solr 与mysql的对应查询 solr统计-白红宇

solr 与mysql的对应查询 solr统计

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发布时间：2019-06-19

本文共 11746 字，大约阅读时间需要 39 分钟。

Cloudera公司已经推出了基于Hadoop平台的查询统计分析工具Impala，只要熟悉SQL，就可以熟练地使用Impala来执行查询与分析的功能。不过Impala的SQL和关系数据库的SQL还是有一点微妙地不同的。

下面，我们设计一个表，通过该表中的数据，来将SQL查询与统计的语句，使用Solr查询的方式来与SQL查询对应。这个翻译的过程，是非常有趣的，你可以看到Solr一些很不错的功能。

用来示例的表结构设计，如图所示：

下面，我们通过给出一些SQL查询统计语句，然后对应翻译成Solr查询语句，然后对比结果

查询对比条件组合查询SQL查询语句：

SELECT log_id,start_time,end_time,prov_id,city_id,area_id,idt_id,cnt,net_type

FROM v_i_event

WHERE prov_id = 1 AND net_type = 1 AND area_id = 10304 AND time_type = 1 AND time_id >= 20130801 AND time_id <= 20130815

ORDER BY log_id LIMIT 10;

查询结果，如图所示：

Solr查询URL：

http://slave1:8888/solr-cloud/i_event/select?q=*:*&fl=log_id,start_time,end_time,prov_id,city_id,area_id,idt_id,cnt,net_type&fq=prov_id:1 AND net_type:1 AND area_id:10304 AND time_type:1 AND time_id:[20130801 TO 20130815]&sort=log_id asc&start=0&rows=10

查询结果，如下所示：

<response>

<lst name="responseHeader">

<int name="status">0</int>

<int name="QTime">4</int>

</lst>

<result name="response" numFound="77" start="0">

<doc>

<int name="log_id">6827</int>

<long name="start_time">1375072117</long>

<long name="end_time">1375081683</long>

<int name="prov_id">1</int>

<int name="city_id">103</int>

<int name="area_id">10304</int>

<int name="idt_id">11002</int>

<int name="cnt">0</int>

<int name="net_type">1</int>

</doc>

<doc>

<int name="log_id">6827</int>

<long name="start_time">1375072117</long>

<long name="end_time">1375081683</long>

<int name="prov_id">1</int>

<int name="city_id">103</int>

<int name="area_id">10304</int>

<int name="idt_id">11000</int>

<int name="cnt">0</int>

<int name="net_type">1</int>

</doc>

<doc>

<int name="log_id">6851</int>

<long name="start_time">1375142158</long>

<long name="end_time">1375146391</long>

<int name="prov_id">1</int>

<int name="city_id">103</int>

<int name="area_id">10304</int>

<int name="idt_id">14001</int>

<int name="cnt">5</int>

<int name="net_type">1</int>

</doc>

<doc>

<int name="log_id">6851</int>

<long name="start_time">1375142158</long>

<long name="end_time">1375146391</long>

<int name="prov_id">1</int>

<int name="city_id">103</int>

<int name="area_id">10304</int>

<int name="idt_id">11002</int>

<int name="cnt">23</int>

<int name="net_type">1</int>

</doc>

<doc>

<int name="log_id">6851</int>

<long name="start_time">1375142158</long>

<long name="end_time">1375146391</long>

<int name="prov_id">1</int>

<int name="city_id">103</int>

<int name="area_id">10304</int>

<int name="idt_id">10200</int>

<int name="cnt">55</int>

<int name="net_type">1</int>

</doc>

<doc>

<int name="log_id">6851</int>

<long name="start_time">1375142158</long>

<long name="end_time">1375146391</long>

<int name="prov_id">1</int>

<int name="city_id">103</int>

<int name="area_id">10304</int>

<int name="idt_id">14000</int>

<int name="cnt">4</int>

对比上面结果，除了根据idt_id排序方式不同以外（Impala是升序，Solr是降序），其他是相同的。

单个字段分组统计

SQL查询语句：

SELECT prov_id, SUM(cnt) AS sum_cnt, AVG(cnt) AS avg_cnt, MAX(cnt) AS max_cnt, MIN(cnt) AS min_cnt, COUNT(cnt) AS count_cnt

