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Comment on FreeRadius 3.0.x Installation and configuration with Mysql by lalit

make sure you completely removed old openssl and added “allow_vulnerable_openssl” in the “security” subsection of “radiusd.conf”

allow_vulnerable_openssl = ‘CVE-2014-0160′

Comment on FreeRadius 3.0.x Installation and configuration with Mysql by lalit

Check my blog post for fixing this issue:

https://lalitvc.wordpress.com/2014/06/26/freeradius-refusing-to-start-with-libssl-version-openssl-security-advisory-cve-2014-0160/

Comment on FreeRadius 3.0.x Installation and configuration with Mysql by santanablank

Hi
I have the following error message when issuing radiusd -X, any experience? Thanks

Debugger not attached
Refusing to start with libssl version OpenSSL 1.0.1e-fips 11 Feb 2013 0x1000105f (1.0.1e release) (in range 1.0.1 dev – 1.0.1f release)
Security advisory CVE-2014-0160 (Heartbleed)
For more information see http://heartbleed.com
Once you have verified libssl has been correctly patched, set security.allow_vulnerable_openssl = ‘CVE-2014-0160′

Are Your Data Systems a Technology Tar Pit

Are you still running yesterday’s database? Technology and workloads have changed, so it might be time to re-examine your trusty standby. But how do you determine whether the benefits of new data storage technology are worth the cost and effort of evaluating and switching?

Perhaps you think your current data retrieval system is “good enough,” but that “just fine” system might be creating huge technical debt that could come back to haunt you. To keep up with the times, you might need to re-evaluate your database. This could result in a leaner, meaner, and more modern back end that can grow with your business and save you money.

Technology changes rapidly, and data storage technologies are no exception. Innovations such as solid-state drives are creating entirely new sets of tradeoffs and advantages. Meanwhile, the sheer amount of data being collected continues to explode. Older solutions simply cannot find good footing in …

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How to create a rock-solid MySQL database backup & recovery strategy

Have you ever wondered what could happen if your MySQL database goes down?

Although it’s evident such a crash will cause downtime – and surely some business impact in terms of revenue – can you do something to reduce this impact?

The simple answer is “yes” by doing regular backups (of course) but are you 100% sure that your current backup strategy will really come through when an outage occurs? And how much precious time will pass (and how much revenue will be lost) before you get your business back online?

I usually think of backups as the step after HA fails. Let’s say we’re in M<>M replication and something occurs that kills the db but the HA can’t save the day. Let’s pretend that the UPS fails and those servers are completely out. You can’t failover; you have to restore data. Backups are a key piece of “Business Continuity.” Also factor in the frequent need to restore data that’s been …

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Log Buffer #431: A Carnival of the Vanities for DBAs

This Log buffer edition covers Oracle, SQL Server and MySQL blog posts about new features, tips, tricks and best practices.

Oracle:

  • Traditionally, assigning specific processes to a certain set of CPUs has been done by using processor sets (and resource pools). This is quite useful, but it requires the hard partitioning of processors in the system. That means, we can’t restrict process A to run on CPUs 1,2,3 and process B to run on CPUs 3,4,5, because these partitions overlap.
  • Parallel_Degree_Limit, Parallel_Max_Degree, Maximum DOP? Confused?
  • JDeveloper 12c – …
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Backing up and restoring tables named with special characters

Introduction

The names of databases and tables within MySQL are known as identifiers. In the simplest case these identifiers are just strings of certain ASCII characters (the basic Latin letters, the digits 0-9, the dollar sign and the underscore). However, if an identifier is placed in quotes, it can contain any character of the full Unicode Basic Multilingual Plane (except U+0000). We say that a character is a special character if it is permitted in a quoted identifier but not in an unquoted identifier.

MySQL Enterprise Backup (MEB) 3.12.1 introduces support for proper handling of table and database names with special characters. In MEB versions prior to 3.12.1 database and table names were represented as ASCII strings and the same string was used on the command line, internally within MEB and in filenames.  This caused MEB to fail some …

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MySQL User Camp, Bangalore – 26th June, 2015

MySQL User Camp Bangalore, organized on 26th June, 2015, was a huge success with an excellent turnout of 49 attendees. We got many users from different companies, like Flipkart, Snapdeal, CTS, Capgemini, Yahoo, VMware, HCL, Datavail, Bosch, Rakuten and more. The event started on time with a welcome speech by Balasubramanian Kandasamy, (Principal Member Technical Staff, […]

Circular Partitioning scheme for a fully Automated Archival / Purge process with Events

Partitioning The advantage of partitioning is that we can drop / truncate the partitions which is real quick and done in seconds. It does lock the table (metadata lock) during this operation but only for few seconds. That duration depends on the number of pages in use in the buffer pool. With MySQL 5.6 it is possible to exchange the partitions , which helps in moving archived data to another table with similar structure.
   
Fully Automated archival / purge 

Consider a fast growing table which is partitioned to help the queries and help quick archival/purge. The queries if specify the partitioning filter can limit the search to relevant partitions and can considerably reduce the query time. Purging old data to reclaim the storage space can be readily achieved by truncating the old partitions. Archival has multiple techniques but with MySQL 5.6 exchanging the partitions make archival a real …

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Introducing MySQL Performance Analyzer

At Yahoo, we manage a massive number of MySQL databases spread across multiple data centers.

In order to identify and respond to performance issues, we rely on an extremely lightweight and robust web based tool to proactively investigate the issues in them.

The tool has real time tracking features and continually gathers the most important performance metrics, provides visualization and statistical analysis for quickly identifying performance patterns, bottlenecks and possible tuning opportunities.

Features

Lightweight Agentless Java Web Application
Rich User Interface
Gather and Store performance metrics
Detect anomalies and send alerts
Access to Real time Performance data

Open Source

Today, we’re releasing MySQL Performance Analyzer. You can check out the code on …

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