implicit limitation on max column name length?

[CodingCat]

Hi, we recently noticed a bug in Spark 3.x which depends on the latest version of univocity parser. Basically, we found that there is an implicit limitation on column name length in univocity(1024 chars by default). if you added a header longer than the limitation, you will get NPE (you could see the detailed analysis in the Spark PR)

in univocity code base, you could add the following unit test to reproduce (to get that NPE error mentioned in Spark PR)

+       @Test
+       public void testSuperLongHeader() {
+               CsvWriterSettings settings = new CsvWriterSettings();
+               settings.getFormat().setLineSeparator("\n");
+               StringBuffer sb = new StringBuffer();
+               for (int i = 0; i < 1025; i++) {
+                       sb.append("a");
+               }
+               settings.setHeaders(sb.toString());
+               StringWriter out = new StringWriter();
+
+               CsvWriter writer = new CsvWriter(out, settings);
+               writer.writeHeaders();
+               List<String> row = new ArrayList<String>();
+               row.add("value 1");
+               row.add("value 2");
+               writer.writeRow(row);
+               writer.close();
+
+               assertEquals(out.toString(), "value 1,value 2\n");
+       }

NPE:

java.lang.NullPointerException: null
	at com.univocity.parsers.common.AbstractWriter.submitRow(AbstractWriter.java:349)
	at com.univocity.parsers.common.AbstractWriter.writeHeaders(AbstractWriter.java:444)
	at com.univocity.parsers.common.AbstractWriter.writeHeaders(AbstractWriter.java:410)
	at com.univocity.parsers.csv.CsvWriterTest.testSuperLongHeader(CsvWriterTest.java:638)

our question is: is such a limitation intentionally added? or it is actually a bug?

cc @HyukjinKwon @viirya

[CodingCat]

cc @jbax

[CodingCat]

ping @jbax

[jbax]

Fixed and will release a 2.9.1-SNAPSHOT version soon which you can use to test and confirm it's working.
Thank you!

[HyukjinKwon]

Awesome!