apache-sparkpysparkdatabricksspark-structured-streaming
Why dropping or selecting columns is not working properly with Spark Structured Streaming?
I have the following code and result. Here, I am using Databricks' autoloader.
The result I am getting is not correct, because if I don't drop the columns (df2), I have the following result.
Note that I notice similar behavior with select. What mistake am I doing here?
Solution
I have found the problem. I need to explicitly specify that the first line is a header. So, I changed the releavent line to this,
df = (spark.readStream.format("cloudFiles").option("cloudFiles.format", "csv")
.option("header", "true").schema(schema).load("/FileStore/tables/movies7"))
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