Details
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Sub-task
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Status: Closed
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Critical
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Resolution: Won't Fix
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2.1.0
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None
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None
Description
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.
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|
+--------+-------+
+--------+-------+
