Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| here | 4 | — | 0 | 5 | 5 100% |
| Aaron Bertrand | 2 | — | 0 | 2 | 1 50% |
| Minimizing the impact of DBCC CHECKDB : DOs and DON’Ts | 2 | — | 0 | 2 | 2 100% |
| https://sqlperformance.com/2013/03/io-subsystem/chunk-deletes | 2 | — | 0 | 2 | 2 100% |
| SQLPerformance | 2 | — | 0 | 93 | 93 100% |
| this blog post on breaking large delete operations into chunks | 1 | — | 0 | 1 | 1 100% |
| should be avoided | 1 | — | 0 | 1 | 1 100% |
| simple parameterization | 1 | — | 0 | 1 | 1 100% |
| https://sqlperformance.com/2014/03/t-sql-queries/updated-plan-explorer-demo-kit | 1 | — | 0 | 1 | 1 100% |
| Tim Radney - Tuning: A Good Place to Start | 1 | — | 0 | 1 | 1 100% |
| outperforms | 1 | — | 0 | 1 | 1 100% |
| Erin Stellato gives us a simple demonstration of why parameterization is important for performance | 1 | — | 0 | 1 | 1 100% |
| buradaki | 1 | — | 0 | 1 | 1 100% |
| my post here | 1 | — | 0 | 1 | 1 100% |
| dedicated guide by Aaron Bertrand | 1 | — | 0 | 1 | 1 100% |
| Itzik Ben-Gan digs into some of the performance considerations around nested derived tables | 1 | — | 0 | 1 | 1 100% |
| post | 1 | — | 0 | 1 | 1 100% |
| Follow-Up #1 | 1 | — | 0 | 1 | 1 100% |
| https://sqlperformance.com/2019/04/t-sql-queries/row-pattern-recognition-in-sql | 1 | — | 0 | 1 | 1 100% |
| aren’t as pronounced | 1 | — | 0 | 1 | 1 100% |
| lock escalation thresholds | 1 | — | 0 | 1 | 1 100% |
| this | 1 | — | 0 | 1 | 1 100% |
| Itzik Ben-Gan takes us through some of the complexities of NULL | 1 | — | 0 | 1 | 1 100% |
| 10 for 10: My 10 Favorite SQLPerformance Posts by Aaron Bertrand | 1 | — | 0 | 2 | 2 100% |
| SQL Performance | 1 | — | 0 | 1 | 1 100% |
| long article on troubleshooting PAGEIOLATCH_XX waits on sqlperformance.com | 1 | — | 0 | 1 | 1 100% |
| Itzik Ben-Gan has started a series of articles on optimizing queries which use grouping and aggregating with a reverse-engineering of the stream aggregate algorithm | 1 | — | 0 | 1 | 1 100% |
| Aaron Bertrand has a great post outlining many of the shortcomings | 1 | — | 0 | 1 | 1 100% |
| Paul White digs into how the cardinality estimator works with COUNT aggregations containing HAVING clauses | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 1 | 1 100% | |
| Testing DML Statements for In-Memory OLTP | 1 | — | 0 | 1 | 1 100% |
| The first post in this series is on non-deterministic behavior | 1 | — | 0 | 1 | 1 100% |
| read Itzik's explanation | 1 | — | 0 | 1 | 1 100% |
| High latency will suck regardless of the bandwidth | 1 | — | 0 | 1 | 1 100% |
| Please help with STRING_SPLIT improvements | 1 | — | 0 | 1 | 1 100% |
| part one of his Closest Match series | 1 | — | 0 | 1 | 1 100% |
| may increase the likelihood of lock escalation attempts | 1 | — | 0 | 1 | 1 100% |
| Hekaton with a twist: In-memory table-valued parameters | 1 | — | 0 | 2 | 2 100% |
| Aaron Bertrand’s blog post: Parse parameter default values using PowerShell | 1 | — | 0 | 1 | 1 100% |
| Glenn Berry explains the two purchase models available with Azure SQL Database, as well as the various service tiers within each model | 1 | — | 0 | 1 | 1 100% |
| Itzik Ben-Gan's Blog posts at SQLPerformance.com | 1 | — | 0 | 2 | 2 100% |
| odd operator times | 1 | — | 0 | 1 | 1 100% |
| setting up SQL Server Agent alerts here | 1 | — | 0 | 1 | 1 100% |
| Follow-Up #2 | 1 | — | 0 | 1 | 1 100% |
| Itzik Ben-Gan continues a series on table expressions | 1 | — | 0 | 1 | 1 100% |
| http://sqlperformance.com | 1 | — | 0 | 1 | 1 100% |
| Paul Randal – Knee-Jerk Wait Statistics : PAGEIOLATCH_SH | 1 | — | 0 | 1 | 1 100% |
| Community call for creating the fastest number series generator | Itzik Ben Gan | 1 | — | 0 | 1 | 1 100% |
| Glenn Berry tackles the question of maximizing bang for buck with hardware for SQL Server Standard Edition | 1 | — | 0 | 1 | 1 100% |
| DISTINCT with few unique values | 1 | — | 0 | 2 | 2 100% |
Frequently Asked Questions
What anchor texts are used to link to sqlperformance.com?
This page shows all anchor texts found in backlinks pointing to sqlperformance.com, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe sqlperformance.com.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does sqlperformance.com have?
The anchor text report for sqlperformance.com displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.