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CSV mapping ignored and entered in CSV header order

See original GitHub issue

System information:

  • Ubuntu 18.04.3 LTS
  • DBeaver

Connection specification:

  • Local MySQL database
  • com.mysql.jdbc.Driver

Describe the problem you’re observing:

Mappings for CSV import does not work. The CSV order overrides the mapping. In my case the columns in the CSV are: id, cid, ip_from, ip_to and the DB columns are id, ip_from, ip_to, cid. The mapping wont go in the correct order.

Steps to reproduce, if exist:

Import a CSV with different order than that of the table?

Issue Analytics

  • State:closed
  • Created 4 years ago
  • Reactions:5
  • Comments:6 (2 by maintainers)

github_iconTop GitHub Comments

serge-ridercommented, Feb 20, 2020

This bug was caused by commit 14c5f1d6681650125c50f5ddbc52970a78d5bfc7 Fixed

patrickmdnetcommented, Jan 30, 2020

I can reproduce in 6.3.4 Community. This bug does not happen in 6.3.3 EE.

System information:

  • Windows 10 x64

Connection specification:

  • SQLLite (org.xerial.sqlite-jdbc:RELEASE)

To repro, make a small CSV and call it “sample.csv”

"00123",1123,"Many Places"

Make a tiny SQLite DB (or whatever DB, it doesn’t matter) where the order of the first two columns is swapped:

# sqlite script to create table for sample.csv
# sqlite-tools-win32-x86-3310100\sqlite3 < sample.sqllite
create table sample(visits int, id varchar(10), location varchar(20));
.save sample.db
  1. In DBeaver, connect to the SQLlite DB.
  2. Choose “Import Data” for the SQLLite table sample.
  3. At “Source type and format”, choose CSV then Next
  4. At “Input file(s)”, choose “sample.csv”, then Next
  5. At “Settings (Files to Database, CSV”) choose Next
  6. At Preview Data Import, set visits to be bound to ID, and id to be bound to Visits. You will notice that the “Preview data” pane doesn’t change in order. On 6.3.3 EE the preview pane does change. So the bad behavior is here, somewhere.


  1. Hit Next, then Start.
  2. You will get the following in the sample table:
visits id location
123 1123 Many Places
132567 1213 Tinseltown
999 3333 LAX

which is wrong.

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