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https://issues.apache.org/jira/browse/SPARK-33501?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nilesh Patil updated SPARK-33501:
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Description:
If we read with mulitLine true and encoding with "ISO-8859-1" then we are
getting value like this {color:#ff0000}AUTO EL*�*TRICA{color}. and if we read
with multiLine false and encoding with "ISO-8859-1" thne we are getting value
like {color:#ff0000}AUTO EL*É*TRICA{color}
Below is the code we are using
Dataset<Row> dataset1 = SparkUtil.getSparkSession().read().Dataset<Row>
dataset1 = SparkUtil.getSparkSession().read(). option("header", "true").
option("inferSchema", true). option("delimiter", ";") .option("quote", "\"")
.option("multiLine", true) .option("encoding", "ISO-8859-1") .csv("file path");
dataset1.show();
Sample file is attached in attachement
was:
If we read with mulitLine true and encoding with "ISO-8859-1" then we are
getting value like this {color:#FF0000}AUTO EL*�*TRICA{color}. and if we read
with multiLine false and encoding with "ISO-8859-1" thne we are getting value
like {color:#FF0000}AUTO EL*É*TRICA{color}
Below is the code we are using
Dataset<Row> dataset1 = SparkUtil.getSparkSession().read().Dataset<Row>
dataset1 = SparkUtil.getSparkSession().read(). option("header", "true").
option("inferSchema", true). option("delimiter", ";") .option("quote", "\"")
.option("multiLine", true) .option("encoding", "ISO-8859-1") .csv("file path");
dataset1.show();
> Encoding is not working if multiLine option is true.
> ----------------------------------------------------
>
> Key: SPARK-33501
> URL: https://issues.apache.org/jira/browse/SPARK-33501
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.3.4
> Reporter: Nilesh Patil
> Priority: Major
> Attachments: 1605860036183.csv
>
>
> If we read with mulitLine true and encoding with "ISO-8859-1" then we are
> getting value like this {color:#ff0000}AUTO EL*�*TRICA{color}. and if we
> read with multiLine false and encoding with "ISO-8859-1" thne we are getting
> value like {color:#ff0000}AUTO EL*É*TRICA{color}
> Below is the code we are using
> Dataset<Row> dataset1 = SparkUtil.getSparkSession().read().Dataset<Row>
> dataset1 = SparkUtil.getSparkSession().read(). option("header", "true").
> option("inferSchema", true). option("delimiter", ";") .option("quote", "\"")
> .option("multiLine", true) .option("encoding", "ISO-8859-1") .csv("file
> path");
> dataset1.show();
> Sample file is attached in attachement
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