[GitHub] [incubator-doris] wangbo commented on a change in pull request #3055: [Spark load] FE creates spark load job and submits spark etl job

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wangbo commented on a change in pull request #3055: [Spark load] FE creates spark load job and submits spark etl job
URL: https://github.com/apache/incubator-doris/pull/3055#discussion_r389483894
 
 

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 File path: fe/src/main/java/org/apache/doris/load/loadv2/SparkLoadJob.java
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+// 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.doris.load.loadv2;
+
+import org.apache.doris.analysis.EtlClusterDesc;
+import org.apache.doris.catalog.Catalog;
+import org.apache.doris.common.Config;
+import org.apache.doris.common.DdlException;
+import org.apache.doris.common.LoadException;
+import org.apache.doris.common.MetaNotFoundException;
+import org.apache.doris.common.io.Text;
+import org.apache.doris.load.EtlJobType;
+import org.apache.logging.log4j.LogManager;
+import org.apache.logging.log4j.Logger;
+
+import java.io.DataInput;
+import java.io.DataOutput;
+import java.io.IOException;
+import java.util.Map;
+
+// TODO: add description
+public class SparkLoadJob extends BulkLoadJob {
+    private static final Logger LOG = LogManager.getLogger(SparkLoadJob.class);
+
+    // for global dict
+    private static final String BITMAP_DATA_PROPERTY = "bitmap_data";
+
+    private EtlClusterDesc etlClusterDesc;
+
+    private long etlStartTimestamp = -1;
+
+    // hivedb.table for global dict
+    // temporary use: one SparkLoadJob has only one table to load
+    private String hiveTableName;
+
+    // only for log replay
+    public SparkLoadJob() {
+        super();
+        this.jobType = EtlJobType.SPARK;
+    }
+
+    SparkLoadJob(long dbId, String label, EtlClusterDesc etlClusterDesc, String originStmt)
+            throws MetaNotFoundException {
+        super(dbId, label, originStmt);
+        this.timeoutSecond = Config.spark_load_default_timeout_second;
+        this.etlClusterDesc = etlClusterDesc;
+        this.jobType = EtlJobType.SPARK;
+    }
+
+    public String getHiveTableName() {
+        return hiveTableName;
+    }
+
+    @Override
+    protected void setJobProperties(Map<String, String> properties) throws DdlException {
+        super.setJobProperties(properties);
+
+        // global dict
+        if (properties != null) {
+            if (properties.containsKey(BITMAP_DATA_PROPERTY)) {
+                hiveTableName = properties.get(BITMAP_DATA_PROPERTY);
+            }
+        }
+    }
+
+    @Override
+    protected void unprotectedExecuteJob() throws LoadException {
+        LoadTask task = new SparkLoadPendingTask(this, fileGroupAggInfo.getAggKeyToFileGroups(),
+                                                 etlClusterDesc);
+        task.init();
+        idToTasks.put(task.getSignature(), task);
+        Catalog.getCurrentCatalog().getLoadTaskScheduler().submit(task);
+    }
+
+    @Override
+    public void onTaskFinished(TaskAttachment attachment) {
+        if (attachment instanceof SparkPendingTaskAttachment) {
+            onPendingTaskFinished((SparkPendingTaskAttachment) attachment);
+        }
+    }
+
+    private void onPendingTaskFinished(SparkPendingTaskAttachment attachment) {
+    }
 
 Review comment:
   For the initial version test,maybe we can abort transaction here when the SparkLoadJob is done to keep job state final.

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