maropu commented on a change in pull request #29146:
URL: https://github.com/apache/spark/pull/29146#discussion_r463019812
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File path: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
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@@ -962,8 +962,8 @@ class SQLQuerySuite extends QueryTest with
SharedSparkSession with AdaptiveSpark
test("SET commands semantics using sql()") {
spark.sessionState.conf.clear()
- val testKey = "test.key.0"
- val testVal = "test.val.0"
+ val testKey = "test.key.k0"
Review comment:
I tried it though, I found just adding `DIGIT+`([Actually, I added
`INTEGER_VALUE`
instead](https://github.com/apache/spark/pull/29146/files#diff-8c1cb2af4aa1109e08481dae79052cc3R280))
there did not work well... For example, a pattern below was okay;
```
SET spark:sql:3=value or SET 1:2:key=value
```
https://github.com/apache/spark/pull/29146/files#diff-e9f35fff083788e6494cb1220a792b99R90-R92
But, a following pattern couldn't be parsed;
```
SET spark.sql.3=value or SET 1.2.key=value
```
https://github.com/apache/spark/pull/29146/files#diff-e9f35fff083788e6494cb1220a792b99R105-R106
That's because `.3` and `1.2` are regarded as the `DECIMAL_VALUE` tokens,
so the `configKey` parsing rule cannot match them correctly. I looked for an
approach to avoid it, but I haven't found a good idea so far.
Any idea for this? Anyway, I will keep looking for it.
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