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Posted to commits@spark.apache.org by ya...@apache.org on 2024/07/18 07:58:37 UTC
(spark) branch master updated: [MINOR][SQL][TESTS] Enable test case `testOrcAPI` in `JavaDataFrameReaderWriterSuite`
This is an automated email from the ASF dual-hosted git repository.
yangjie01 pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/spark.git
The following commit(s) were added to refs/heads/master by this push:
new 546da0d5522e [MINOR][SQL][TESTS] Enable test case `testOrcAPI` in `JavaDataFrameReaderWriterSuite`
546da0d5522e is described below
commit 546da0d5522ec79620bd29563c5ea809386635f5
Author: yangjie01 <ya...@baidu.com>
AuthorDate: Thu Jul 18 15:58:21 2024 +0800
[MINOR][SQL][TESTS] Enable test case `testOrcAPI` in `JavaDataFrameReaderWriterSuite`
### What changes were proposed in this pull request?
This PR enabled test case `testOrcAPI` in `JavaDataFrameReaderWriterSuite` because this test no longer depends on Hive classes, we can test it like other test cases in this Suite.
### Why are the changes needed?
Enable test case `testOrcAPI` in `JavaDataFrameReaderWriterSuite`
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
Pass GitHub Actions
### Was this patch authored or co-authored using generative AI tooling?
No
Closes #47400 from LuciferYang/minor-testOrcAPI.
Authored-by: yangjie01 <ya...@baidu.com>
Signed-off-by: yangjie01 <ya...@baidu.com>
---
.../test/org/apache/spark/sql/JavaDataFrameReaderWriterSuite.java | 5 +----
1 file changed, 1 insertion(+), 4 deletions(-)
diff --git a/sql/core/src/test/java/test/org/apache/spark/sql/JavaDataFrameReaderWriterSuite.java b/sql/core/src/test/java/test/org/apache/spark/sql/JavaDataFrameReaderWriterSuite.java
index 2a0c8c00574a..691fb67bbe90 100644
--- a/sql/core/src/test/java/test/org/apache/spark/sql/JavaDataFrameReaderWriterSuite.java
+++ b/sql/core/src/test/java/test/org/apache/spark/sql/JavaDataFrameReaderWriterSuite.java
@@ -144,10 +144,7 @@ public class JavaDataFrameReaderWriterSuite {
.write().parquet(output);
}
- /**
- * This only tests whether API compiles, but does not run it as orc()
- * cannot be run without Hive classes.
- */
+ @Test
public void testOrcAPI() {
spark.read().schema(schema).orc();
spark.read().schema(schema).orc(input);
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