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Posted to issues@spark.apache.org by "Gabor Somogyi (JIRA)" <ji...@apache.org> on 2019/02/15 10:07:00 UTC

[jira] [Created] (SPARK-26889) Fix timestamp type in Structured Streaming + Kafka Integration Guide

Gabor Somogyi created SPARK-26889:
-------------------------------------

             Summary: Fix timestamp type in Structured Streaming + Kafka Integration Guide
                 Key: SPARK-26889
                 URL: https://issues.apache.org/jira/browse/SPARK-26889
             Project: Spark
          Issue Type: Bug
          Components: Documentation, Structured Streaming
    Affects Versions: 3.0.0
            Reporter: Gabor Somogyi


{code:java}
$ spark-shell --packages org.apache.spark:spark-sql-kafka-0-10_2.11:3.0.0-SNAPSHOT
...
scala> val df = spark.read.format("kafka").option("kafka.bootstrap.servers", "foo").option("subscribe", "bar").load().printSchema()
root
 |-- key: binary (nullable = true)
 |-- value: binary (nullable = true)
 |-- topic: string (nullable = true)
 |-- partition: integer (nullable = true)
 |-- offset: long (nullable = true)
 |-- timestamp: timestamp (nullable = true)
 |-- timestampType: integer (nullable = true)

df: Unit = ()
{code}

In the doc timestamp type is long.




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