HyukjinKwon opened a new pull request #35968:
URL: https://github.com/apache/spark/pull/35968
### What changes were proposed in this pull request?
This PR proposes to show the default index type in SQL plans for pandas API
on Spark.
Note that this PR does not handle `sequence` case because that's discouraged
in production, and tricky to insert an alias.
### Why are the changes needed?
When users set `compute.default_index_type`, it's difficult to know which
DataFrame users which index. We should at least note that in Spark SQL so users
can tell which plans are for default index.
### Does this PR introduce _any_ user-facing change?
Yes, when users call `pyspark.pandas.DataFrame.spark.explain(True)`:
**distributed**
```python
import pyspark.pandas as ps
ps.set_option("compute.default_index_type", "distributed")
ps.range(1).spark.explain()
```
```
== Physical Plan ==
*(1) Project [distributed_index() AS __index_level_0__#15L, id#13L]
+- *(1) Range (0, 1, step=1, splits=16)
```
**distributed-sequence**
```python
import pyspark.pandas as ps
ps.set_option("compute.default_index_type", "distributed-sequence")
ps.range(1).spark.explain()
```
```
== Physical Plan ==
AttachDistributedSequence[__index_level_0__#16L, id#13L] Index:
__index_level_0__#16L
+- *(1) Range (0, 1, step=1, splits=16)
```
### How was this patch tested?
Manually tested.
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