[SPARK-52724][SQL] Enhance broadcast join OOM error handling with SHUFFLE_MERGE hint support

### What changes were proposed in this pull request?

This PR enhances broadcast join OOM error handling by use shuffle sort merge join(`SHUFFLE_MERGE`) hint as a workaround for broadcast join OOM issues.

### Why are the changes needed?

Reduce support workload by involving customers to diagnose and resolve broadcast join OOM issues independently.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Manual test:
```
Not enough memory to build and broadcast the table to all worker nodes. As a workaround, you can either disable broadcast by setting spark.sql.autoBroadcastJoinThreshold to -1 or increase the spark driver memory by setting spark.driver.memory to a higher value or analyze these tables through: `ANALYZE TABLE `t1` COMPUTE STATISTICS; ANALYZE TABLE `t2` COMPUTE STATISTICS;` or apply the shuffle sort merge join hint as described in the Spark documentation: https://spark.apache.org/docs/latest/sql-ref-syntax-qry-select-hints.html#join-hints.

Not enough memory to build and broadcast the table to all worker nodes. As a workaround, you can either disable broadcast by setting spark.sql.autoBroadcastJoinThreshold to -1 or increase the spark driver memory by setting spark.driver.memory to a higher value or apply the shuffle sort merge join hint as described in the Spark documentation: https://spark.apache.org/docs/latest/sql-ref-syntax-qry-select-hints.html#join-hints.
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #51417 from Emma-82/SPARK-52724.

Authored-by: emmazhang <[email protected]>
Signed-off-by: Yuming Wang <[email protected]>

Author: Emma-82

common/utils/src/main/resources/error/error-conditions.json

@@ -8688,7 +8688,7 @@
   },
   "_LEGACY_ERROR_TEMP_2250" : {
     "message" : [
-      "Not enough memory to build and broadcast the table to all worker nodes. As a workaround, you can either disable broadcast by setting <autoBroadcastJoinThreshold> to -1 or increase the spark driver memory by setting <driverMemory> to a higher value<analyzeTblMsg>"
+      "Not enough memory to build and broadcast the table to all worker nodes. As a workaround, you can either disable broadcast by setting <autoBroadcastJoinThreshold> to -1 or increase the spark driver memory by setting <driverMemory> to a higher value<analyzeTblMsg> or apply the shuffle sort merge join hint as described in the Spark documentation: https://spark.apache.org/docs/latest/sql-ref-syntax-qry-select-hints.html#join-hints."
     ]
   },
   "_LEGACY_ERROR_TEMP_2251" : {

sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala

@@ -2106,9 +2106,9 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase with ExecutionE
       oe: OutOfMemoryError, tables: Seq[TableIdentifier]): Throwable = {
     val analyzeTblMsg = if (tables.nonEmpty) {
       " or analyze these tables through: " +
-        s"${tables.map(t => s"ANALYZE TABLE $t COMPUTE STATISTICS;").mkString(" ")}."
+        s"`${tables.map(t => s"ANALYZE TABLE $t COMPUTE STATISTICS;").mkString(" ")}`"
     } else {
-      "."
+      ""
     }
     new SparkException(
       errorClass = "_LEGACY_ERROR_TEMP_2250",