dbMigration .NET is a simple, easy and intuitive multiple database migration tool, With it you can easily migrate schema and data between different databases without complicated procedure. Supported databases: PostgreSQL, SQL Server, SQL Azure, LocalDB, MySQL, Oracle, IBM DB2, Informix, HP Vertica, NuoDB, Teradata, Sybase ASE, Firebird, SQLite, SQLCe, Access, dBase, FoxPro...etc.

Major features:

• Automatic column matching
• SQL preview
• Filter source data
• Show target results
• Integrated with Database .NET
• BLOB type support
• Command-Line support

For more information please visit http://fishcodelib.com/DBMigration.htm

SQL Relay 0.62 is now generally available.

SQL Relay is a connection pool, load balancer, query router, and database proxy. It supports many databases, including PostgreSQL and provides API's for most popular programming languages and database abstraction layers.

Enhanced alpha release of new data analytics application available.

2ndQuadrant is pleased to announce further enhancements to 2UDA (pronounced 'Tudor'), our new data analytics application suite currently under development, and available to try now.

This second alpha release brings a number of enhancements and product updates, based on user feedback and the continuous development of the core applications 2UDA unifies:

• PostgreSQL server daemon is now an OS service (named "org.2ndQ.2UDA.postgres-9.5") on OS X
• PostgreSQL server daemon is now an OS service (named "2uda-postgresql-9.5") on Linux (tested on Ubuntu 14.04, CentOS 7, openSUSE 13.2, & Fedora 22)
• Windows installer is now certified from Microsoft and signed digitally
• Latest PostgreSQL 9.5 after its Alpha 2 release has been included. Details of changes are listed
• Latest Orange 3 has been included. This version uses the new tablesample patch in PostgreSQL rather than relying on blocksample extension.
• Latest LibreOffice 5 has been included.
• The installer now checks for server readiness before loading sample database. This prevents a bug where sample data got loaded while the server was still consolidating its connections.
• Other small bugs and tweaks.

Download a copy now and let us know what you think: http://bit.ly/2UDA-A2

CitusDB 4.1, which is based on the new PostgreSQL 9.4.4 release, is now GA. CitusDB is a scalable PostgreSQL database with massively parallel query processing for real-time Big Data applications. The 4.1 release is focused on improving usability and adding some of the most requested SQL features.

PostgreSQL Full Text Search for Drupal has been launched as a project. This project will allow the use of full Tsearch2 capabilities within Drupal-based websites. Currently supported features include:

• Create and maintain PostgreSQL FTS indexes (also called field indexes in this module)
• Indexes are based on columns and instance combinations
• Indexes maintain themselves (act on CRUD actions of field data)
• Basic Views integration (full text search filter handler per index)

If you use Drupal with PostgreSQL, join the project to help out.

The PostgreSQL Global Development Group announces today that the second alpha release of PostgreSQL 9.5 is available for download. This release contains previews of all of the features which will be available in the final release of version 9.5, although some details will change before then. Please download, test, and report what you find.

Changes Since Alpha1

Many bugs and issues reported by our users and contributors have been fixed since the release of Alpha1. These include:

• Make pg_rewind work with symlinks
• Fix several issue with locking
• Numerous changes and improvements to Row Level Security
• Make pg_dump back up RLS policies
• Correct some oversights in BRIN indexes
• Fix behavior of JSON negative array subscripts
• Correct strxfrm() behavior on buggy platforms
• Multiple documentation changes and additions

If you reported an issue while testing PostgreSQL 9.5, please download Alpha2 and test whether that issue has been fixed. If you have not yet tested version 9.5, now is the time for you to help out PostgreSQL development.

Alpha and Beta Schedule

This is the alpha release of version 9.5, indicating that some changes to features are still possible before release. The PostgreSQL Project will release 9.5 another alpha or beta in September, and then periodically release alphas or betas as required for testing until the final release in late 2015. For more information, and suggestions on how to test the alpha and betas, see the Beta Testing page.

Full documentation and release notes of the new version is available online and also installs with PostgreSQL. Also see the What's New page for details on some features.

Links

• Downloads Page
• Alpha Testing Information
• 9.5 Alpha Release Notes
• What's New in 9.5

Devart released the new version of ADO.NET data provider dotConnect for PostgreSQL. The new version has a support for the latest Visual Studio 2015.

