Solr 4.6.0 DataImportHandler加速性能

Question

我正在使用Solr 4.6.0，每次索引大约10‘000个元素，而且我的导入性能很差。这意味着导入这些10,000份文档需要10分钟。当然我知道，这几乎不取决于服务器硬件，但我仍然想知道，如何实现性能提升--和--在现实世界中，(联接等)实际上是有用的？我也非常感谢的精确示例，，而不仅仅是官方文档的链接。

这是data-config.xml

<dataConfig>
    <dataSource name="mysql" type="JdbcDataSource" 
        driver="com.mysql.jdbc.Driver" 
        url="jdbc:mysql://xxxx" 
        batchSize="-1" 
        user="xxxx" password="xxxx" />
    <document name="publications">
        <entity name="publication" transformer="RegexTransformer" pk="id" query="
            SELECT 
                sm_publications.id AS p_id, 
                CONCAT(sm_publications.title, ' ', sm_publications.abstract) AS p_text,
                sm_publications.year AS p_year,
                sm_publications.doi AS p_doi,
                sm_conferences.full_name AS c_fullname,
                sm_journals.full_name AS j_fullname,
                GROUP_CONCAT(DISTINCT sm_query_publications.query_id SEPARATOR '_-_-_-_-_') AS q_id
            FROM sm_publications 
            LEFT JOIN sm_conferences ON sm_conferences.id = sm_publications.conference_id 
            LEFT JOIN sm_journals ON sm_journals.id = sm_publications.journal_id 
            INNER JOIN sm_query_publications ON sm_query_publications.publication_id = sm_publications.id 
            WHERE '${dataimporter.request.clean}' != 'false' OR 
                sm_publications.modified > '${dataimporter.last_index_time}' GROUP BY sm_publications.id">
            <field column="p_id" name="id" />
            <field column="p_text" name="text" />
            <field column="p_text" name="text_tv" />
            <field column="p_year" name="year" />
            <field column="p_doi" name="doi" />
            <field column="c_fullname" name="conference" />
            <field column="j_fullname" name="journal" />
            <field column="q_id" name="queries" splitBy="_-_-_-_-_" />

            <entity name="publication_authors" query="
                SELECT 
                    CONCAT(
                        IF(sm_authors.first_name != '',sm_authors.first_name,''), 
                        IF(sm_authors.middle_name != '',CONCAT(' ',sm_authors.middle_name),''), 
                        IF(sm_authors.last_name != '',CONCAT(' ',sm_authors.last_name),'')
                    ) AS a_name, 
                    sm_affiliations.display_name AS aa_display_name, 
                    CONCAT(sm_affiliations.latitude, ',', sm_affiliations.longitude) AS aa_geo, 
                    sm_affiliations.country_name AS aa_country_name
                FROM sm_publication_authors 
                INNER JOIN sm_authors ON sm_authors.id = sm_publication_authors.author_id 
                LEFT JOIN sm_affiliations ON sm_affiliations.id = sm_authors.affiliation_id 
                WHERE sm_publication_authors.publication_id = '${publication.p_id}'">
                    <field column="a_name" name="authors" />
                    <field column="aa_display_name" name="affiliations" />
                    <field column="aa_geo" name="geo" />
                    <field column="aa_country_name" name="countries" />
            </entity>

            <entity name="publication_keywords" query="
                SELECT sm_keywords.name FROM sm_publication_keywords 
                INNER JOIN sm_keywords ON sm_keywords.id = sm_publication_keywords.keyword_id
                WHERE sm_publication_keywords.publication_id = '${publication.p_id}'">
                    <field column="name" name="keywords" />
            </entity>

        </entity>
    </document>
</dataConfig>

Answer 1

通过查询缓存，我指的是CachedSqlEntityProcessor。我喜欢合并的解决方案，就像您在另一个问题复本条目中一样。但是，如果CachedSqlEntityProcessor在主查询publication_authors的结果集中重复了一遍又一遍，而且您对额外内存的使用不太关心，那么p_id也会有帮助。

更新:看起来你已经解决了另外两个问题，也许你可以走任何一条路，无论如何，我会根据你的要求发布简短的示例/指针，以防其他人觉得方便。

<entity name="x" query="select * from x">
    <entity name="y" query="select * from y" processor="CachedSqlEntityProcessor"  where="xid=x.id">
    </entity>
<entity>

这个例子取自维基。这仍然将运行主查询"select * from“中的每个id中的每个查询"select * from xid=id”。但是它不会重复发送相同的查询。