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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/12/18 04:07:58 UTC
[jira] [Commented] (SPARK-18915) Return Nothing when Querying a
Partitioned Data Source Table without Repairing it
[ https://issues.apache.org/jira/browse/SPARK-18915?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15758144#comment-15758144 ]
Apache Spark commented on SPARK-18915:
--------------------------------------
User 'gatorsmile' has created a pull request for this issue:
https://github.com/apache/spark/pull/16326
> Return Nothing when Querying a Partitioned Data Source Table without Repairing it
> ---------------------------------------------------------------------------------
>
> Key: SPARK-18915
> URL: https://issues.apache.org/jira/browse/SPARK-18915
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Xiao Li
> Priority: Critical
>
> In Spark 2.1, if we create a parititoned data source table given a specified path, it returns nothing when we try to query it. To get the data, we have to manually issue a DDL to repair the table.
> In Spark 2.0, it can return the data stored in the specified path, without repairing the table.
> Below is the output of Spark 2.1.
> {noformat}
> scala> spark.range(5).selectExpr("id as fieldOne", "id as partCol").write.partitionBy("partCol").mode("overwrite").saveAsTable("test")
> [Stage 0:======================> (3 + 5) / 8]SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
> SLF4J: Defaulting to no-operation (NOP) logger implementation
> SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
>
> scala> spark.sql("select * from test").show()
> +--------+-------+
> |fieldOne|partCol|
> +--------+-------+
> | 0| 0|
> | 1| 1|
> | 2| 2|
> | 3| 3|
> | 4| 4|
> +--------+-------+
> scala> spark.sql("desc formatted test").show(50, false)
> +----------------------------+----------------------------------------------------------------------+-------+
> |col_name |data_type |comment|
> +----------------------------+----------------------------------------------------------------------+-------+
> |fieldOne |bigint |null |
> |partCol |bigint |null |
> |# Partition Information | | |
> |# col_name |data_type |comment|
> |partCol |bigint |null |
> | | | |
> |# Detailed Table Information| | |
> |Database: |default | |
> |Owner: |xiaoli | |
> |Create Time: |Sat Dec 17 17:46:24 PST 2016 | |
> |Last Access Time: |Wed Dec 31 16:00:00 PST 1969 | |
> |Location: |file:/Users/xiaoli/IdeaProjects/sparkDelivery/bin/spark-warehouse/test| |
> |Table Type: |MANAGED | |
> |Table Parameters: | | |
> | transient_lastDdlTime |1482025584 | |
> | | | |
> |# Storage Information | | |
> |SerDe Library: |org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe | |
> |InputFormat: |org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat | |
> |OutputFormat: |org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat | |
> |Compressed: |No | |
> |Storage Desc Parameters: | | |
> | serialization.format |1 | |
> |Partition Provider: |Catalog | |
> +----------------------------+----------------------------------------------------------------------+-------+
> scala> spark.sql(s"create table newTab (fieldOne long, partCol int) using parquet options (path 'file:/Users/xiaoli/IdeaProjects/sparkDelivery/bin/spark-warehouse/test') partitioned by (partCol)")
> res3: org.apache.spark.sql.DataFrame = []
> scala> spark.table("newTab").show()
> +--------+-------+
> |fieldOne|partCol|
> +--------+-------+
> +--------+-------+
> {noformat}
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