[SPARK-28431][SQL] Set maximum error message length in CSV datasource's parsing and writing

[WeichenXu123]

What changes were proposed in this pull request?

Fix CSV datasource to throw com.univocity.parsers.common.TextParsingException with large size message, which will make log output consume large disk space.
This issue is troublesome when sometimes we need parse CSV with large size column.

This PR proposes to set CSV parser/writer settings by setErrorContentLength(1000) to limit the error message length.

How was this patch tested?

Manually.

val s = "a" * 40 * 1000000
Seq(s).toDF.write.mode("overwrite").csv("/tmp/bogdan/es4196.csv")

spark.read .option("maxCharsPerColumn", 30000000) .csv("/tmp/bogdan/es4196.csv").count

Before:
The thrown message will include error content of about 30MB size (The column size exceed the max value 30MB, so the error content include the whole parsed content, so it is 30MB).

After:
The thrown message will include error content like "...aaa...aa" (the number of 'a' is 1024), i.e. limit the content size to be 1024.

[HyukjinKwon]

Looks fine otherwise

[MaxGekk]

Please, fix PR's title meximum -> maximum

[HyukjinKwon]

LGTM

[WeichenXu123]

Jenkins, retest this please.

[SparkQA]

Test build #107992 has finished for PR 25184 at commit 9e8fcca.

• This patch passes all tests.
• This patch merges cleanly.
• This patch adds no public classes.

[SparkQA]

Test build #108002 has finished for PR 25184 at commit 9e8fcca.

• This patch passes all tests.
• This patch merges cleanly.
• This patch adds no public classes.

[HyukjinKwon]

Merged to master.