FROM v_i_event

GROUP BY prov_id;

查询结果，如图所示：

Solr查询URL：

http://slave1:8888/solr-cloud/i_event/select?q=*:*&stats=true&stats.field=cnt&rows=0&indent=true&stats.facet=prov_id

查询结果，如下所示：

<response>

<lst name="responseHeader">

<int name="status">0</int>

<int name="QTime">2</int>

</lst>

<result name="response" numFound="4088" start="0"></result>

<lst name="stats">

<lst name="stats_fields">

<lst name="cnt">

<double name="min">0.0</double>

<double name="max">1258.0</double>

<long name="count">4088</long>

<long name="missing">0</long>

<double name="sum">32587.0</double>

<double name="sumOfSquares">9170559.0</double>

<double name="mean">7.971379647749511</double>

<double name="stddev">46.69344567709268</double>

<lst name="facets" />

</lst>

</lst>

</lst>

</response>

对比查询结果，Solr提供了更多的统计项，如标准差（stddev）等，与SQL查询结果是一致的。

IN条件查询SQL查询语句：

[cde]SELECT log_id,start_time,end_time,prov_id,city_id,area_id,idt_id,cnt,net_typFROM v_i_eventWHERE prov_id = 1 AND net_type = 1 ANDcity_id IN(106,103) AND idt_id IN(12011,5004,6051,6056,8002) AND time_type = 1AND time_id >= 20130801 AND time_id <= 20130815ORDER BY log_id, start_time DESC LIMIT 10;

[/code]查询结果，如图所示：

Solr查询URL：

http://slave1:8888/solr-cloud/i_event/select?q=*:*&fl=log_id,start_time,end_time,prov_id,city_id,area_id,idt_id, cnt,net_type&fq=prov_id:1 AND net_type:1 AND (city_id:106 OR city_id:103) AND (idt_id:12011 OR idt_id:5004 OR idt_id:6051 OR idt_id:6056 OR idt_id:8002) AND time_type:1 AND time_id:[20130801 TO 20130815]&sort=log_id asc ,start_time desc&start=0&rows=10

或

http://slave1:8888/solr-cloud/i_event/select?q=*:*&fl=log_id,start_time,end_time,prov_id,city_id,area_id,idt_id, cnt ,net_type&fq=prov_id:1&fq=net_type:1&fq=(city_id:106 OR city_id:103)&fq=(idt_id:12011 OR idt_id:5004 OR idt_id:6051 OR idt_id:6056 OR idt_id:8002)&fq=time_type:1&fq=time_id:[20130801 TO 20130815]&sort=log_id asc,start_time desc&start=0&rows=10

查询结果，如下所示：

<response>

<lst name="responseHeader">

<int name="status">0</int>

<int name="QTime">6</int>

</lst>

<result name="response" numFound="63" start="0">

<doc>

<int name="log_id">6553</int>

<long name="start_time">1374054184</long>

<long name="end_time">1374054254</long>

<int name="prov_id">1</int>

<int name="city_id">103</int>

<int name="area_id">10307</int>

<int name="idt_id">12011</int>

<int name="cnt">0</int>

<int name="net_type">1</int>

</doc>

<doc>

<int name="log_id">6553</int>

<long name="start_time">1374054184</long>

<long name="end_time">1374054254</long>

<int name="prov_id">1</int>

<int name="city_id">103</int>

<int name="area_id">10307</int>

<int name="idt_id">5004</int>

<int name="cnt">2</int>

<int name="net_type">1</int>

</doc>

<doc>

<int name="log_id">6555</int>

<long name="start_time">1374055060</long>

<long name="end_time">1374055158</long>

<int name="prov_id">1</int>

<int name="city_id">103</int>

<int name="area_id">70104</int>

<int name="idt_id">5004</int>

<int name="cnt">3</int>

<int name="net_type">1</int>

对比查询结果，是一致的。

开区间范围条件查询SQL查询语句：

SELECTlog_id,start_time,end_time,prov_id,city_id,area_id,idt_id,cnt,net_typeFROM v_i_eventWHERE net_type = 1 AND idt_idIN(12011,5004,6051,6056,8002) AND time_type = 1 AND start_time >= 1373598465AND end_time < 1374055254