Now the product is available for using in projects targeted for the newest .NET Framework 4.6 and getting benefits from the latest Visual Studio features, such as shared projects, new and updated debugging and diagnostics tools, and many others.

The product has free and commercial editions both. To learn more about this release visit dotConnect for PostgreSQL homepage.

pg-shard is an open source extension for sharding and scaling out PostgreSQL across a cluster of high availability servers. The version 1.2 release is now available for download on the Citus Data pg-shard GitHub page.

cstore_fdw is an open source columnar store extension which reduces the data storage footprint and disk I/O for PostgreSQL databases. The version 1.3 release of cstore_fdw is now available at github.com/citusdata/cstore_fdw. Release notes are available on the Citus Data blog.

pgCluu 2.4 released

PostgreSQL Cluster Utilization

pgCluu is a Perl program used to perform a full audit of a PostgreSQL Cluster performances. It is divided in two parts, a collector used to grab statistics on the PostgreSQL server using psql and sar, a reports builder that will generate all HTML and charts output.

This release is a maintenance release that fix some issues. There's also some new interesting reports:

• Transfers per second (read/write/both) on all devices from sar -b
• Transfers per second for each device from sar -d .
• Number of tasks created per second
• Number of context switches per seconds.
• Improve pg_stat_statement report by adding all shared block stats and read/write I/O timing per query when track_io_timing is enabled.
• Add device with highest tps on overall system information.

and useful features:

• Add --capture mode to pgcluu_collectd to be be able to build a snapshot of the PostgreSQL instance and exit. pgCluu will automatically adapt the report to this capture mode. It will use a temporary directory /tmp/pgcluu_capture to generate a tarball /tmp/pgcluu_capture.tar.gz containing the capture.
• Add pgCluu logo and ico to the html output.
• Add --charset option to be able to change the html charset, default: utf8.
• Allow regular expression in database list available in reports, for example: with --db-only "p.*", only database beginning with p will be reported.
• Allow pgcluu to parse and compute statistics from gzip compressed files.
• pgcluu will not stop anymore if the sar file is not found, it will only show a warning message and continue.

This release also adds -r | --rotate-daily and -R | --rotate-hourly options to pgcluu_collectd be able to rotate statistic files on a daily or hourly basis. You can use -z or --compress option to compress rotated data files.

There also some code relative to next coming major release that will be used to allow a full incremental mode and a temporal selection into the collected statistics from a CGI program. This code enable caching (option -C or --cache) by dumping statistics stored in memory into binary files. With those files, data files can be removed (automatically with option -c or --clean) and report can be build later from them. This is not really useful now but this s the first stage to build incremental and cumulative reports.

See ChangeLog for a complete list of changes and bug fixes.

The goal of this project is to provide a complete PostgreSQL auditing tool that don't need any dependency to be run easily to audit a local or remote server.

If you just have a sar output file, pgCluu can be use to draw graphs about the system utilization only.

pgCluu is an original collection of tools built during my work at Dalibo. Those tools are published under the PostgreSQL License to be shared, any one is welcome to contribute.

For more information take a look at pgcluu.darold.net

View a sample report at pgcluu.darold.net/example/index.html

About:

pgCluu is created and maintained by Gilles Darold.

• Web/Demo site: pgcluu.darold.net
• Download: github.com/darold/pgcluu/releases
• Development: github.com/darold/pgcluu
• Documentation: github.com/darold/pgcluu/blob/master/README

2ndQuadrant is pleased to announce the alpha release of a new client platform for business intelligence - 2UDA (pronounced 'tudor').

2UDA is a data analytics application suite that unifies databases, spreadsheets, data mining and data visualisation in one seamless desktop installer.

Available to download now, 2UDA is packaged and ready to install with a choice of operating systems: Linux, OSX and Windows at http://2ndquadrant.com/2uda

Although primarily aimed at Data Analysts and Data Scientists, we encourage trial participation from developers and DBAs at this stage of the product development, to help us improve the function and user experience for all users.

More details on 2UDA at http://2ndquadrant.com/2uda

Devart team announced a release of a bran-new product - ODBC Driver for PostgreSQL. It provides high-performance and feature-rich connectivity solution for ODBC-based applications to access PostgreSQL databases from Windows, Linux, MacOS, both 32-bit and 64-bit. Full support for standard ODBC API functions and data types implemented in our driver makes interaction of your database applications with PostgreSQL fast, easy and extremely handy.

