(targetTables).build();
+
+    ConversionSourceProvider<?> conversionSourceProvider =
+        conversionServiceUtil.getConversionSourceProvider(
+            convertTableRequest.getSourceFormat(), 
sparkHolder.jsc().hadoopConfiguration());
+
+    conversionController.sync(conversionConfig, conversionSourceProvider);
+
+    List<ConvertedTable> restTargetTables = new ArrayList<>();
+    for (String targetFormat : convertTableRequest.getTargetFormats()) {
+      if (targetFormat.equals(ICEBERG)) {
+        Pair<String, String> responseFields =
+            conversionServiceUtil.getIcebergSchemaAndMetadataPath(
+                convertTableRequest.getSourceTablePath(), 
sparkHolder.jsc().hadoopConfiguration());
+        ConvertedTable icebergTable =
+            new ConvertedTable(ICEBERG, responseFields.getLeft(), 
responseFields.getRight());
+        restTargetTables.add(icebergTable);
+      } else if (targetFormat.equals(HUDI)) {
+        Pair<String, String> responseFields =
+            conversionServiceUtil.getHudiSchemaAndMetadataPath(
+                convertTableRequest.getSourceTablePath(), 
sparkHolder.jsc().hadoopConfiguration());
+        ConvertedTable hudiTable =
+            new ConvertedTable(HUDI, responseFields.getLeft(), 
responseFields.getRight());
+        restTargetTables.add(hudiTable);
+      } else if (targetFormat.equals(DELTA)) {
+        Pair<String, String> responseFields =
+            conversionServiceUtil.getDeltaSchemaAndMetadataPath(
+                convertTableRequest.getSourceTablePath(), sparkHolder.spark());
+        ConvertedTable deltaTable =
+            new ConvertedTable(DELTA, responseFields.getLeft(), 
responseFields.getRight());
+        restTargetTables.add(deltaTable);
+      }

Review Comment:
   See if we can use the getCurrentTable() method to avoid this code block. 
   
https://github.com/apache/incubator-xtable/blob/main/xtable-core/src/main/java/org/apache/xtable/conversion/ConversionController.java#L239
 



##########
xtable-service/src/main/java/org/apache/xtable/service/spark/SparkHolder.java:
##########
@@ -0,0 +1,114 @@
+/*
+ * 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.xtable.service.spark;
+
+import static 
org.apache.xtable.service.ConversionServiceConfig.HADOOP_DEFAULTS_XML;
+
+import java.io.InputStream;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.serializer.KryoSerializer;
+import org.apache.spark.sql.SparkSession;
+
+import org.apache.xtable.service.ConversionServiceConfig;
+
+import io.quarkus.runtime.ShutdownEvent;
+import jakarta.enterprise.context.ApplicationScoped;
+import jakarta.enterprise.event.Observes;
+import jakarta.inject.Inject;
+
+@ApplicationScoped
+public class SparkHolder {
+
+  private volatile SparkSession spark;
+  private volatile JavaSparkContext jsc;
+
+  @Inject private ConversionServiceConfig conversionServiceConfig;
+
+  public SparkSession spark() {
+    if (spark == null) {
+      synchronized (this) {
+        if (spark == null) {
+          spark =
+              SparkSession.builder()
+                  .config(getSparkConf())
+                  .appName("xtable-conversion-service")
+                  .getOrCreate();
+          jsc = JavaSparkContext.fromSparkContext(spark.sparkContext());
+
+          // Load user-provided Hadoop XML file if available, otherwise load 
the default
+          try (InputStream configStream =
+              
!conversionServiceConfig.getHadoopConfigPath().equals(HADOOP_DEFAULTS_XML)
+                  ? 
Files.newInputStream(Paths.get(conversionServiceConfig.getHadoopConfigPath()))
+                  : 
SparkHolder.class.getClassLoader().getResourceAsStream(HADOOP_DEFAULTS_XML)) {
+            if (configStream != null) {
+              
spark.sparkContext().hadoopConfiguration().addResource(configStream);
+            } else {
+              throw new RuntimeException("Failed to load Hadoop configuration 
file");
+            }
+          } catch (Exception e) {
+            throw new RuntimeException("Error loading Hadoop configuration 
file", e);
+          }
+        }
+      }
+    }
+    return spark;
+  }
+
+  public JavaSparkContext jsc() {

Review Comment:
   Where do we use this? We can get this from the spark session already? 



