4ae57d5b3a
### What changes were proposed in this pull request? Removes PySpark version dependent codes from `pyspark.pandas` main codes. ### Why are the changes needed? There are several places to check the PySpark version and switch the logic, but now those are not necessary. We should remove them. We will do the same thing after we finish porting tests. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Existing tests. Closes #32138 from ueshin/issues/SPARK-35039/pyspark_version. Authored-by: Takuya UESHIN <ueshin@databricks.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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"""
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Additional Spark functions used in Koalas.
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"""
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from pyspark import SparkContext
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from pyspark.sql.column import Column, _to_java_column, _create_column_from_literal
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def repeat(col, n):
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"""
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Repeats a string column n times, and returns it as a new string column.
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"""
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sc = SparkContext._active_spark_context
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n = _to_java_column(n) if isinstance(n, Column) else _create_column_from_literal(n)
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return _call_udf(sc, "repeat", _to_java_column(col), n)
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def _call_udf(sc, name, *cols):
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return Column(sc._jvm.functions.callUDF(name, _make_arguments(sc, *cols)))
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def _make_arguments(sc, *cols):
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java_arr = sc._gateway.new_array(sc._jvm.Column, len(cols))
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for i, col in enumerate(cols):
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java_arr[i] = col
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return java_arr
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