I am using Spark version 1.5.2 with Sparklingwater version 1.5.2 .
I am getting a runtime error when I try to write a dataframe to disk. My
code looks as shown below,
val df =
sqlContext.read.format("com.databricks.spark.csv").option("inferSchema",inferSchema.toString).option("header",isHeader.toString).load(datapath)
df.write.parquet("some path")
I am getting a runtime error that says "Failed to load class for data
source: parquet."
I tried writing as json using df.write.json function then also I got similar
error for json.
I am new to spark. Am I missing anything here ?
Thanks,
Shyam
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