spark-instrumented-optimizer/external/avro
Wenchen Fan cb06209fc9 [SPARK-28747][SQL] merge the two data source v2 fallback configs
## What changes were proposed in this pull request?

Currently we have 2 configs to specify which v2 sources should fallback to v1 code path. One config for read path, and one config for write path.

However, I found it's awkward to work with these 2 configs:
1. for `CREATE TABLE USING format`, should this be read path or write path?
2. for `V2SessionCatalog.loadTable`,  we need to return `UnresolvedTable` if it's a DS v1 or we need to fallback to v1 code path. However, at that time, we don't know if the returned table will be used for read or write.

We don't have any new features or perf improvement in file source v2. The fallback API is just a safeguard if we have bugs in v2 implementations. There are not many benefits to support falling back to v1 for read and write path separately.

This PR proposes to merge these 2 configs into one.

## How was this patch tested?

existing tests

Closes #25465 from cloud-fan/merge-conf.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-08-27 20:47:24 +08:00
..
benchmarks [SPARK-25965][SQL][TEST] Add avro read benchmark 2018-11-14 11:26:26 -08:00
src [SPARK-28747][SQL] merge the two data source v2 fallback configs 2019-08-27 20:47:24 +08:00
pom.xml [SPARK-25956] Make Scala 2.12 as default Scala version in Spark 3.0 2018-11-14 16:22:23 -08:00