[GitHub] spark issue #22939: [SPARK-25446][R] Add schema_of_json() and schema_of_csv(...
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/22939 Error looks reasonable... --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/22939
@felixcheung, I tested when the user passes in a column that is not a
literal string, and it shows the results as below:
```
> json <- '{"name":"Bob"}'
> df <- sql("SELECT * FROM range(1)")
> head(select(df, schema_of_json(df$id)))
Error in handleErrors(returnStatus, conn) :
org.apache.spark.sql.AnalysisException: cannot resolve
'schema_of_json(`id`)' due to data type mismatch: The input json should be a
string literal and not null; however, got `id`.;;
'Project [schema_of_json(id#0L) AS schema_of_json(id)#2]
+- Project [id#0L]
+- Range (0, 1, step=1, splits=None)
at
org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
...
```
```
> csv <- "Amsterdam,2018"
> df <- sql("SELECT * FROM range(1)")
> head(select(df, schema_of_csv(df$id)))
Error in handleErrors(returnStatus, conn) :
org.apache.spark.sql.AnalysisException: cannot resolve
'schema_of_csv(`id`)' due to data type mismatch: The input csv should be a
string literal and not null; however, got `id`.;;
'Project [schema_of_csv(id#3L) AS schema_of_csv(id)#5]
+- Project [id#3L]
+- Range (0, 1, step=1, splits=None)
at
org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
...
```
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/22939
Will make another PR after this gets merged to allow the cases below:
```r
df <- sql("SELECT named_struct('name', 'Bob') as people")
df <- mutate(df, people_json = to_json(df$people))
head(select(df, from_json(df$people_json,
schema_of_json(head(df)$people_json
```
```
from_json(people_json)
1Bob
```
```r
df <- sql("SELECT named_struct('name', 'Bob') as people")
df <- mutate(df, people_json = to_csv(df$people))
head(select(df, from_csv(df$people_json,
schema_of_csv(head(df)$people_json
```
```
from_csv(people_json)
1 Bob
```
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Github user viirya commented on the issue: https://github.com/apache/spark/pull/22939 > In addition, it also proposes to make from_csv and from_json accept structType, DDL-formatted string, DDL-formatted string literal, and schema_of_[csv|json] as schema so that we can utilise both schema_of_json and schema_of_csv. Shall we make it as separate PR? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #22939: [SPARK-25446][R] Add schema_of_json() and schema_of_csv(...
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[GitHub] spark issue #22939: [SPARK-25446][R] Add schema_of_json() and schema_of_csv(...
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[GitHub] spark issue #22939: [SPARK-25446][R] Add schema_of_json() and schema_of_csv(...
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[GitHub] spark issue #22939: [SPARK-25446][R] Add schema_of_json() and schema_of_csv(...
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