[jira] [Assigned] (SPARK-26889) Fix timestamp type in Structured Streaming + Kafka Integration Guide
[ https://issues.apache.org/jira/browse/SPARK-26889?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon reassigned SPARK-26889: Assignee: Gabor Somogyi > 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 >Assignee: Gabor Somogyi >Priority: Trivial > > {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. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-26889) Fix timestamp type in Structured Streaming + Kafka Integration Guide
[ https://issues.apache.org/jira/browse/SPARK-26889?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-26889: Assignee: (was: Apache Spark) > 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 >Priority: Trivial > > {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. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-26889) Fix timestamp type in Structured Streaming + Kafka Integration Guide
[ https://issues.apache.org/jira/browse/SPARK-26889?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-26889: Assignee: Apache Spark > 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 >Assignee: Apache Spark >Priority: Trivial > > {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. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org