Showing posts with label SQL Azure. Show all posts
Showing posts with label SQL Azure. Show all posts

Friday, May 29, 2020

New Decade - New Versions

Hey there folks,
I wouldn't call 2020 a great year (so far), but some good things are happening:

After a *long* break, I took some time to update all of the Apps to make a leap and get some refreshed features.

Some of the features across all products include:

All:
- SQL Authentication types extended to Azure/AAD
- Contact UI options updated
- Engine/Framework updates
- Launcher Dark Mode support
- Core Engine & Target Framework updated

Server Repository:
- Added support for various Azure AAD Authentication
- Fixed multiple thread-related UI issues
- Fixed column conflict issues
- Modified internal default timeout
- Using Repository Database version 2.6

Logger:
- Removed redundant code
- Better handling of log file writing conflicts

As a reminder, all products are completely free! 

Enjoy!



Thursday, April 6, 2017

SuperBulkCopy (Major) Refresh



SuperBulkCopy (and the command-line sbcp) is one of our newest (free) which comes to replace the traditional usage of both 'BULK INSERT' and 'bcp' with something much more powerful, yet simple.

If you've ever worked with either, trying to turn text-based files into a SQL Table, you are probably quite aware of the various limitations. SuperBulkCopy was written to overcome those limitations and provide a quick working solution.

OK, so that was the quick refresh. Now, there's a new version which just came out, and in addition to the existing abilities, it introduces the following:

- Gzip support! You can now bulk import directly from a .gz file 

This is a big one -> often the input files are compressed and traditional import tools usually require a preliminary step of uncompromising everything to a different folder.
SuperBulkCopy will detect those compressed files and will extract the stream in-memory, quickly importing the uncompressed data.

- Wildcard support! Now supporting wildcard* input files

Have multiple files in a folder which all needs to be imported? No problem -> the wildcard feature will take care of achieving it all in a single run. Whether to the same table or different tables.
If you wish to use different table names, see the item below!

- Output table pattern support! 

This feature helps you customize the output table name. Based on input file names, dates, unique id's and more.
The supported patterns are:
%ifn -> Input Filename
%timestamp -> Timestamp (yyyy-mm-dd-hh-mm-ss)
%date -> yyyy-mm-dd
For example,  if  Output Table Name is "my_table_%ifn", and input file name is "my_file.csv" then the table will be named "my_table_my_file_csv"


- Added a new custom field generation -> adding input filename as an additional field to the output table/file

This new feature allows you to add custom fields into the destination table/s.
The current supported fields are:
- Input Filename
- Input Directory


More cool things to come -- in the meantime, enjoy this new version!



Monday, September 24, 2012

Calling all SQL Azure users!

Today, we've released two new versions for both ClipTable & Log Table Viewer which, for the first time, enable full support for Windows Azure environment, SQL Azure in specific.

What this means is -
In Log Table Viewer - you can now apply the logger solution directly into your SQL Azure database, and use the client directly with the database to explore your log messages

In ClipTable - every table you create on-the-fly using ClipTable's superb import engine, can be created directly on your SQL Azure

Both new versions are available here:

Here's the full changelog for both versions:

Log Table Viewer:
- SQL Azure support. Full compatibility with Azure enables you to apply the logger solution on your Azure servers/databases
- Fixed GMT+0 reporting
v2.0.1.5 Released


ClipTable
- Added an option to generate an INSERT statement (content button next to "Execute")
- Boolean (BIT) datatype support/detection
- Tighter SQL Azure support, including:
  - Automatic recognition
  - Automatic Primary key check when Azure is detected
- Fixed BOOLEAN type on PostgreSQL
v1.0.3.0 Released