Jailer, developed by Sourceforge, is a powerful database extraction tool that enables you to isolate and extract subsets of your data for analysis or data exchange purposes. With its intuitive user interface, Jailer generates scripts that allow you to extract the desired data and export it in various formats. It supports common databases including MySQL, Oracle, and PostgreSQL, and allows you to define your own data extractions via a rich set of GUI tools. Jailer is a must-have tool for anyone dealing with large and complex datasets!

Jailer by Sourceforge is a powerful tool for database subsetting and data browsing. This cutting-edge software is a must-have for anyone who wants to accurately analyze their data in a safe and reliable manner. With Jailer, users can easily import and export data in several file formats, making it an incredibly versatile tool. Its user-friendly interface and intuitive design make it easy to master, even for beginners. With its ability to generate meaningful test data from existing data sets, Jailer is an essential tool for database developers and analysts alike. Whether you’re working with small sets of data or large, complex databases, Jailer is the perfect tool to help you navigate your data like a pro. Download Jailer today and take your data analysis to the next level!

New Release
QL Console: new result tab "Pivot" next to "Chart". It shows a cross table of the rows:
The fields are chosen in a side bar. Row fields and column fields can be nested (e.g.
DEPTNO, then JOB), with subtotals per group. "Totals of single-element groups" also shows
subtotals of groups with only one subgroup.
Several values, each with its own aggregate function: Count, Count distinct, Sum, Avg, Min
or Max. "(rows)" counts the rows.
Totals are computed from the rows themselves, so that they are also correct for Avg and
Count distinct.
The values of a row or column field can be filtered (filter button next to the field).
Filtered rows are not counted, also not in the totals.
Double-clicking a cell selects its rows in the "Rows" tab and sorts the rows accordingly.
"Chart" shows the pivot table as chart (the groups, without subtotals and totals).
"SQL..." generates the SQL statement that computes the pivot table.
"Copy" copies the pivot table with header to the clipboard, "Save as CSV..." saves it as
CSV file.
"Save as Excel..." saves an Excel workbook (.xlsx, can also be opened with LibreOffice)
with an Excel PivotTable, the pivot table as formulas over the rows (with collapsible
groups and AutoFilter), and the rows themselves.
Fixed: SQL scripts exported for SQLite, HSQLDB, Firebird, Sybase, Informix, Derby or Cloudscape
could not be imported reliably if a text value contained line breaks. Inside such a value,
a line ending with ";" broke the statement, and blank lines, leading and trailing blanks and
lines starting with "--" got lost. Carriage returns (CR) were dropped as well.
For SQLite, HSQLDB, Firebird, Sybase and Informix, line breaks are now exported as
char(10)/char(13) expressions, so each value stays on one line of the script.
The import now keeps multi-line string literals unchanged, including carriage returns. This
also makes scripts exporte
[ Jailer release history ]

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