May 2017
Intermediate to advanced
294 pages
7h 33m
English
Content preview from Apache Spark 2.x Cookbook
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How to do it...
- Start the Spark shell:
$ spark-shell
- Read diabetes data from s3 as DataFrame (static):
scala> val sdf = spark.read.format("libsvm").load("s3a://sparkcookbook/patientdata")
- Extract schema from sdf DataFrame:
scala> val schema = sdf.schema
- Read diabetes data as Streaming DataFrame:
scala> val st_df = spark.readStream.schema(schema).format("libsvm").load("s3a://sparkcookbook/patientdata")
- Choose only the data that is positive, that is, has diabetes:
scala> val result = st_df.where($"label" === 1.0)
- Write this data to hdfs:
scala> result.writeStream.option("checkpointLocation","cp").format("parquet").start("tested-positive")
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