Add PGroogna 1.0.0 release announce

en/_posts/2015-10-29-pgroonga-1.0.0.md

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+---
+layout: post.en
+title: PGroonga 1.0.0 has been released
+description: PGroonga 1.0.0 has been released!
+---
+
+## PGroonga 1.0.0 has been released
+
+PGroonga (píːzí:lúnɡά) 1.0.0 has been released! It's the first major release!
+
+### About PGroonga
+
+PGroonga is a PostgreSQL extension that makes PostgreSQL fast full text search platform for all languages!
+
+There are some PostgreSQL extensions that improves full text search feature of PostgreSQL such as [pg_trgm](http://www.postgresql.org/docs/current/static/pgtrgm.html) and [pg_bigm](http://pgbigm.osdn.jp/index_en.html).
+
+pg\_trgm doesn't support languages that use non-alphanumerics characters such as Japanese and Chinese.
+
+pg\_bigm supports languages that use non-alphanumerics characters but it's slow.
+
+PGroonga supports all languages, provides rich full text search related features and is very fast. Because PGroonga uses [Groonga](http://groonga.org/) that is a full-fledged full text search engine as backend.
+
+For example, PGroonga is a few times faster than pg\_bigm. In some cases, PGroonga is 10 times over faster than pg\_bigm.
+
+Here are benchmark results between PGroonga and pg\_bigm. They use Japanese Wikipedia data.
+
+Here is a benchmark result for creating an index:
+
+Extension  | Index creation time
+-----------|--------------------
+PGroonga   | 25m 37s
+pg_bigm    | 5h 56m 15s
+
+In this case, PGroonga is about 14 times faster than pg\_bigm.
+
+Here is a benchmark result for full text search:
+
+Search keywords                        | N hits   | PGroonga   | pg\_bigm
+---------------------------------------|----------|------------|---------
+"PostgreSQL" or "MySQL"                | 368      | *0.030s*   | 0.107s
+データベース (database in Japanese)     | 17172    | *0.121s*  | 1.224s
+テレビアニメ (TV animation in Japanese) | 22885    | *0.179s*  | 2.472s
+日本 (Japan in Japanese)                | 625792  | 0.646s     | *0.556s*
+
+In "日本" (Japan in Japanese) case, pg\_bigm is a bit faster(\*) than PGroonga. But PGroonga is 3 times to 14 times faster than pg\_bigm in other cases. The result shows that PGroonga can perform stable high performance fast full text search against all keywords.
+
+(\*) pg\_bigm can perform faster full text search against keywords that have 2 or less characters rather than keywords that have 3 or more characters.
+
+PGroonga provides the following features that aren't provided by other extensions:
+
+  * Normalize feature
+  * Custom tokenizer feature
+  * Snippet feature
+
+Normalize feature is a feature that converts different notation texts to unified notation text.
+
+For simple example, both "ABC" and "abc" are converted to "abc".
+
+For more complex example, both "ﾎﾟｽｸﾞﾚ" (HALFWIDTH KATAKANA) and "ポスグレ" (FULLWIDTH KATAKANA) are converted to "ポスグレ" (FULLWIDTH KATAKANA). ("ポスグレ" is an abbreviation of PostgreSQL in Japanese.)
+
+This normalization is based on [Unicode NFKC](http://unicode.org/reports/tr15/).
+
+Custom tokenizer feature is a feature that customizes search keyword extraction process (tokenization). If you can custom tokenization, you can control trade-off between search precision and search performance.
+
+For example, if you use "tokenizer that is based of morphological analyzer", you can get better search precision and search performance but may not find some texts.
+
+FYI: There is no other extension that supports morphological analyzer based tokenizer. PGroonga is the only extension that supports it.
+
+Snippet feature is a feature that shows texts around keyword. It's used by Web search engine. Google also uses it. You can find it under page title in hit page list. PGroonga provides a function that implements it.
+
+There are more features:
+
+  * Query language that uses Web search engine like syntax
+  * JSON search
+    * You can use each value for condition. You can also perform full text search against all texts in JSON. No other extension such as [JsQuery](https://github.com/postgrespro/jsquery) doesn't provide full text search feature against JSON.
+
+Here are features that will be implemented in the feature. They are already implemented in Groonga.
+
+  * Query expansion feature
+  * Weight feature
+  * Stemming feature
+
+### Usage
+
+You can use PGroonga without full text search knowledge. You just create an index and puts a condition into `WHERE`:
+
+```sql
+CREATE INDEX index_name ON table USING pgroonga (column);
+
+SELECT * FROM table WHERE column @@ 'PostgreSQL';
+```
+
+You can also use `LIKE` to use PGroonga. PGroonga provides a feature that performs `LIKE` with index. `LIKE` with PGroonga index is faster than `LIKE` without index. It means that you can improve performance without changing your application that uses the following SQL:
+
+```sql
+SELECT * FROM table WHERE column LIKE '%PostgreSQL%';
+```
+
+Are you interested in PGroonga? Please [install](http://pgroonga.github.io/install/) and try [tutorial](http://pgroonga.github.io/tutorial/). You can know all PGroonga features.
+
+You can install PGroonga easily. Because PGroonga provides packages for major platforms. There are binaries for Windows.
+
+## Conclusion
+
+New PGroonga version has been released. PGroonga is a PostgreSQL extension that makes PostgreSQL fast full text search platform for all languages.
+
+It's the first major release. If you want to use fast full text search for all langauges on PostgreSQL, try PGroonga!