Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/15983 Yeah, table repair is expensive, but this causes an external behavior change. I tried it in 2.0. It can show the whole data source table without repairing the table. In 2.1, it returns empty unless we repair the table. ```Scala 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. 16/12/17 17:41:20 WARN CreateDataSourceTableUtils: Persisting partitioned data source relation `test` into Hive metastore in Spark SQL specific format, which is NOT compatible with Hive. Input path(s): file:/Users/xiaoli/sparkBin/spark-2.0.2-bin-hadoop2.7/bin/spark-warehouse/test scala> spark.sql("select * from test").show() +--------+-------+ |fieldOne|partCol| +--------+-------+ | 2| 2| | 1| 1| | 3| 3| | 0| 0| | 4| 4| +--------+-------+ scala> spark.sql("desc formatted test").show(50, false) +----------------------------+------------------------------------------------------------------------------+-------+ |col_name |data_type |comment| +----------------------------+------------------------------------------------------------------------------+-------+ ... | path |file:/Users/xiaoli/sparkBin/spark-2.0.2-bin-hadoop2.7/bin/spark-warehouse/test| | +----------------------------+------------------------------------------------------------------------------+-------+ scala> spark.sql(s"create table newTab (fieldOne long, partCol int) using parquet options (path '/Users/xiaoli/sparkBin/spark-2.0.2-bin-hadoop2.7/bin/spark-warehouse/test') partitioned by (partCol)") 16/12/17 17:43:24 WARN CreateDataSourceTableUtils: Persisting partitioned data source relation `newTab` into Hive metastore in Spark SQL specific format, which is NOT compatible with Hive. Input path(s): file:/Users/xiaoli/sparkBin/spark-2.0.2-bin-hadoop2.7/bin/spark-warehouse/test res3: org.apache.spark.sql.DataFrame = [] scala> spark.table("newTab").show() +--------+-------+ |fieldOne|partCol| +--------+-------+ | 2| 2| | 1| 1| | 3| 3| | 0| 0| | 4| 4| +--------+-------+ ```
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