41 lines
1.8 KiB
Markdown
41 lines
1.8 KiB
Markdown
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---
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layout: global
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title: Text Files
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displayTitle: Text 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().text("file_name")` to read a file or directory of text files into a Spark DataFrame, and `dataframe.write().text("path")` to write to a text file. When reading a text file, each line becomes each row that has string "value" column by default. The line separator can be changed as shown in the example below. The `option()` function can be used to customize the behavior of reading or writing, such as controlling behavior of the line separator, compression, and so on.
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<!--TODO(SPARK-34491): 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 text_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 text_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 text_dataset python/sql/datasource.py %}
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</div>
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</div>
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