The list of key features include:

• Direct Connection. Database applications based on our solution get an opportunity to establish connection to PostgreSQL in Direct Mode. Direct Mode gives your applications an unrivalld advantage - connection to PostgreSQL databases directly via TCP/IP avoiding PostgreSQL Client. That improves performance of your applications, their quality, reliability and especially the deployment process, since there is no need to supply additional client software together with your application.

• Development Platforms Variety. ODBC driver for PostgreSQL doesn't limit your choice of the development platform and environment. The driver installations are available for various operational systems and platforms. The current version supports Windows, Linux, Mac OS X, both 32-bit and 64-bit. So you can develop both 32-bit and 64-bit cross-platform applications.

• ODBC Conformance. Our ODBC driver provides full support for common ODBC interface - ODBC Data Types support and ODBC API Functions support. In addition, we provide support for Advanced Connection String parameters. Thus allowing any desktop and web applications to connect to PostgreSQL from various environments and platforms, that support ODBC.

• DB Compatibility. Our driver is compatible with major and the latest PostgreSQL server versions since 7.1 up to 9.4.

Paris, France - July 11th, 2015

DALIBO is proud to announce the release of pgBadger 7.1.

pgBadger is a PostgreSQL performance analyzer, built for speed with fully detailed reports based on your PostgreSQL log files.

This new release fixes some issues and adds a new report:

• Distribution of sessions per application

It also adds Json operators to SQL Beautifier.

For the complete list of changes, please checkout the release note on the changeLog

IMPORTANT: Note that new official releases must now be downloaded from GitHub and no more from SourceForge. Download at github.com/dalibo/pgbadger/releases

===== Links & Credits =====

DALIBO would like to thank the developers who submitted patches and the users who reported bugs and feature requests, especially Olivier Schiavo, Keith Fiske, Hubert Depesz Lubaczewski, Tom Burnett, Steve Crawford, Cyril Bouthors and Nicolas Thauvin.

pgBadger is an open project. Any contribution to build a better tool is welcome. You just have to send your ideas, features requests or patches using the GitHub tools or directly on our mailing list.

Links :

• Download : dalibo.github.io/pgbadger
• Mailing List : listes.dalibo.com/cgi-bin/mailman/listinfo/pgbagder

About pgBadger :

pgBagder is a new generation log analyzer for PostgreSQL, created by Gilles Darold (also author of ora2pg, the powerful migration tool). pgBadger is a fast and easy tool to analyze your SQL traffic and create HTML5 reports with dynamics graphs. pgBadger is the perfect tool to understand the behavior of your PostgreSQL servers and identify which SQL queries need to be optimized.

Docs, Download & Demo at dalibo.github.io/pgbadger

About DALIBO :

DALIBO is the leading PostgreSQL company in France, providing support, trainings and consulting to its customers since 2005. The company contributes to the PostgreSQL community in various ways, including : code, articles, translations, free conferences and workshops

Check out DALIBO's open source projects at dalibo.github.io

PipelineDB, an open-source relational streaming-SQL database, publicly released version (0.7.7) today and made the product available as open-source via their website and GitHub. PipelineDB is based on, and is wire compatible with, PostgreSQL 9.4 and has added functionality including continuous SQL queries, probabilistic data structures, sliding windowing, and stream-table joins. For a full description of PipelineDB and its capabilities see their technical documentation.

PipelineDB’s fundamental abstraction is what is called a continuous view. These are much like regular SQL views, except that their defining SELECT queries can include streams as a source to read from. The most important property of continuous views is that they only store their output in the database. That output is then continuously updated incrementally as new data flows through streams, and raw stream data is discarded once all continuous views have read it. Let's look at a canonical example:

   CREATE CONTINUOUS VIEW v AS SELECT COUNT(*) FROM stream

Only one row would ever physically exist in PipelineDB for this continuous view, and its value would simply be incremented for each new event ingested.

For more information on PipelineDB as a company, product and for examples and benefits, please check out their first blog post on their new website.

The PostgreSQL Global Development Group announces that the alpha release of PostgreSQL 9.5, the latest version of the world's leading open source database, is available today. This release contains previews of all of the features which will be available in the final release of version 9.5, although some details will change before then. Please download, test, and report what you find.

