41 lines
1.6 KiB
Markdown
41 lines
1.6 KiB
Markdown
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---
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layout: global
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title: CSV Files
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displayTitle: CSV Files
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license: |
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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Spark SQL provides `spark.read().csv("file_name")` to read a file or directory of files in CSV format into Spark DataFrame, and `dataframe.write().csv("path")` to write to a CSV file. Function `option()` can be used to customize the behavior of reading or writing, such as controlling behavior of the header, delimiter character, character set, and so on.
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<!--TODO: add `option()` document reference-->
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<div class="codetabs">
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<div data-lang="scala" markdown="1">
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{% include_example csv_dataset scala/org/apache/spark/examples/sql/SQLDataSourceExample.scala %}
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</div>
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<div data-lang="java" markdown="1">
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{% include_example csv_dataset java/org/apache/spark/examples/sql/JavaSQLDataSourceExample.java %}
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</div>
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<div data-lang="python" markdown="1">
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{% include_example csv_dataset python/sql/datasource.py %}
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</div>
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</div>
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