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Posted to issues@spark.apache.org by "Jean Georges Perrin (JIRA)" <ji...@apache.org> on 2019/02/22 14:48:00 UTC

[jira] [Created] (SPARK-26972) Issue with CSV import and inferSchema set to true

Jean Georges Perrin created SPARK-26972:
-------------------------------------------

             Summary: Issue with CSV import and inferSchema set to true
                 Key: SPARK-26972
                 URL: https://issues.apache.org/jira/browse/SPARK-26972
             Project: Spark
          Issue Type: Bug
          Components: Input/Output
    Affects Versions: 2.4.0, 2.3.3, 2.1.3
         Environment: Java 8/Scala 2.11/MacOs
            Reporter: Jean Georges Perrin


 

 

Issue with CSV import and inferSchema set to true.

I found a few discrepencies while working with inferSchema set to true in CSV ingestion.

Given the following CSV:

{{id;authorId;title;releaseDate;link}}
{{1;1;Fantastic Beasts and Where to Find Them: The Original Screenplay;11/18/16;http://amzn.to/2kup94P}}
{{2;1;*Harry Potter and the Sorcerer's Stone: The Illustrated Edition (Harry Potter; Book 1)*;10/6/15;http://amzn.to/2l2lSwP}}
{{3;1;*The Tales of Beedle the Bard, Standard Edition (Harry Potter)*;12/4/08;http://amzn.to/2kYezqr}}
{{4;1;*Harry Potter and the Chamber of Secrets: The Illustrated Edition (Harry Potter; Book 2)*;10/4/16;http://amzn.to/2kYhL5n}}
{{5;2;*Informix 12.10 on Mac 10.12 with a dash of Java 8: The Tale of the Apple; the Coffee; and a Great Database*;4/23/17;http://amzn.to/2i3mthT}}
{{6;2;*Development Tools in 2006: any Room for a 4GL-style Language? }}
{{An independent study by Jean Georges Perrin, IIUG Board Member*;12/28/16;http://amzn.to/2vBxOe1}}
{{7;3;Adventures of Huckleberry Finn;5/26/94;http://amzn.to/2wOeOav}}
{{8;3;A Connecticut Yankee in King Arthur's Court;6/17/17;http://amzn.to/2x1NuoD}}
{{10;4;Jacques le Fataliste;3/1/00;http://amzn.to/2uZj2KA}}
{{11;4;Diderot Encyclopedia: The Complete Illustrations 1762-1777;;http://amzn.to/2i2zo3I}}
{{12;;A Woman in Berlin;7/11/06;http://amzn.to/2i472WZ}}
{{13;6;Spring Boot in Action;1/3/16;http://amzn.to/2hCPktW}}
{{14;6;Spring in Action: Covers Spring 4;11/28/14;http://amzn.to/2yJLyCk}}
{{15;7;Soft Skills: The software developer's life manual;12/29/14;http://amzn.to/2zNnSyn}}
{{16;8;Of Mice and Men;;http://amzn.to/2zJjXoc}}
{{17;9;*Java 8 in Action: Lambdas; Streams; and functional-style programming*;8/28/14;http://amzn.to/2isdqoL}}
{{18;12;Hamlet;6/8/12;http://amzn.to/2yRbewY}}
{{19;13;Pensées;12/31/1670;http://amzn.to/2jweHOG}}
{{20;14;*Fables choisies; mises en vers par M. de La Fontaine*;9/1/1999;http://amzn.to/2yRH10W}}
{{21;15;Discourse on Method and Meditations on First Philosophy;6/15/1999;http://amzn.to/2hwB8zc}}
{{22;12;Twelfth Night;7/1/4;http://amzn.to/2zPYnwo}}
{{23;12;Macbeth;7/1/3;http://amzn.to/2zPYnwo}}

And this code:

{{Dataset<Row> df = spark.read().format("csv")}}
{{ .option("header", "true")}}
{{ .option("multiline", true)}}
{{ .option("sep", ";")}}
{{ .option("quote", "*")}}
{{ .option("dateFormat", "M/d/y")}}
{{ .option("inferSchema", true)}}
{{ .load("data/books.csv");}}
{{df.show(7);}}
{{df.printSchema();}}
h1. In Spark v2.0.1

{{Excerpt of the dataframe content:}}
{{+---+--------+--------------------+-----------+--------------------+}}
{{| id|authorId| title|releaseDate| link|}}
{{+---+--------+--------------------+-----------+--------------------+}}
{{| 1| 1|Fantastic Beasts ...| 11/18/16|http://amzn.to/2k...|}}
{{| 2| 1|Harry Potter and ...| 10/6/15|http://amzn.to/2l...|}}
{{| 3| 1|The Tales of Beed...| 12/4/08|http://amzn.to/2k...|}}
{{| 4| 1|Harry Potter and ...| 10/4/16|http://amzn.to/2k...|}}
{{| 5| 2|Informix 12.10 on...| 4/23/17|http://amzn.to/2i...|}}
{{| 6| 2|Development Tools...| 12/28/16|http://amzn.to/2v...|}}
{{| 7| 3|Adventures of Huc...| 5/26/94|http://amzn.to/2w...|}}
{{+---+--------+--------------------+-----------+--------------------+}}
{{only showing top 7 rows}}{{Dataframe's schema:}}
{{root}}
{{ |-- id: integer (nullable = true)}}
{{ |-- authorId: integer (nullable = true)}}
{{ |-- title: string (nullable = true)}}
{{ |-- releaseDate: string (nullable = true)}}
{{ |-- link: string (nullable = true)}}

*This is fine and the expected output*.
h1. Using Apache Spark v2.1.3

Excerpt of the dataframe content:

{{+--------------------+--------+--------------------+-----------+--------------------+}}
{{ | id|authorId| title|releaseDate| link|}}
{{ +--------------------+--------+--------------------+-----------+--------------------+}}
{{ | 1| 1|Fantastic Beasts ...| 11/18/16|http://amzn.to/2k...|}}
{{ | 2| 1|Harry Potter and ...| 10/6/15|http://amzn.to/2l...|}}
{{ | 3| 1|The Tales of Beed...| 12/4/08|http://amzn.to/2k...|}}
{{ | 4| 1|Harry Potter and ...| 10/4/16|http://amzn.to/2k...|}}
{{ | 5| 2|Informix 12.10 on...| 4/23/17|http://amzn.to/2i...|}}
{{ | 6| 2|Development Tools...| null| null|}}
{{ |An independent st...|12/28/16|http://amzn.to/2v...| null| null|}}
{{ +--------------------+--------+--------------------+-----------+--------------------+}}
{{ only showing top 7 rows}}{{Dataframe's schema:}}
{{ root}}
{{ |-- id: string (nullable = true)}}
{{ |-- authorId: string (nullable = true)}}
{{ |-- title: string (nullable = true)}}
{{ |-- releaseDate: string (nullable = true)}}
{{ |-- link: string (nullable = true)}}

The *multiline* option is *not recognized*. And, of course, the schema is wrong.
h1. Using Apache Spark v2.2.3

Excerpt of the dataframe content:

{{+---+--------+--------------------+-----------+--------------------+}}
{{| id|authorId| title|releaseDate| link}}
{{|}}
{{+---+--------+--------------------+-----------+--------------------+}}
{{| 1| 1|Fantastic Beasts ...| 11/18/16|http://amzn.to/2k...|}}
{{| 2| 1|Harry Potter and ...| 10/6/15|http://amzn.to/2l...|}}
{{| 3| 1|The Tales of Beed...| 12/4/08|http://amzn.to/2k...|}}
{{| 4| 1|Harry Potter and ...| 10/4/16|http://amzn.to/2k...|}}
{{| 5| 2|Informix 12.10 on...| 4/23/17|http://amzn.to/2i...|}}
{{| 6| 2|Development Tools...| 12/28/16|http://amzn.to/2v...|}}
{{| 7| 3|Adventures of Huc...| 5/26/94|http://amzn.to/2w...|}}
{{+---+--------+--------------------+-----------+--------------------+}}
{{only showing top 7 rows}}{{Dataframe's schema:}}
{{root}}
{{ |-- id: integer (nullable = true)}}
{{ |-- authorId: integer (nullable = true)}}
{{ |-- title: string (nullable = true)}}
{{ |-- releaseDate: string (nullable = true)}}
{{ |-- link}}
{{: string (nullable = true)}}