Major Features

Among new major features available for testing in this alpha are:

• Block-Range Indexes (BRIN) which enable compact indexing of very large tables
• Large speed improvements in in-memory sorting and hashing
• Automated management of transaction log size
• INSERT ON CONFLICT UPDATE, otherwise known as "UPSERT"
• Grouping Sets, CUBE and ROLLUP analytic operations
• Row-Level Security (RLS) support
• More JSONB data manipulation functions and operators
• Added the pg_rewind tool and other high availability improvements to replication
• Multiple enhancements to Foreign Data Wrappers, including IMPORT FOREIGN SCHEMA
• Large increases in multi-core and large memory scalability

These features expand the capabilities of PostgreSQL, and introduce new syntax, APIs, and management interfaces. Of course, there are many more features detailed in the release notes, some of which may be more exciting to you than the above. Please test every one you can.

Help Test for Bugs

As with other major releases, the improvements in PostgreSQL include changes to large amounts of code. We count on you to test the altered version with your workloads and testing tools in order to find bugs and regressions before the release of PostgreSQL 9.5.0. In addition to testing that the new features work as documented, consider testing the following:

• Do the improvements in sorting and general performance actually increase performance in your application?
• Do our code changes cause PostgreSQL to not function on your platform?
• We've made changes to the transaction log, including compression. Does failover and disaster recovery still work as expected?
• Do the changes in operator precedence change the results of your queries?
• Does RLS work correctly to secure your data?

As this is an Alpha, changes to database behaviors, feature details, and APIs are still possible. Your feedback and testing will help determine the final tweaks on the new features, so test soon. The quality of user testing helps determine when we can make a final release.

Alpha and Beta Schedule

This is the alpha release of version 9.5, indicating that some changes to features are still possible before release. The PostgreSQL Project will release 9.5 beta 1 in August, and then periodically release additional betas as required for testing until the final release in late 2015. For more information, and suggestions on how to test the alpha and betas, see the Beta Testing page.

Full documentation and release notes of the new version is available online and also installs with PostgreSQL. Also see the What's New page for details on some features.

Links

• Downloads Page
• Alpha Testing Information
• 9.5 Alpha Release Notes
• What's New in 9.5

I am happy to announce the new major release of Database .NET v16, an innovative, powerful and intuitive multiple database management tool, With it you can Browse objects, Design tables, Edit rows, Export data and Run queries with a consistent interface.

Free, All-In-One, Portable, Single executable file and Multi-language.

Major New features from version 14.8 to 16.0:

• Added Group by Connection
• Added Single-click button
• Added Displaying Data Types on the column header
• Added Search Connection Explorer
• Added Importing and Exporting specific fields
• Added Changing the column order of an existing table
• Added Displaying Data Types on the column header
• Support for SQL Decimal handling
• Generating scripts: Auto Order by referenced tables
• New AutoComplete and IntelliSense
• New Connection Properties
• ...and more

The new version is immediately available for download.

Introducing HypoPG

Paris, June 24 2015

DALIBO is proud to present the first release of HypoPG, an extension that adds hypothetical indexes in PostgreSQL.

An hypothetical index is an index which doesn't exists on disk. It's thefore almost instant to create and doesn't add any IO cost, wether at creation time or at maintenance time. The goal is obviously to check if an index is useful before spending many time, I/O and disk space to create it.

With this extension, you can create hypothetical indexes, and then with EXPLAIN check if PostgreSQL would use them or not.

" What if I had an Index on this ? "

Did you ever wonder how an index would increase the performances of your server, but you couldn't afford the time to create it on disk just for the sake of trying ?

Here's how HypoPG can help:

First let's create a simple use case:

# CREATE TABLE testable AS SELECT id, 'line ' || id val FROM generate_series(1,1000000) id;
# ANALYZE testable ;

Now let's install HypoPG and create an hypothetical index on this new table

# CREATE EXTENSION hypopg;
# SELECT hypopg_create_index('CREATE INDEX ON testable (id)');

You can now use EXPLAIN (without ANALYZE) to check if PostgreSQL would use that index !

