org.apache.spark.sql.execution.datasources.parquet.ParquetV1PartitionDiscoverySuite

(It is not a test it is a sbt.testing.SuiteSelector)

column type inference

listConflictingPartitionColumns

Parallel partition discovery

parse invalid partitioned directories

parse partition

parse partition with base paths

parse partitions

parse partitions with type inference disabled

read partitioned table - merging compatible schemas

read partitioned table - normal case

read partitioned table - partition key included in Parquet file

read partitioned table - with nulls

read partitioned table - with nulls and partition keys are included in Parquet file

read partitioned table using different path options

Resolve type conflicts - decimals, dates and timestamps in partition column

SPARK-11678: Partition discovery stops at the root path of the dataset

SPARK-15895 summary files in non-leaf partition directories

SPARK-18108 Parquet reader fails when data column types conflict with partition ones

SPARK-21463: MetadataLogFileIndex should respect userSpecifiedSchema for partition cols

SPARK-22109: Resolve type conflicts between strings and timestamps in partition column

SPARK-23436: invalid Dates should be inferred as String in partition inference

SPARK-7749 Non-partitioned table should have empty partition spec

SPARK-7847: Dynamic partition directory path escaping and unescaping

SPARK-8037: Ignores files whose name starts with dot

use basePath and file globbing to selectively load partitioned table

use basePath to specify the root dir of a partitioned table

use basePath to specify the root dir of a partitioned table.

Various inferred partition value types

Various partition value types

_SUCCESS should not break partitioning discovery