The *link* column *has a carriage return* at the end of its name. If I run and use:

{{df.show(7, 90);}}

I get:

{{+---+--------+------------------------------------------------------------------------------------------+-----------+-----------------------+}}
{{| id|authorId| title|releaseDate| link}}
{{|}}
{{+---+--------+------------------------------------------------------------------------------------------+-----------+-----------------------+}}
{{| 1| 1| Fantastic Beasts and Where to Find Them: The Original Screenplay| 11/18/16|http://amzn.to/2kup94P}}
{{|}}
{{| 2| 1| Harry Potter and the Sorcerer's Stone: The Illustrated Edition (Harry Potter; Book 1)| 10/6/15|http://amzn.to/2l2lSwP}}
{{|}}
{{| 3| 1| The Tales of Beedle the Bard, Standard Edition (Harry Potter)| 12/4/08|http://amzn.to/2kYezqr}}
{{|}}
{{| 4| 1| Harry Potter and the Chamber of Secrets: The Illustrated Edition (Harry Potter; Book 2)| 10/4/16|http://amzn.to/2kYhL5n}}
{{|}}
{{| 5| 2|Informix 12.10 on Mac 10.12 with a dash of Java 8: The Tale of the Apple; the Coffee; a...| 4/23/17|http://amzn.to/2i3mthT}}
{{|}}
{{| 6| 2|Development Tools in 2006: any Room for a 4GL-style Language? }}
{{An independent study by...| 12/28/16|http://amzn.to/2vBxOe1}}
{{|}}
{{| 7| 3| Adventures of Huckleberry Finn| 5/26/94|http://amzn.to/2wOeOav}}
{{|}}
{{+---+--------+------------------------------------------------------------------------------------------+-----------+-----------------------+}}

The carriage *return is added to my the last cell*.

Same behavior in v2.3.3 and v2.4.0.

If I add the schema, like in:

{{StructType schema = DataTypes.createStructType(new StructField[] {}}
{{ DataTypes.createStructField(}}
{{ "id",}}
{{ DataTypes.IntegerType,}}
{{ false),}}
{{ DataTypes.createStructField(}}
{{ "authordId",}}
{{ DataTypes.IntegerType,}}
{{ true),}}
{{ DataTypes.createStructField(}}
{{ "bookTitle",}}
{{ DataTypes.StringType,}}
{{ false),}}
{{ DataTypes.createStructField(}}
{{ "releaseDate",}}
{{ DataTypes.DateType,}}
{{ true), // nullable, but this will be ignore}}
{{ DataTypes.createStructField(}}
{{ "url",}}
{{ DataTypes.StringType,}}
{{ false) });}}

{{// Reads a CSV file with header, called books.csv, stores it in a dataframe}}
{{Dataset<Row> df = spark.read().format("csv")}}
{{ .option("header", "true")}}
{{ .option("multiline", true)}}
{{ .option("sep", ";")}}
{{ .option("dateFormat", "M/d/y")}}
{{ .option("quote", "*")}}
{{ .schema(schema)}}
{{ .load("data/books.csv");}}

The output is matching what is expected in any version *except version 2.1.3, where Spark simply crashes*.

All the code can be downloaded from GitHub at: [https://github.com/jgperrin/net.jgp.books.sparkWithJava.ch07.]

 

 



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