ORDER BY log_id, start_time, idt_id DESCLIMIT 30;查询结果，如图所示：

Solr查询URL：

http://slave1:8888/solr-cloud/i_event/select?q=*:*&fl=log_id,start_time,end_time,prov_id,city_id,area_id,idt_id,cnt,net_type&fq=net_type:1 AND (idt_id:12011 OR idt_id:5004 OR idt_id:6051 OR idt_id:6056 OR idt_id:8002) AND time_type:1 AND start_time:[1373598465 TO 1374055254]&fq =-start_time:1374055254&sort=log_id asc,start_time asc,idt_id desc&start=0&rows=30

或

http://slave1:8888/solr-cloud/i_event/select?q=*:*&fl=log_id,start_time,end_time,prov_id,city_id,area_id,idt_id,cnt,net_type&fq=net_type:1 AND (idt_id:12011 OR idt_id:5004 OR idt_id:6051 OR idt_id:6056 OR idt_id:8002) AND time_type:1 AND start_time:[1373598465 TO 1374055254] AND -start_time:1374055254&sort=log_id asc,start_time asc,idt_id desc&start=0&rows=30

或

http://slave1:8888/solr-cloud/i_event/select?q=*:*&fl=log_id,start_time,end_time,prov_id,city_id,area_id,idt_id,cnt,net_type&fq=net_type:1&fq=idt_id:12011 OR idt_id:5004 OR idt_id:6051 OR idt_id:6056 OR idt_id:8002&fq =time_type:1&fq=start_time:[1373598465 TO 1374055254]&fq =-start_time:1374055254&sort=log_id asc,start_time asc,idt_id desc&start=0&rows=30

查询结果，如下所示：

<response>

<lst name="responseHeader">

<int name="status">0</int>

<int name="QTime">5</int>

</lst>

<result name="response" numFound="4" start="0">

<doc>

<int name="log_id">6553</int>

<long name="start_time">1374054184</long>

<long name="end_time">1374054254</long>

<int name="prov_id">1</int>

<int name="city_id">103</int>

<int name="area_id">10307</int>

<int name="idt_id">12011</int>

<int name="cnt">0</int>

<int name="net_type">1</int>

</doc>

<doc>

<int name="log_id">6553</int>

<long name="start_time">1374054184</long>

<long name="end_time">1374054254</long>

<int name="prov_id">1</int>

<int name="city_id">103</int>

<int name="area_id">10307</int>

<int name="cnt">2</int>

<int name="net_type">1</int>

</doc>

<doc>

<int name="log_id">6555</int>

<long name="start_time">1374055060</long>

<long name="end_time">1374055158</long>

<int name="prov_id">1</int>

<int name="city_id">103</int>

<int name="area_id">70104</int>

<int name="idt_id">12011</int>

<int name="cnt">0</int>

<int name="net_type">1</int>

</doc>

<doc>

<int name="log_id">6555</int>

<long name="start_time">1374055060</long>

<long name="end_time">1374055158</long>

<int name="prov_id">1</int>

<int name="city_id">103</int>

<int name="area_id">70104</int>

<int name="idt_id">5004</int>

<int name="cnt">3</int>

<int name="net_type">1</int>

</doc>

</result>

</response>

多个字段分组统计（只支持count函数）SQL查询语句：SELECT city_id, area_id, COUNT(cnt) AScount_cntFROM v_i_eventWHERE prov_id = 1 AND net_type = 1GROUP BY city_id, area_id;查询结果，如图所示：

