[GitHub] [incubator-hudi] lamber-ken commented on issue #1284: [SUPPORT]

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lamber-ken commented on issue #1284: [SUPPORT]
URL: https://github.com/apache/incubator-hudi/issues/1284#issuecomment-579204395
 
 
   Hi @haospotai, give you a demo without sync to hive. When using the latest 
`release-0.5.1`, I met some error, I am tring to figure it out.
   
   ```
   export SPARK_HOME=/work/BigData/install/spark/spark-2.4.4-bin-hadoop2.7
   ${SPARK_HOME}/bin/pyspark --packages 
org.apache.hudi:hudi-spark-bundle:0.5.0-incubating --conf 
'spark.serializer=org.apache.spark.serializer.KryoSerializer'
   
   tableName = "hudi_mor_table"
   basePath = "file:///tmp/hudi_mor_table"
   datas = [{ "name": "kenken", "ts": "qwer", "age": 12, "location": 
"latitude"}]
   df = spark.read.json(spark.sparkContext.parallelize(datas, 2))
   
   df.write.format("org.apache.hudi"). \
       option("hoodie.insert.shuffle.parallelism", "10"). \
       option("hoodie.upsert.shuffle.parallelism", "10"). \
       option("hoodie.delete.shuffle.parallelism", "10"). \
       option("hoodie.bulkinsert.shuffle.parallelism", "10"). \
       option("hoodie.datasource.write.recordkey.field", "name"). \
       option("hoodie.datasource.write.partitionpath.field", "location"). \
       option("hoodie.datasource.write.precombine.field", "ts"). \
       option("hoodie.table.name", tableName). \
       option("hoodie.table.type", "MERGE_ON_READ"). \
       option("hoodie.datasource.write.storage.type", "MERGE_ON_READ"). \
       mode("Overwrite"). \
       save(basePath)
   
   spark.read.format("org.apache.hudi").load(basePath + "/*/").show()
   ```

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