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Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/20171 Let me close this PR and open a new PR to introduce a new function `registerUDF` --- - 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/20171 I think that's because we expect Pandas's `Series` in the arguments. Correct usage will be something like `x.str.len() + y`. --- - 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 gatorsmile commented on the issue:
https://github.com/apache/spark/pull/20171
```
from pyspark.sql.functions import pandas_udf
from pyspark.sql.functions import col, lit
from pyspark.sql.types import LongType
df = spark.range(3)
f = pandas_udf(lambda x, y: len(x) + y, LongType())
df.select(f(lit('text'), col('id'))).show()
```
The result is wrong. cc @icexelloss @BryanCutler @taku-k @cloud-fan
```
+--+
|(text, id)|
+--+
| 1|
| 2|
| 3|
+--+
```
---
-
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[GitHub] spark issue #20171: [SPARK-22978] [PySpark] Register Vectorized UDFs for SQL...
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