# EXPLAIN SELECT * FROM testable WHERE id = 1000 ;
                                          QUERY PLAN
-----------------------------------------------------------------------------------------------
 Index Scan using 41079_btree_testable_id on testable  (cost=0.05..8.07 rows=1 width=15)
   Index Cond: (id = 1000)
(2 rows)

Yay ! If there were an index on the 'id' column, PostgreSQL would take advantage of it !

Links

• Repository : github.com/dalibo/hypopg
• Install with PGXN : pgxn.org/dist/hypopg

About DALIBO :

DALIBO is the leading PostgreSQL company in France, providing support, trainings and consulting to its customers since 2005. The company contributes to the PostgreSQL community in various ways, including : code, articles, translations, free conferences and workshops

Check out DALIBO's open source projects at http://dalibo.github.io.

http://www.dalibo.com

2015-06-12 Update Release

The PostgreSQL Global Development Group has released an update to all supported versions of our database system, including 9.4.4, 9.3.9, 9.2.13, 9.1.18 and 9.0.22. This release primarily fixes issues not successfully fixed in prior releases. It should be applied as soon as possible all users of major versions 9.3 and 9.4. Other users should apply at the next available downtime.

Crash Recovery Fixes

Earlier update releases attempted to fix an issue in PostgreSQL 9.3 and 9.4 with "multixact wraparound", but failed to account for issues doing multixact cleanup during crash recovery. This could cause servers to be unable to restart after a crash. As such, all users of 9.3 and 9.4 should apply this update as soon as possible.

Servers previously upgraded to PostgreSQL 9.3 using pg_upgrade, even those servers now running PostgreSQL 9.4 due to another upgrade, may experience an immediate autovacuum of all tables after applying this update. For large databases, consider a controlled manual VACUUM, before updating, to better regulate the performance consequences of this critical maintenance. Please see the release notes for details.

Other Fixes and Improvements

In addition to the above, a few other minor issues were patched in this release. These fixes include:

• Prevent failure to invalidate relation cache init file
• Avoid deadlock between new sessions and CREATE/DROP DATABASE
• Improve query planning for semi-joins and anti-joins

Cumulative Releases

All PostgreSQL update releases are cumulative. As this update release fixes a number of problems inadvertently introduced by fixes in earlier update releases, we strongly urge users to apply this update, rather than installing less recent updates that have known issues. As this update release closes multiple known bugs with multixact handling, the PostgreSQL Project does not anticipate additional update releases soon.

Updating

As with other minor releases, users are not required to dump and reload their database or use pg_upgrade in order to apply this update release; you may simply shut down PostgreSQL and update its binaries. Users who have skipped multiple update releases may need to perform additional post-update steps; see the Release Notes for details. See also the above note for users who used pg_upgrade with PostgreSQL version 9.3.

Links:

• Download
• Release Notes

Submit your talk on the PGConf Silicon Valley website now. 50 minute breakout and 3 hour tutorial sessions available. November 17-18, 2015 at the South San Francisco Convention Center.

2015-06-04 Update Release

The PostgreSQL Global Development Group has released an update to all supported versions of our database system, including 9.4.3, 9.3.8, 9.2.12, 9.1.17 and 9.0.21. This release primarily fixes a startup failure problem created by the prior update release, and should be installed by all users who applied that release.

File Permissions Fix

The 2015-05-22 update release added an anti-corruption step which will fsync all files in the data directory on restart after a crash. This caused PostgreSQL to fail to start if it encountered any file permissions issues. The problem is now fixed. Find out more on the PostgreSQL wiki.

Other Fixes and Improvements

In addition to the above, a few other minor issues were patched in this release. These fixes include:

• Have pg_get_functiondef() show the LEAKPROOF property
• Make pushJsonbValue() function push jbvBinary type
• Allow building with threaded Python on OpenBSD

Update Release Schedule

The PostgreSQL developers are currently working hard to fix a few known issues discovered in the past couple of weeks. As such, we expect to release another update once a solution for those issues is complete and tested. The PostgreSQL project apologizes for any inconvenience from the frequent releases. We are prioritizing getting important fixes to our users as soon as possible.

Updating

As with other minor releases, users are not required to dump and reload their database or use pg_upgrade in order to apply this update release; you may simply shut down PostgreSQL and update its binaries. Users who have skipped multiple update releases may need to perform additional post-update steps; see the Release Notes for details.

Links:

• Download
• Release Notes