Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Triaging Smart Scan | 1 | — | 0 | 1 | 0 0% |
| Revisiting buffer cache Very Large Object Threshold | 1 | — | 0 | 1 | 0 0% |
| External Tables Part 1 – Project Columns All vs Referenced | 1 | — | 0 | 1 | 0 0% |
| What’s new in 12.2 CELLMEMORY Part 2 | 1 | — | 0 | 1 | 0 0% |
| Compression in a well-balanced system | 1 | — | 0 | 1 | 1 100% |
| how to use the FPLIB facility | 1 | — | 0 | 1 | 0 0% |
| How to tell if the Exadata column cache is fully loaded | 1 | — | 0 | 1 | 0 0% |
| Tracing Hybrid Columnar Compression in an offload server | 1 | — | 0 | 1 | 0 0% |
| The beginners guide to Oracle Table Scans | 1 | — | 0 | 1 | 0 0% |
| Examining the new Columnar Cache with v$cell_state | 1 | — | 0 | 1 | 0 0% |
| Thoughts on Big Data SQL SmartScan | 1 | — | 0 | 1 | 0 0% |
| oradebug doc | 1 | — | 0 | 1 | 1 100% |
| More on tracing the offload server | 1 | — | 0 | 1 | 0 0% |
| Alter Table Shrink Space and SmartScan | 1 | — | 0 | 1 | 0 0% |
| usage examples | 1 | — | 0 | 1 | 1 100% |
| Using INMEMORY with External Tables | 1 | — | 0 | 1 | 0 0% |
| Smart Scan and Recursive queries | 1 | — | 0 | 1 | 0 0% |
| Why you dont want to set _partition_large_extents FALSE | 1 | — | 0 | 1 | 0 0% |
| Controlling the offload of specific operators | 1 | — | 0 | 1 | 0 0% |
| итераций | 1 | — | 0 | 3 | 0 0% |
| Why are HCC stats being bumped when Smart Scanning row major data in 12.2 | 1 | — | 0 | 1 | 0 0% |
| http://orasql.org/scripts/colors.sql | 1 | — | 0 | 1 | 1 100% |
| DMLs and the Columnar Cache on ADW | 1 | — | 0 | 1 | 0 0% |
| Create External Table as Select | 1 | — | 0 | 1 | 0 0% |
| Random thoughts on block sizes | 1 | — | 0 | 1 | 0 0% |
| Offloading row level security to Smart Scan | 1 | — | 0 | 1 | 0 0% |
| When bloggers get it wrong – part 1 | 1 | — | 0 | 1 | 0 0% |
| What’s new in 12.2 CELLMEMORY Part 3 | 1 | — | 0 | 1 | 0 0% |
| What’s new in 12.2 CELLMEMORY Part 1 | 1 | — | 0 | 1 | 0 0% |
| Correct syntax for the table_stats hint | 1 | — | 0 | 1 | 0 0% |
| More tricks with OPT_PARAM | 1 | — | 0 | 1 | 0 0% |
| When bloggers get it wrong – part 2 | 1 | — | 0 | 1 | 0 0% |
| Improvements to HCC with wide tables in 12.2 | 1 | — | 0 | 1 | 0 0% |
| Serial Scans failing to offload | 1 | — | 0 | 1 | 0 0% |
| ветвления | 1 | — | 0 | 3 | 0 0% |
| Understanding External Table URowids | 1 | — | 0 | 1 | 0 0% |
| top-N results within multiple categories | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to orasql.org?
This page shows all anchor texts found in backlinks pointing to orasql.org, 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 orasql.org.
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 orasql.org have?
The anchor text report for orasql.org 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.