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Subject [GitHub] [datafu] rjurney commented on a change in pull request #15: Add Spark functionality to DataFu, datafu-spark
Date Tue, 28 May 2019 04:06:45 GMT
rjurney commented on a change in pull request #15: Add Spark functionality to DataFu, datafu-spark
URL: https://github.com/apache/datafu/pull/15#discussion_r287923515
 
 

 ##########
 File path: datafu-spark/src/main/scala/datafu/spark/DataFrameOps.scala
 ##########
 @@ -0,0 +1,92 @@
+/*
+ * 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 datafu.spark
+
+import org.apache.spark.sql.{Column, DataFrame}
+
+object DataFrameOps {
 
 Review comment:
   @eyala @uzadude @matthayes Yes, I thought this was the point of the entire thing. Why not
have an `activate()` function and then add these methods to the `DataFrame` class? pymongo_spark
does this to add methods like `pyspark.sql.DataFrame.saveToMongoDB` which make the API consistent
with PySpark's.
   
   See: https://github.com/mongodb/mongo-hadoop/tree/master/spark/src/main/python#usage
   
   ```python
   import pymongo_spark
   pymongo_spark.activate()
   
   ...
   
   some_rdd.saveToMongoDB('mongodb://localhost:27017/db.output_collection')
   ```

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