Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| 日本PostgreSQLユーザ会 | 7 | — | 0 | 110 | 110 100% |
| www.postgresql.jp | 5 | — | 0 | 7 | 7 100% |
| http://www.postgresql.jp/ | 3 | — | 0 | 4 | 3 75% |
| マニュアル | 3 | — | 0 | 8 | 7 87.5% |
| psql | 2 | — | 0 | 4 | 4 100% |
| http://www.postgresql.jp/document/ | 2 | — | 0 | 2 | 2 100% |
| \copy | 2 | — | 0 | 2 | 2 100% |
| PostgreSQL | 2 | — | 0 | 3 | 1 33.3% |
| NPO法人 日本PostgreSQLユーザ会 | 2 | — | 0 | 2 | 1 50% |
| 排他制約 | 2 | — | 0 | 2 | 2 100% |
| PostgreSQL Conference Japan 2024 | 2 | — | 0 | 2 | 2 100% |
| CREATE INDEX | 2 | — | 0 | 2 | 2 100% |
| pgbench | 2 | — | 0 | 2 | 2 100% |
| explain | 1 | — | 0 | 1 | 1 100% |
| 28.2. 統計情報コレクタ | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 1 | 1 100% | |
| JPUG 2010 年夏セミナー 〜PostgreSQL 活用のケーススタディと最新版 9.0 の技術トレンドセミナー〜 | 1 | — | 0 | 1 | 1 100% |
| vacuum_freeze_table_age | 1 | — | 0 | 1 | 1 100% |
| 第20回 | 1 | — | 0 | 1 | 1 100% |
| trigger_file | 1 | — | 0 | 1 | 1 100% |
| https://www.postgresql.jp/document/16/html/preface.html | 1 | — | 0 | 2 | 2 100% |
| 7.5. 行の並べ替え | 1 | — | 0 | 1 | 1 100% |
| ［第10章 型変換］ | 1 | — | 0 | 1 | 1 100% |
| 16 | 1 | — | 0 | 1 | 1 100% |
| 7.8. WITH問い合わせ（共通テーブル式） | 1 | — | 0 | 1 | 1 100% |
| psqlのドキュメント | 1 | — | 0 | 1 | 1 100% |
| SQLによるダンプ | 1 | — | 0 | 1 | 1 100% |
| http://www.postgresql.jp/document/current/html/backup.html | 1 | — | 0 | 2 | 2 100% |
| ALTER LARGE OBJECT | 1 | — | 0 | 1 | 1 100% |
| ファイルシステムレベルのバックアップ | 1 | — | 0 | 1 | 1 100% |
| 日本PostgreSQLユーザ会新潟支部 | 1 | — | 0 | 1 | 0 0% |
| 1 | — | 0 | 1 | 1 100% | |
| COMMIT | 1 | — | 0 | 1 | 0 0% |
| テーブル継承 | 1 | — | 0 | 1 | 1 100% |
| ［28章 データベース活動状況の監視］ | 1 | — | 0 | 1 | 1 100% |
| delta | 1 | — | 0 | 1 | 1 100% |
| contrib/pg_stat_statements | 1 | — | 0 | 1 | 1 100% |
| リリース9.0 | 1 | — | 0 | 1 | 1 100% |
| https://www.postgresql.jp/document/17/html/catalog-pg-authid.html | 1 | — | 0 | 1 | 0 0% |
| 通貨型 | 1 | — | 0 | 1 | 0 0% |
| CREATE TRIGGER | 1 | — | 0 | 1 | 1 100% |
| CREATE TABLE | 1 | — | 0 | 1 | 0 0% |
| SQL/JSON Path Language | 1 | — | 0 | 1 | 1 100% |
| 関数インデックス | 1 | — | 0 | 1 | 1 100% |
| work_mem | 1 | — | 0 | 1 | 1 100% |
| 【日本 PostgreSQL ユーザ会主催】PostgreSQL Conference Japan 2024 | 1 | — | 0 | 2 | 2 100% |
| ［42章 PL/pgSQL – SQL手続き言語］ | 1 | — | 0 | 1 | 1 100% |
| 12.3. テキスト検索の制御 | 1 | — | 0 | 1 | 1 100% |
| ? | 1 | — | 0 | 2 | 2 100% |
| 24.2. 照合順序サポート | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to postgresql.jp?
This page shows all anchor texts found in backlinks pointing to postgresql.jp, 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 postgresql.jp.
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 postgresql.jp have?
The anchor text report for postgresql.jp 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.