##########
xtable-service/src/main/java/org/apache/xtable/service/ConversionService.java:
##########
@@ -0,0 +1,156 @@
+/*
+ * 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.xtable.service;
+
+import static org.apache.xtable.model.storage.TableFormat.DELTA;
+import static org.apache.xtable.model.storage.TableFormat.HUDI;
+import static org.apache.xtable.model.storage.TableFormat.ICEBERG;
+
+import java.util.ArrayList;
+import java.util.List;
+
+import org.apache.commons.lang3.tuple.Pair;
+
+import com.google.common.annotations.VisibleForTesting;
+
+import org.apache.xtable.conversion.ConversionConfig;
+import org.apache.xtable.conversion.ConversionController;
+import org.apache.xtable.conversion.ConversionSourceProvider;
+import org.apache.xtable.conversion.SourceTable;
+import org.apache.xtable.conversion.TargetTable;
+import org.apache.xtable.service.models.ConvertTableRequest;
+import org.apache.xtable.service.models.ConvertTableResponse;
+import org.apache.xtable.service.models.ConvertedTable;
+import org.apache.xtable.service.spark.SparkHolder;
+import org.apache.xtable.service.utils.ConversionServiceUtil;
+
+import jakarta.enterprise.context.ApplicationScoped;
+import jakarta.inject.Inject;
+
+/**
+ * Service for managing table format conversions.
+ *
+ * <p>It supports formats such as ICEBERG, HUDI, and DELTA. The conversion 
process involves creating
+ * a source table, generating target tables, and then executing the conversion 
via a designated
+ * conversion controller.
+ */
+@ApplicationScoped
+public class ConversionService {
+  private final SparkHolder sparkHolder;
+  private final ConversionController conversionController;
+  private final ConversionServiceUtil conversionServiceUtil;
+
+  /**
+   * Constructs a ConversionService instance with required dependencies.
+   *
+   * @param sparkHolder the Spark holder instance containing the Spark context 
and configuration
+   * @param conversionServiceUtil utility for handling metadata operations
+   */
+  @Inject
+  public ConversionService(SparkHolder sparkHolder, ConversionServiceUtil 
conversionServiceUtil) {
+    this.sparkHolder = sparkHolder;
+    this.conversionServiceUtil = conversionServiceUtil;
+    this.conversionController = new 
ConversionController(sparkHolder.jsc().hadoopConfiguration());
+  }
+
+  /**
+   * Constructs a ConversionService instance using dependency injection for 
testing.
+   *
+   * @param sparkHolder the Spark holder instance
+   * @param conversionController a preconfigured conversion controller
+   * @param conversionServiceUtil utility for handling metadata operations
+   */
+  @VisibleForTesting
+  public ConversionService(
+      SparkHolder sparkHolder,
+      ConversionServiceUtil conversionServiceUtil,
+      ConversionController conversionController) {
+    this.sparkHolder = sparkHolder;
+    this.conversionController = conversionController;
+    this.conversionServiceUtil = conversionServiceUtil;
+  }
+
+  /**
+   * Converts a source table to one or more target table formats.
+   *
+   * <p>The method builds a SourceTable based on the request parameters and 
constructs corresponding
+   * TargetTable instances for each target format. It then performs a 
synchronous conversion through
+   * the conversion controller. After conversion, it retrieves schema and 
metadata paths for each
+   * target table.
+   *
+   * @param convertTableRequest the conversion request containing source table 
details and target
+   *     formats
+   * @return a response containing details of converted target tables
+   */
+  public ConvertTableResponse convertTable(ConvertTableRequest 
convertTableRequest) {
+    SourceTable sourceTable =
+        SourceTable.builder()
+            .name(convertTableRequest.getSourceTableName())
+            .basePath(convertTableRequest.getSourceTablePath())
+            .formatName(convertTableRequest.getSourceFormat())
+            .build();
+
+    List<TargetTable> targetTables = new ArrayList<>();
+    for (String targetFormat : convertTableRequest.getTargetFormats()) {
+      TargetTable targetTable =
+          TargetTable.builder()
+              .name(convertTableRequest.getSourceTableName())
+              .basePath(convertTableRequest.getSourceTablePath())
+              .formatName(targetFormat)
+              .build();
+      targetTables.add(targetTable);
+    }
+
+    ConversionConfig conversionConfig =
+        
ConversionConfig.builder().sourceTable(sourceTable).targetTables(targetTables).build();
+
+    ConversionSourceProvider<?> conversionSourceProvider =
+        conversionServiceUtil.getConversionSourceProvider(
+            convertTableRequest.getSourceFormat(), 
sparkHolder.jsc().hadoopConfiguration());

Review Comment:
   You can do this and avoid the class `ConversionSourceUtil` class completely.
     
`conversionSourceProvider.getConversionSourceInstance(sourceTable).getCurrentTable()
 `



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