This article introduces jQuery.on and jQuery.off as the preferred methods for binding events in jQuery 1.7+.
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Event binding in jQuery 1.7+
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Intrepreting DBQL DelayTime in Teradata 13.10
Starting in Teradata 13.10, there is a single delay queue for all throttles. This means that queries delayed by system throttles will reside in the same queue as queries delayed by workload throttles. In earlier releases, delay queues were set up independently by type of throttle, and each workload throttle had its own dedicated queue.
Bringing together all delayed objects into a single queue streamlines the entire throttling experience and makes it easier and more accurate to manage internally. However, as a side-effect, the DelayTime field in DBQL needs a second look. DelayTime takes requires slightly different interpretation in 13.10 than you gave it in earlier releases.
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Utility Session Management - It's Inside the Database in Teradata 13.10! (UPDATED)
How do you pick the number of sessions to assign to your utility jobs? Chances are you guess. In Teradata 13.10 the task of deciding the number of sessions has been moved inside the database, meaning one less thing for you to worry about. Read on for a quick intoduction to how this feature works.
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New opportunities for statistics collection in Teradata 14.0
Teradata 14.0 offers some very helpful enhancements to the statistics collection process. This posting discusses a few of the key ones, with an explanation of how these enhancements can be used to streamline your statistics collection process and help your statistics be more effective.
For more detail on these and other statistics collection enhancements, please read the orange book titled Teradata 14.0 Statistics Enhancements, authored by Rama Korlapati, Teradata Labs.
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Common UDF cross Teradata and Hadoop -- One Software for Two Platforms
It is big data era. but we do not have enough big application.
This tool -- 'Common UDF' -- provides a code builder for both Teradata table UDF and Hadoop Pipes UDF based on the same core code.
By this way, we can implement application for both Teradata and Hadoop by the same code.
This topic will be disucssed in Teradata PARTNERS 2012 with Session ID 1987,
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TINSTAAFL: Tapping into Volunteered Location Data
Ever wish they would fill-up the pothole quicker? Municipalities are creating apps to allow the crowd to give them up-to-date notification of problems in the street. This is in addition to the automated systems that tap into the stream of GPS and cell phone signals to monitor for real-time traffic issues. “The New Jersey center offers a glimpse at the power of "big data," a term for techniques to gather reams of computerized information points, analyze them and spit
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TD 14.0 - The Other Partitioning Enhancements
In my blog entries "Teradata Columnar" and "9.2 Quintillion? What's that all about?", I discussed column partitioning and the increased partition limit that are introduced in TD 14.0. But there are other TD 14.0 partitioning enhancements that you may find useful. The following provides a brief introduction to these enhancements; for more detailed information, see the Orange Book: Increased Partition Limit and other Partitioning Enhancements, the Orange Book: Teradata Columnar, and the TD 14.0 manuals.
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Zen Coding
First off, I am not one with anything, and I don’t think anyone would appreciate a peek inside my mind. That being said and irrelevant I wanted to do a quick post on Zen coding.
Zen coding is not new. Unfortunately, there are an infinite number of things that interest me but a finite amount of time, so I am just now getting around to using it. However, I really regret putting off learning Zen coding for this long.
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How to simplify your statistics collection with a queue table
When you start designing a statistics collection process topics include:
- stats on some tables are more important than others.
- some stats on a single table are more important than others.
Both problems involve some kind of prioritization process, which finally leads to a sorted list of COLLECT STATS statement (See Marcio Moura's blog When is the right time to refresh statistics?)
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Are AMP Worker Tasks used by FastExport in Response Mode?
I gave a presentation on AMP worker tasks at the Teradata User Group conference last week in Washington DC. A question came from someone in the audience concerning FastExport jobs in response mode, and whether or not they were holding AMP worker tasks. This post addresses that question.
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Extended Object Names in the .NET Data Provider
In Teradata Database Release 14.10 object names have been lengthened from 30 bytes of a Latin or KANJISJIS character set to 128 Unicode characters. This capability supports a richer set of characters to compose object names. While using a session character set that may contain limitations due to the supported set of characters, Unicode delimited identifiers are supported in all SQL text statements. Please see the SQL Data Types and Literals manual for information on Unicode delimited identifiers.
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Large and Cheap: 3D Printing
I’ve written a few blogs on the future of 3D printing and its impact on manufacturing and data analytics in the future, or as Chris Anderson stated, “The long tail of things.” But, up to now, 3D printing has been expensive and mostly for small objects.
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The Whole World is Watching
One of the more infamous data usage stories over the last week concerned the removal of the iPhone app, “Girls Around Me.” This app aggregated Foursquare and Facebook data via their respective APIs to generate a map, with pictures, of women in the immediate vicinity that had checked in their locations using Foursquare. Note that this is not the only app that uses gender specific Foursquare location data, but it was the first to also automatically pul
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Database Tasks that Run on the Parsing Engine
Most of us are aware of AMP worker tasks, and some of us are even obsessive about not running out of this finite resource. But that’s on the AMP. What about the tasks supporting user work on the parsing engine (PE)? Should we be just as vigilant about what’s happening with tasks at the PE level?
Not really. Here’s why.
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Elevating Parsing Priority
For sites using Teradata Active System Management (TASM), workload classification determines which workload will manage the AMP activity when a query executes. Workload classification takes place after all the parsing engine (PE) work for a query has completed, including optimization.
But at what priority does the parsing happen? And can the priority of parsing be raised?
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Speed up Large Object (LOB) retrieval with CommandBehavior.SequentialAccess
Teradata Database supports Inline and Deferred Large Object Retrieval modes. The LOB retrieval modes control the content of rows and accessibility of LOB columns.
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The Future of Big Data: the Answer is Not “42”
“42” is the Answer to the Ultimate Question of Life, the Universe, and Everything. But for Big Data, the answer is simply “everything.”
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Big Data Example: Health
Continuing on the “42” theme, Chris Anderson drills done on the impact of big data on health and agriculture.
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Using the ResUsageSAWT table to Monitor AMP Worker Tasks
As you approach full use of your AMP worker tasks, monitoring in-use counts becomes a more important exercise. The ResUsageSAWT (SAWT) table provides a wealth of information about AWT usage when you need to dive into details.
ResUsageSAWT provides you with several categories of information, including AMP worker task usage and high-water marks broken out by work type, as well as message queue depth/ flow control frequency metrics.
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Statistics Collection Recommendations – Teradata 14.0
Statistical information is vital for the optimizer when it builds query plans. But collecting statistics can involve time and resources. By understanding and combining several different statistics gathering techniques, users of Teradata can find the correct balance between good query plans and the time required to ensure adequate statistical information is always available.
This recently-updated compilation of statistics collection recommendations are intended for sites that are on any of the Teradata 14.0 software release levels. Some of these recommendations apply to releases earlier than Teradata 14.0, however some rely on new features available only in Teradata 14.0.
Contributors: Carrie Ballinger, Rama Krishna Korlapati, Paul Sinclair, February 12, 2013
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