mysql-full-text.blogspot.com

MySQL Internals: Full-Text investigations

MySQL Internals: Full-Text investigations. Trying to understand the MySQL index reading internals, to achieve best benchmarks when querying full-text. Monday, July 2, 2012. Back again. Sorry but I had lost my access to Blogger. Now it seems to work again as expected. In the meantime, I could accomplish a great enterprise, my own search engine. Have a look at http:/ www.busq.org/. Here it is a video explaining how it works: Search Engine and Crawlers. Monday, July 02, 2012. Monday, February 18, 2008.

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MySQL Internals: Full-Text investigations. Trying to understand the MySQL index reading internals, to achieve best benchmarks when querying full-text. Monday, July 2, 2012. Back again. Sorry but I had lost my access to Blogger. Now it seems to work again as expected. In the meantime, I could accomplish a great enterprise, my own search engine. Have a look at http:/ www.busq.org/. Here it is a video explaining how it works: Search Engine and Crawlers. Monday, July 02, 2012. Monday, February 18, 2008.

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6 mapping semantic correlations

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MySQL Internals: Full-Text investigations | mysql-full-text.blogspot.com Reviews

https://mysql-full-text.blogspot.com

MySQL Internals: Full-Text investigations. Trying to understand the MySQL index reading internals, to achieve best benchmarks when querying full-text. Monday, July 2, 2012. Back again. Sorry but I had lost my access to Blogger. Now it seems to work again as expected. In the meantime, I could accomplish a great enterprise, my own search engine. Have a look at http:/ www.busq.org/. Here it is a video explaining how it works: Search Engine and Crawlers. Monday, July 02, 2012. Monday, February 18, 2008.

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mysql-full-text.blogspot.com

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MySQL Internals: Full-Text investigations: Andrew Aksyonoff gave me a hint

http://www.mysql-full-text.blogspot.com/2007/10/andrew-aksyonoff-gave-me-hint.html

MySQL Internals: Full-Text investigations. Trying to understand the MySQL index reading internals, to achieve best benchmarks when querying full-text. Friday, October 26, 2007. Andrew Aksyonoff gave me a hint. He has told me that MySQL suffers from internal fragmentation rather than wrong ordering: It needs to perform too much semi-random I/O task on huge requests. If MySQL would have made this search operation it would have taken probably 163.000.000 * 0.01 seconds, and that is 18 days. ...This is my po...

2

MySQL Internals: Full-Text investigations: Brian Wakem has also replied

http://www.mysql-full-text.blogspot.com/2007/10/brian-wakem-has-also-replied.html

MySQL Internals: Full-Text investigations. Trying to understand the MySQL index reading internals, to achieve best benchmarks when querying full-text. Wednesday, October 24, 2007. Brian Wakem has also replied. Brian Wakem has replied:. Forcing a filesystem cache of the table is probably loading the index into. Memory too. In the second case you are not, so the extra time is probably. Spent reading the index from disk, not the data file. And we have replied him as soon:. When not caching the file.

3

MySQL Internals: Full-Text investigations: Improved tag clouds

http://www.mysql-full-text.blogspot.com/2008/02/improved-tag-clouds.html

MySQL Internals: Full-Text investigations. Trying to understand the MySQL index reading internals, to achieve best benchmarks when querying full-text. Monday, February 18, 2008. Tag clouds are 2-dimensional keyword mappings. It is a concept similar to my goal of "Mapping semantic correlations". The search results of http:/ www.quintura.com/ are a good example of 2D tag clouds. Also Flickr and Technoraty engines use it. Monday, February 18, 2008. Subscribe to: Post Comments (Atom).

4

MySQL Internals: Full-Text investigations: Forcing whole database to be cached

http://www.mysql-full-text.blogspot.com/2007/10/we-reboot-again-linux-server.html

MySQL Internals: Full-Text investigations. Trying to understand the MySQL index reading internals, to achieve best benchmarks when querying full-text. Wednesday, October 24, 2007. Forcing whole database to be cached. We reboot again the Linux server. This way we garantee filesystem cache is void. The folder "/var/lib/mysql/full text investigations/" holds the database. We are going to force the system to keep in RAM the data and index files this way:. Total used free shared buffers cached. Swap: 0 0 0.

5

MySQL Internals: Full-Text investigations: RAM is 1000 times faster than disk

http://www.mysql-full-text.blogspot.com/2007/10/ram-is-1000-times-faster-than-disk.html

MySQL Internals: Full-Text investigations. Trying to understand the MySQL index reading internals, to achieve best benchmarks when querying full-text. Saturday, October 27, 2007. RAM is 1000 times faster than disk. It has me taken 4 days to convert the english Wkipedia content into a SQL dump file. The original XML file occupy 13 Gb uncompressed. Once filtered and converted to SQL it occupies 4.3 Gb:. Rw-r- r- 1 root root 13G Oct 23 06:27 enwiki-20071018-pages-articles.xml. This test has been done under ...

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mysql-full-text.blogspot.com

MySQL Internals: Full-Text investigations

MySQL Internals: Full-Text investigations. Trying to understand the MySQL index reading internals, to achieve best benchmarks when querying full-text. Monday, July 2, 2012. Back again. Sorry but I had lost my access to Blogger. Now it seems to work again as expected. In the meantime, I could accomplish a great enterprise, my own search engine. Have a look at http:/ www.busq.org/. Here it is a video explaining how it works: Search Engine and Crawlers. Monday, July 02, 2012. Monday, February 18, 2008.

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