BitTorrent Network for Yggdrasil
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source yggtracker
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{
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type = mysql
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sql_port = 3306
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sql_host = localhost
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sql_user =
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sql_pass =
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sql_db =
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}
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source magnet : yggtracker
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{
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sql_query = \
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SELECT `magnet`.`timeAdded`, \
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`magnet`.`timeUpdated`, \
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`magnet`.`magnetId`, \
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`magnet`.`metaTitle`, \
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`magnet`.`metaDescription`, \
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`magnet`.`description`, \
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`magnet`.`dn`, \
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(SELECT GROUP_CONCAT(DISTINCT `infoHash`.`value`) \
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FROM `infoHash` \
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JOIN `magnetToInfoHash` ON (`magnetToInfoHash`.`magnetId` = `magnet`.`magnetId`) \
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WHERE `infoHash`.`infoHashId` = `magnetToInfoHash`.`infoHashId`) AS `infoHash`, \
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(SELECT GROUP_CONCAT(DISTINCT `keywordTopic`.`value`) \
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FROM `keywordTopic` \
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JOIN `magnetToKeywordTopic` ON (`magnetToKeywordTopic`.`magnetId` = `magnet`.`magnetId`) \
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WHERE `keywordTopic`.`keywordTopicId` = `magnetToKeywordTopic`.`keywordTopicId`) AS `keywords`, \
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(SELECT GROUP_CONCAT(DISTINCT `magnetComment`.`value`) \
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FROM `magnetComment` \
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WHERE `magnetComment`.`magnetId` = `magnet`.`magnetId`) AS `comments` \
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FROM `magnet`\
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sql_attr_uint = magnetId
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}
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index magnet
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{
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source = magnet
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path = /var/lib/sphinxsearch/data/magnet
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morphology = stem_cz, stem_ar, lemmatize_de_all, lemmatize_ru_all, lemmatize_en_all # stem_enru
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min_word_len = 2
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min_prefix_len = 2
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html_strip = 1
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index_exact_words = 1
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}
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indexer
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{
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mem_limit = 256M
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lemmatizer_cache = 256M
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}
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