SQL Performance

OCTOBER 20, 2022

The engine processes the row through parent operators before releasing the shared lock prior to locking and reading the next row. When the engine chooses page-level locking granularity, it takes and holds a shared page lock while processing rows on the current page and then releases the lock right before acquiring a lock on the next page.

Testing 91

Testing Servers Cache Engineering 91

SQL Performance

NOVEMBER 30, 2021

Index_A has 200,000 pages at its leaf level, and Index_B has 1 million pages at its leaf level, so a complete scan of Index_B requires processing five times more pages. The query requires a complete scan of the leaf level of the index to retrieve the query results. The table has 1 million rows. ) ; GO.

Efficiency 54

Efficiency Servers Database Cache 54

Percona

JULY 6, 2023

Bitmap Index Scan The planner chooses this index scan method when the query asks for a large enough amount of data that can leverage the benefits of the bulk read, like the sequential scan, but not that large that actually requires processing ALL the table. Next is the table definition.

Best Practices 87

Best Practices Tuning Database Testing 87

The Morning Paper

NOVEMBER 14, 2019

Sharing is caring caching. Therefore friend groups all end up accessing similar content, a fact that can be exploited in the backend to improve cache utilisation. This safety guard ensures larger changes happen in stages, giving caching systems etc. Backend processing latency stays fairly constant during this operation.

Traffic 42

Traffic Internet Internet Latency 42

The Morning Paper

DECEMBER 8, 2019

The beauty of persistent memory is that we can use memory layouts for persistent data (with some considerations for volatile caches etc. The eagle-eyed reader will have noticed another feature of this work in that quotation: the aim is to create a global address space that spans nodes and processes. The Twizzler programming model.

Hardware 56

Hardware Programming Media Storage 56

SQL Server According to Bob

JANUARY 26, 2017

The process to enable this for a database is described in our documentation. Note: Be sure to set your ‘max server memory’ back to 0 when you are done with this fun exercise. I will now run the Windows Debugger , attach it to the running SQL Server process using public symbols , and set a breakpoint on BCryptEncrypt().

Servers 40

Servers Database Azure Cache 40

All Things Distributed

NOVEMBER 21, 2017

Amazon ElastiCache embodies much of what makes fast data a reality for customers looking to process high volume data at incredible rates, faster than traditional databases can manage. Redis's microsecond latency has made it a de facto choice for caching.

Games 112

Games Retail Latency Education 112

All Things Distributed

OCTOBER 2, 2017

In addition, DynamoDB Accelerator (DAX) a fully managed, highly available, in-memory cache further speeds up DynamoDB response times from milliseconds to microseconds and can continue to do so at millions of requests per second. Auto Scaling is on by default for all new tables and indexes.

Internet 128

Internet Internet AWS Performance 128

The Netflix TechBlog

MARCH 6, 2019

—?Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Encoding is not a one-time process?—?large We have one file?—?the

Media 214

Media Storage Processing Cache 214