Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/17077#discussion_r110632132
--- Diff: python/pyspark/sql/tests.py ---
@@ -2167,6 +2167,61 @@ def test_BinaryType_serialization(self):
df = self.spark.createDataFrame(data, schema=schema)
df.collect()
+ def test_bucketed_write(self):
+ data = [
+ (1, "foo", 3.0), (2, "foo", 5.0),
+ (3, "bar", -1.0), (4, "bar", 6.0),
+ ]
+ df = self.spark.createDataFrame(data, ["x", "y", "z"])
+
+ # Test write with one bucketing column
+ df.write.bucketBy(3,
"x").mode("overwrite").saveAsTable("pyspark_bucket")
+ self.assertEqual(
+ len([c for c in
self.spark.catalog.listColumns("pyspark_bucket")
+ if c.name == "x" and c.isBucket]),
+ 1
+ )
+ self.assertSetEqual(set(data),
set(self.spark.table("pyspark_bucket").collect()))
+
+ # Test write two bucketing columns
+ df.write.bucketBy(3, "x",
"y").mode("overwrite").saveAsTable("pyspark_bucket")
+ self.assertEqual(
+ len([c for c in
self.spark.catalog.listColumns("pyspark_bucket")
+ if c.name in ("x", "y") and c.isBucket]),
--- End diff --
@zero323, I am sorry. What do you think about something like this one
below?:
```python
cols = self.spark.catalog.listColumns("pyspark_bucket")
num = len([c for c in cols if c.name in ("x", "y") and c.isBucket])
self.assertEqual(num, 2)
```
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