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From "Paul Rogers (JIRA)" <j...@apache.org>
Subject [jira] [Created] (DRILL-5550) SELECT non-existent column produces empty required VARCHAR
Date Mon, 29 May 2017 21:54:04 GMT
Paul Rogers created DRILL-5550:

             Summary: SELECT non-existent column produces empty required VARCHAR
                 Key: DRILL-5550
                 URL: https://issues.apache.org/jira/browse/DRILL-5550
             Project: Apache Drill
          Issue Type: Bug
    Affects Versions: 1.10.0
            Reporter: Paul Rogers
            Priority: Minor

Drill's CSV column reader supports two forms of files:

* Files with column headers as the first line of the file.
* Files without column headers.

The CSV storage plugin specifies which format to use for files accessed via that storage plugin

Suppose we have a CSV file with headers:


Suppose we configure a storage plugin to use headers:

    TextFormatConfig csvFormat = new TextFormatConfig();
    csvFormat.fieldDelimiter = ',';
    csvFormat.skipFirstLine = false;
    csvFormat.extractHeader = true;

(The above can also be done using JSON when running Drill as a server.)

Execute the following query:

SELECT a, c, d FROM `dfs.data.example.csv`



The actual type of column {{d}} is non-nullable VARCHAR.

This is inconsistent with other parts of Drill in two ways, one may be a bug. Most other parts
of Drill use a nullable INT for "missing" columns.

1. For CSV it makes sense for the data type to be VARCHAR, since all CSV columns are of that
2. It may *not* make sense for the column to be non-nullable and blank rather than nullable
and NULL. In SQL, NULL means that the data is unknown, which is the case here.

In the future, we may want to use some other indication for a missing column. Until then,
the requested change is to make the type of a missing CSV column a nullable VARCHAR set to
value NULL.

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