How to import Jira issues using CSV or SQL
How to import Jira issues using CSV or SQL
Description
Using the runFromCsv and runFromSql including the propertyFile parameter, the Jira CLI supports a capability to import Jira issues with various options helpful for a number of scenarios.
If you are a Confluence user, then this can be made a lot easier for user as described in How to allow users to import Jira issues from Excel or CSV.
JIRA CSV importer
Jira also provides built-in Administrator-based support for CSV import - see Importing Data from CSV. This can also be automated through the Jira CLI import action.
Example
Command line
atlassian jira --action runFromCsv --file import.csv --propertyFile import.properties --common "--project zjiracli" --continue
import.csv
Action, Issue, Parent, Issue Type, Reporter, Summary, AffectsVersions, Custom1, Custom three, Text, comment, file, blah blah, ignore,
createIssue, , , bug, automation, A bug, "V1, V2", value1, value3, "Multi-line text with ""double quoted text"",
'single quoted text', and embedded separator", comment 1, , blah, ignore this,
createIssue, , , bug, automation, A bug, , value1, value3, "Multi-line text with ""double quoted text"",
with ending quote on new line
", comment 1, , blah, ignore this,
createIssue, , @issue@, subtask, automation, A bug subtask, , value1, value3, "See parent",
createIssue, , @issue@, subtask, automation, Another subtask, , value2, value3, "See parent",
addAttachment, @issue@,,,,,,,, attachment added to parent issue!!!,, src/itest/resources/data.txt
addComment, @subtask@,,,,,,,,, comment for last subtask,
import.properties
# Map field headings to parameters understood by the JIRA CLI
# - key values (left hand side) must not contain blanks, blanks can be escaped (with \) if needed
# - the first character of field names will be automatically lowercased (except for custom fields)
# - field headings with embedded blanks are ignored unless they are mapped
# - field heading that should be ignored should be mapped to blank
# - custom fields can either be specified by name, id (like customfield_10120), or id (like 10120)
# - value mappings can also be done, they are specific to the (mapped) field name
field.Comments = comment
field.Text = description
field.Issue\ Type = type
field.ignore =
value.type.item = task
value.type.subtask = Sub-task
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