Solr查询URL：

http://slave1:8888/solr-cloud/i_event/select?q=*:*&facet=true&facet.pivot=city_id,area_id&fq=prov_id:1 AND net_type:1&rows=0&indent=true

对比上面结果，Solr查询结果，需要从上面的各组中进行合并，得到最终的统计结果，结果和SQL结果是一致的。

多个字段分组统计（支持count、sum、max、min等函数）一次对多个字段进行独立分组统计，Solr可以很好的支持。这相当于执行两个带有GROUP BY子句的SQL，这两个GROUP BY分别只对一个字段进行汇总统计。

SQL查询语句：

SELECT city_id, area_id, COUNT(cnt) AS count_cnt

FROM v_i_event

WHERE prov_id = 1 AND net_type = 1

GROUP BY city_id;

SELECT city_id, area_id, COUNT(cnt) AS count_cnt

FROM v_i_event

WHERE prov_id = 1 AND net_type = 1

GROUP BY area_id;

复制代码

查询结果，不再显示。

Solr查询URL：

>http://slave1:8888/solr-cloud/i_event/select?q=*:*&stats=true&stats.field=cnt&f.cnt.stats.facet=city_id&&f.cnt.stats.facet=area_id&fq=prov_id:1 AND net_type:1&rows=0&indent=true

查询结果，如下所示：

<response>

<lst name="responseHeader">

<int name="status">0</int>

<int name="QTime">72</int>

</lst>

<result name="response" numFound="1171" start="0"></result>

<lst name="facet_counts">

<lst name="facet_queries" />

<lst name="facet_fields" />

<lst name="facet_dates" />

<lst name="facet_ranges" />

<lst name="facet_pivot">

<arr name="city_id,area_id">

<lst>

<str name="field">city_id</str>

<int name="value">103</int>

<int name="count">678</int>

<arr name="pivot">

<lst>

<str name="field">area_id</str>

<int name="value">10307</int>

<int name="count">298</int>

</lst>

<lst>

<str name="field">area_id</str>

<int name="value">10315</int>

<int name="count">120</int>

</lst>

<lst>

<str name="field">area_id</str>

<int name="value">10317</int>

<int name="count">86</int>

</lst>

<lst>

<str name="field">area_id</str>

<int name="value">10304</int>

<int name="count">67</int>

</lst>

<lst>

<str name="field">area_id</str>

<int name="value">10310</int>

<int name="count">49</int>

</lst>

<lst>

<str name="field">area_id</str>

<int name="value">70104</int>

<int name="count">48</int>

</lst>

<lst>

<str name="field">area_id</str>

<int name="value">10308</int>

<int name="count">6</int>

</lst>

<lst>

<str name="field">area_id</str>

<int name="value">0</int>

<int name="count">2</int>

</lst>

<lst>

<str name="field">area_id</str>

<int name="value">10311</int>

<int name="count">2</int>

</lst>

</arr>

</lst>

<lst>

<str name="field">city_id</str>

<int name="value">0</int>

<int name="count">463</int>

<arr name="pivot">

<lst>

<str name="field">area_id</str>

<int name="value">0</int>

<int name="count">395</int>

</lst>

<lst>

<str name="field">area_id</str>

<int name="value">10307</int>

<int name="count">68</int>

复制代码

对比上面结果，Solr查询结果，需要从上面的各组中进行合并，得到最终的统计结果，结果和SQL结果是一致的。

多个字段联合分组统计（支持count、sum、max、min等函数）SQL查询语句：SELECT city_id, area_id, SUM(cnt) ASsum_cnt, AVG(cnt) AS avg_cnt, MAX(cnt) AS max_cnt, MIN(cnt) AS min_cnt,COUNT(cnt) AS count_cntFROM v_i_eventWHERE prov_id = 1 AND net_type = 1GROUP BY city_id, area_id;

查询结果，如图所示：