spark-instrumented-optimizer/sql/catalyst
Davies Liu d46f8e5d4b [SPARK-7186] [SQL] Decouple internal Row from external Row
Currently, we use o.a.s.sql.Row both internally and externally. The external interface is wider than what the internal needs because it is designed to facilitate end-user programming. This design has proven to be very error prone and cumbersome for internal Row implementations.

As a first step, we create an InternalRow interface in the catalyst module, which is identical to the current Row interface. And we switch all internal operators/expressions to use this InternalRow instead. When we need to expose Row, we convert the InternalRow implementation into Row for users.

For all public API, we use Row (for example, data source APIs), which will be converted into/from InternalRow by CatalystTypeConverters.

For all internal data sources (Json, Parquet, JDBC, Hive), we use InternalRow for better performance, casted into Row in buildScan() (without change the public API). When create a PhysicalRDD, we cast them back to InternalRow.

cc rxin marmbrus JoshRosen

Author: Davies Liu <davies@databricks.com>

Closes #6792 from davies/internal_row and squashes the following commits:

f2abd13 [Davies Liu] fix scalastyle
a7e025c [Davies Liu] move InternalRow into catalyst
30db8ba [Davies Liu] Merge branch 'master' of github.com:apache/spark into internal_row
7cbced8 [Davies Liu] separate Row and InternalRow
2015-06-12 23:06:31 -07:00
..
src [SPARK-7186] [SQL] Decouple internal Row from external Row 2015-06-12 23:06:31 -07:00
pom.xml [SPARK-7956] [SQL] Use Janino to compile SQL expressions into bytecode 2015-06-04 10:28:59 -07:00