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Analyzing a High Rate of Paging

Brendan Gregg

Reads usually have apps waiting on them; writes may not (write-back caching). Hit Ctrl-C to end. ^C C msecs : count distribution 0 -> 1 : 83 | | 2 -> 3 : 20 | | 4 -> 7 : 0 | | 8 -> 15 : 41 | | 16 -> 31 : 1620 | * | 32 -> 63 : 8139 | *| 64 -> 127 : 176 | | 128 -> 255 : 95 | | 256 -> 511 : 61 | | 512 -> 1023 : 93 | |. . ## 4.

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HammerDB for Managers

HammerDB

Given the increasing importance of open source and the widespread use of HammerDB, the TPC adopted HammerDB in 2019 and now hosts the project on GitHub. HammerDB supports 2 workloads derived from TPC specifications to test these different requirements, namely TPROC-C derived from TPC-C for OLTP and TPROC-H derived from TPC-H for OLAP.

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Analyzing a High Rate of Paging

Brendan Gregg

100.00 ^C I'm looking at the r_await column in particular: the average wait time for reads in milliseconds. Reads usually have apps waiting on them; writes may not (write-back caching). Hit Ctrl-C to end. ^C Hit Ctrl-C to end. ^C This is a 64-Gbyte memory system, and 48 Gbytes is in the page cache (the file system cache).

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The State Of Web Workers In 2021

Smashing Magazine

First and foremost, this allows you to implement arbitrarily complex caching behavior, but it has also been extended to let you tap into long-running background fetches, push notifications, and other functionality that requires code to run without an associated page. Case-Study: PROXX. Further Resources. “ Case Study: Moving A Three.js-Based

Games 145
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Declarative recursive computation on an RDBMS

The Morning Paper

The Apache MADLib project is still going strong, and the recent (July 2019) 1.16 A pipeline breaker occurs when the output of one operator must be materialized to disk or transferred over the network, as opposed to being directly communicated from operator to operator via CPU cache, or, in the worst case, via RAM.

Network 44