tedyu commented on a change in pull request #30984:
URL: https://github.com/apache/spark/pull/30984#discussion_r551661480
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
##########
@@ -737,6 +737,10 @@ abstract class PushableColumnBase {
}
case s: GetStructField if nestedPredicatePushdownEnabled =>
helper(s.child).map(_ :+ s.childSchema(s.ordinal).name)
+ case GetJsonObject(col, field) =>
+ val colName = col.toString.split("#")(0)
+ val fieldName = field.toString.split("\\.").last
+ Some(Seq("GetJsonObject(" + col + "," + field + ")"))
Review comment:
I rebuilt Spark locally and was able to get the same output for the
query you gave above.
Please note that get_json_object should be used here instead of
GetJsonObject().
I tried the following:
```
scala> spark.sql("CREATE TABLE IF NOT EXISTS t(id int , phone string)")
...
scala> spark.sql("select get_json_object(phone,'$.code') from t")
res10: org.apache.spark.sql.DataFrame = [get_json_object(phone, $.code):
string]
```
If an invalid column is specified:
```
scala> spark.sql("select get_json_object(phon,'$.code') from t")
org.apache.spark.sql.AnalysisException: cannot resolve '`phon`' given input
columns: [spark_catalog.default.t.id, spark_catalog.default.t.phone]; line 1
pos 23;
'Project [unresolvedalias('get_json_object('phon, $.code), None)]
+- SubqueryAlias spark_catalog.default.t
+- HiveTableRelation [`default`.`t`,
org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, Data Cols: [id#17,
phone#18], Partition Cols: []]
```
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