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https://issues.apache.org/jira/browse/SPARK-23649?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maxim Gekk updated SPARK-23649:
-------------------------------
Attachment: utf8xFF.csv
> CSV schema inferring fails on some UTF-8 chars
> ----------------------------------------------
>
> Key: SPARK-23649
> URL: https://issues.apache.org/jira/browse/SPARK-23649
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: Maxim Gekk
> Priority: Major
> Attachments: utf8xFF.csv
>
>
> Schema inferring of CSV files fails if the file contains a char starts from
> *0xFF.*
> {code:java}
> spark.read.option("header", "true").csv("utf8xFF.csv")
> {code}
> {code:java}
> java.lang.ArrayIndexOutOfBoundsException: 63
> at
> org.apache.spark.unsafe.types.UTF8String.numBytesForFirstByte(UTF8String.java:191)
> at org.apache.spark.unsafe.types.UTF8String.numChars(UTF8String.java:206)
> {code}
> Here is content of the file:
> {code:java}
> hexdump -C ~/tmp/utf8xFF.csv
> 00000000 63 68 61 6e 6e 65 6c 2c 63 6f 64 65 0d 0a 55 6e |channel,code..Un|
> 00000010 69 74 65 64 2c 31 32 33 0d 0a 41 42 47 55 4e ff |ited,123..ABGUN.|
> 00000020 2c 34 35 36 0d |,456.|
> 00000025
> {code}
> Schema inferring doesn't fail in multiline mode:
> {code}
> spark.read.option("header", "true").option("multiline",
> "true").csv("utf8xFF.csv")
> {code}
> {code:java}
> +-------+-----+
> |channel|code
> +-------+-----+
> | United| 123
> | ABGUN�| 456
> +-------+-----+
> {code}
> and Spark is able to read the csv file if the schema is specified:
> {code}
> import org.apache.spark.sql.types._
> val schema = new StructType().add("channel", StringType).add("code",
> StringType)
> spark.read.option("header", "true").schema(schema).csv("utf8xFF.csv").show
> {code}
> {code:java}
> +-------+----+
> |channel|code|
> +-------+----+
> | United| 123|
> | ABGUN�| 456|
> +-------+----+
> {code}
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