cmnUNT | Begin ad tag cmnUNT | End ad tag Sign in | Sign up Browse Charts Submit Apps Blog Artists Tracks over 291,000 songs and 101,000 artists Hip-Hop and R&B Electronic / Dance Rock, Pop Soul, Funk Reggae Jazz Classical New to WhoSampled? Watch our video! Hot Artists Top Rated Latest Submissions Mark Ronson feat. Bruno Mars - Uptown Funk Big Sean feat. E-40 - I Don't Fuck With You Nicki Minaj feat. Drake and Lil Wayne - Truffle Butter Drake - 0 to 100 / the Catch Up Kendrick Lamar - Bitch, Don't Kill My Vibe Kanye West 1378 Samples Drake 485 Samples J. Cole 246 Samples Daft Punk 276 Samples Kendrick Lamar 293 Samples see all hot artists Audio Two - Top Billin' The Crooklyn Dodgers - Return of the Crooklyn Dodgers DJ Shadow - Building Steam With a Grai...
Try it out Features About Jobs Blog Try it out Sign In Periscope plugs directly into your databases and lets you run, save and share analyses over billions of data rows in seconds. Sign up Speed up your analyses by up to 10,000X with Periscope's statistical sampling, pre-emptive in-memory caching, and other techniques. Periscope keeps all your charts and dashboards up to date all the time. Never run the same query twice. Periscope plugs directly into your database. No ETL, no uploading, no copying, no hassle. Learn more Matthew Perkins Product Manager, The Climate Corporation “At Climate we use Periscope to help us quickly find out what farmers are doing with our product. Our decisions are quick and data-driven because Periscope gives us the ability to instantly generate insights from SQL queries.” Emily Greer ...
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<![endif] Jump to navigation Start Header Wrapper Start Click Menu End Click Menu Start Header Start Logo End Logo Start Main Nav Products Start Rich Nav Wrapper Start Rich Nav Content Our supercomputing, storage and analytics products are designed to help you tackle the most challenging problems in science, engineering and business. Learn More Computing XC Series Supercomputers CS Series Cluster Supercomputers Storage Sonexion Scale-out Lustre Storage System Tiered Adaptive Storage Analytics Urika-XA Extreme Analytics Platform Urika-GD Graph Discovery Appliance End Rich Nav Content End Rich Nav Wrapper Solutions Start Rich Nav Wrapper Start Rich Nav Content Cray solutions enable accelerated discovery and problem solving across a range of industries, applications and budgets. Learn More Earth Sciences Life Sciences Energy Go...
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Skip to content Sign up Sign in This repository Explore Features Enterprise Blog Star 4 Fork 1 nijotz / nomad /.container /.repohead Code Issues Pull Requests Pulse Graphs HTTPS Subversion You can clone with HTTPS or Subversion . Download ZIP /.repository-sidebar Permalink blob contrib key: blob_contributors:v21:de0a53ca3c63d1848ea05b895e597a8e branch: master Switch branches/tags /.select-menu-header Branches Tags /.select-menu-tabs /.select-menu-filters master /.select-menu-item Nothing to show /.select-menu-list Nothing to show /.select-menu-list /.select-menu-modal /.select-menu-modal-holder /.select-menu nomad / cfgs / inputrc nijotz Feb 23, 2012 vi mode for readline 1 contributor nijotz...
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PostgreSQL Tutorial Prev Chapter 1. Introduction Next A Short History of Postgres The Berkeley Postgres Project Implementation of the Postgres DBMS began in 1986. The initial concepts for the system were presented in [STON86] and the definition of the initial data model appeared in [ROWE87]. The design of the rule system at that time was described in [STON87a]. The rationale and architecture of the storage manager were detailed in [STON87b]. Postgres has undergone several major releases since then. The first "demoware" system became operational in 1987 and was shown at the 1988 ACM-SIGMOD Conference. We released Version 1, described in [STON90a], to a few external users in June 1989. In response to a critique of the first rule system ([STON89]), the rule system was redesigned ([STON90b]) and Versio...
Hacker News new | comments | show | ask | jobs | submit login anotherevan 2 hours ago | link | parent I just recently heard a story that went the other way. An engineer of elevator systems would spend hours doing all his calculations by hand, vowing it was too complicated and important to trust to a computer. (Yeah.) The programmers in the company assured him they could write a program to do the calculations for him, which they did. He never trusted the results though, insisting that the program was not producing correct results. One of the programmers realised that he didn't trust it because the program spat out the results almost instantly. It was too fast, it had to be wrong. So he stuck a twenty second sleep in before the output, told the engineer he found the problem and fixed it. The engineer now felt the results were correct. (Aside: I don't think I would want to get in a lift ...
Search Documentation: Home → Documentation → Manuals → PostgreSQL 9.2 This page in other versions: 9.0 / 9.1 / 9.2 / 9.3 / 9.4 | Development versions: devel | Unsupported versions: 8.1 / 8.2 / 8.3 / 8.4 PostgreSQL 9.2.9 Documentation Prev Up Chapter 18. Server Configuration Next 18.7. Query Planning 18.7.1. Planner Method Configuration These configuration parameters provide a crude method of influencing the query plans chosen by the query optimizer. If the default plan chosen by the optimizer for a particular query is not optimal, a temporary solution is to use one of these configuration parameters to force the optimizer to choose a different plan. Better ways to improve the quality of the plans chosen by the optimizer include adjusting the planer cost constants (see Section 18.7.2 ), running ANALYZE...
Search Documentation: Home → Documentation → Manuals → PostgreSQL 9.4 This page in other versions: 9.0 / 9.1 / 9.2 / 9.3 / 9.4 | Development versions: devel | Unsupported versions: 8.1 / 8.2 / 8.3 / 8.4 PostgreSQL 9.4.0 Documentation Prev Up Chapter 18. Server Configuration Next 18.7. Query Planning 18.7.1. Planner Method Configuration These configuration parameters provide a crude method of influencing the query plans chosen by the query optimizer. If the default plan chosen by the optimizer for a particular query is not optimal, a temporary solution is to use one of these configuration parameters to force the optimizer to choose a different plan. Better ways to improve the quality of the plans chosen by the optimizer include adjusting the planer cost constants (see Section 18.7.2 ), running ANALYZE...
DjangoCon Europe, 2nd to 7th June 2015, in Cardiff, Wales. 6 days of talks, tutorials and code. We're sorry to announce that with immediate effect we have been forced to suspend ticket sales for DjangoCon Europe 2015 - temporarily . will an explanation of what has happened and what we're doing to work around it Many apologies, and thanks for your patience, from the DjangoCon Europe 2015 team. Home Welcome Getting to Cardiff Things you need to know Diversity Accessibility Social responsibility Proposals Code of conduct Sponsorship Sponsorship terms Facts News & events Contact After we made our plans and our announcements, One Direction announced their own mega-event in Cardiff - right in the middle of DjangoCon Europe. One Direction are a hugely popular boy band, and they’ve decided to hold the only two UK d...
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