[ 
https://issues.apache.org/jira/browse/SPARK-26972?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Jean Georges Perrin updated SPARK-26972:
----------------------------------------
    Description: 
 

 

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 in the attached books.csv:
{noformat}
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{noformat}
And this Java code:
{code:java}
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();
{code}
h1. In Spark v2.0.1

Output:

 
{noformat}
+---+--------+--------------------+-----------+--------------------+
| 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)
{noformat}
 

 

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

Excerpt of the dataframe content:

 
{noformat}
+--------------------+--------+--------------------+-----------+--------------------+
| 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){noformat}
 

 

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:

 
{noformat}
+---+--------+--------------------+-----------+--------------------+
| 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)
{noformat}
 

 

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

 
{code:java}
df.show(7, 90);
{code}
I get:

 

 
{noformat}
+---+--------+------------------------------------------------------------------------------------------+-----------+-----------------------+
| 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
|
+---+--------+------------------------------------------------------------------------------------------+-----------+-----------------------+
{noformat}
 

 

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:

 

 
{code:java}
    // Creates the schema
    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) });

    // GitHub version only: dumps the schema
    SchemaInspector.print(schema);

    // 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");
{code}
 

 

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.]

 

 

  was:
 

 

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 in the attached books.csv:
{noformat}
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{noformat}
 

And this Java code:
{code:java}
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();
{code}
h1. In Spark v2.0.1
{code:java}
+---+--------+--------------------+-----------+--------------------+
| 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)

{code}
*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.]

 

 


> 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: 2.1.3, 2.3.3, 2.4.0
>         Environment: Java 8/Scala 2.11/MacOs
>            Reporter: Jean Georges Perrin
>            Priority: Major
>         Attachments: ComplexCsvToDataframeApp.java, 
> ComplexCsvToDataframeWithSchemaApp.java, books.csv, issue.txt, pom.xml
>
>
>  
>  
> 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 in the attached books.csv:
> {noformat}
> 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{noformat}
> And this Java code:
> {code:java}
> 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();
> {code}
> h1. In Spark v2.0.1
> Output:
>  
> {noformat}
> +---+--------+--------------------+-----------+--------------------+
> | 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)
> {noformat}
>  
>  
> *This is fine and the expected output*.
> h1. Using Apache Spark v2.1.3
> Excerpt of the dataframe content:
>  
> {noformat}
> +--------------------+--------+--------------------+-----------+--------------------+
> | 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){noformat}
>  
>  
> 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:
>  
> {noformat}
> +---+--------+--------------------+-----------+--------------------+
> | 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)
> {noformat}
>  
>  
> The *link* column *has a carriage return* at the end of its name. If I run 
> and use:
>  
> {code:java}
> df.show(7, 90);
> {code}
> I get:
>  
>  
> {noformat}
> +---+--------+------------------------------------------------------------------------------------------+-----------+-----------------------+
> | 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
> |
> +---+--------+------------------------------------------------------------------------------------------+-----------+-----------------------+
> {noformat}
>  
>  
> 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:
>  
>  
> {code:java}
>     // Creates the schema
>     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) });
>     // GitHub version only: dumps the schema
>     SchemaInspector.print(schema);
>     // 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");
> {code}
>  
>  
> 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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