{"id":89498,"date":"2020-07-23T13:42:07","date_gmt":"2020-07-23T11:42:07","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/testirovanie-proizvoditelnosti-analiticheskih-zaprosov-v-postgresql-clickhouse-i-clickhousedb_fdw-postgresql"},"modified":"2020-07-23T13:42:07","modified_gmt":"2020-07-23T11:42:07","slug":"testirovanie-proizvoditelnosti-analiticheskih-zaprosov-v-postgresql-clickhouse-i-clickhousedb_fdw-postgresql","status":"publish","type":"post","link":"https:\/\/prohoster.info\/bg\/blog\/administrirovanie\/testirovanie-proizvoditelnosti-analiticheskih-zaprosov-v-postgresql-clickhouse-i-clickhousedb_fdw-postgresql","title":{"rendered":"\u0422\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0432 PostgreSQL, ClickHouse \u0438 clickhousedb_fdw (PostgreSQL)","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>\u0412 \u044d\u0442\u043e\u043c \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0438 \u044f \u0445\u043e\u0442\u0435\u043b \u043f\u043e\u0441\u043c\u043e\u0442\u0440\u0435\u0442\u044c, \u043a\u0430\u043a\u0438\u0435 \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u044f \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u043c\u043e\u0436\u043d\u043e \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a \u0434\u0430\u043d\u043d\u044b\u0445 ClickHouse, \u0430 \u043d\u0435 PostgreSQL. \u042f \u0437\u043d\u0430\u044e, \u043a\u0430\u043a\u0438\u0435 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u043f\u0440\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438 ClickHouse \u044f \u043f\u043e\u043b\u0443\u0447\u0430\u044e. \u0411\u0443\u0434\u0443\u0442 \u043b\u0438 \u044d\u0442\u0438 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430 \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u044b, \u0435\u0441\u043b\u0438 \u044f \u043f\u043e\u043b\u0443\u0447\u0443 \u0434\u043e\u0441\u0442\u0443\u043f \u043a ClickHouse \u0438\u0437 PostgreSQL \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0432\u043d\u0435\u0448\u043d\u0435\u0439 \u043e\u0431\u043e\u043b\u043e\u0447\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 (FDW)? <\/p>\n<p><noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<p>\u0418\u0441\u0441\u043b\u0435\u0434\u0443\u0435\u043c\u044b\u043c\u0438 \u0441\u0440\u0435\u0434\u0430\u043c\u0438 \u0431\u0430\u0437 \u0434\u0430\u043d\u043d\u044b\u0445 \u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f PostgreSQL v11, clickhousedb_fdw \u0438 \u0431\u0430\u0437\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 ClickHouse. \u0412 \u043a\u043e\u043d\u0435\u0447\u043d\u043e\u043c \u0441\u0447\u0435\u0442\u0435, \u0438\u0437 PostgreSQL v11 \u043c\u044b \u0431\u0443\u0434\u0435\u043c \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0442\u044c \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 SQL-\u0437\u0430\u043f\u0440\u043e\u0441\u044b, \u043c\u0430\u0440\u0448\u0440\u0443\u0442\u0438\u0437\u0438\u0440\u0443\u0435\u043c\u044b\u0435 \u0447\u0435\u0440\u0435\u0437 \u043d\u0430\u0448 clickhousedb_fdw \u0432 \u0431\u0430\u0437\u0443 \u0434\u0430\u043d\u043d\u044b\u0445 ClickHouse. \u0417\u0430\u0442\u0435\u043c \u043c\u044b \u0443\u0432\u0438\u0434\u0438\u043c, \u043a\u0430\u043a \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c FDW \u0441\u0440\u0430\u0432\u043d\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u0441 \u0442\u0435\u043c\u0438 \u0436\u0435 \u0437\u0430\u043f\u0440\u043e\u0441\u0430\u043c\u0438, \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u043c\u044b\u043c\u0438 \u0432 \u043d\u0430\u0442\u0438\u0432\u043d\u043e\u043c PostgreSQL \u0438 \u043d\u0430\u0442\u0438\u0432\u043d\u043e\u043c ClickHouse.<\/p>\n<p><\/p>\n<h3 id=\"baza-dannyh-clickhouse\">\u0411\u0430\u0437\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 Clickhouse<\/h3>\n<p><\/p>\n<p>ClickHouse \u2014 \u044d\u0442\u043e \u0441\u0438\u0441\u0442\u0435\u043c\u0430 \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0431\u0430\u0437\u0430\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u043a\u043e\u043b\u043e\u043d\u043e\u043a \u0441 \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u043c \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u043c \u043a\u043e\u0434\u043e\u043c, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043c\u043e\u0436\u0435\u0442 \u0434\u043e\u0441\u0442\u0438\u0433\u0430\u0442\u044c \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0432 100-1000 \u0440\u0430\u0437 \u0431\u044b\u0441\u0442\u0440\u0435\u0435, \u0447\u0435\u043c \u0442\u0440\u0430\u0434\u0438\u0446\u0438\u043e\u043d\u043d\u044b\u0435 \u043f\u043e\u0434\u0445\u043e\u0434\u044b \u043a \u0431\u0430\u0437\u0430\u043c \u0434\u0430\u043d\u043d\u044b\u0445, \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u0430\u044f \u043e\u0431\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0442\u044c \u0431\u043e\u043b\u0435\u0435 \u043c\u0438\u043b\u043b\u0438\u0430\u0440\u0434\u0430 \u0441\u0442\u0440\u043e\u043a \u043c\u0435\u043d\u0435\u0435 \u0447\u0435\u043c \u0437\u0430 \u0441\u0435\u043a\u0443\u043d\u0434\u0443.<\/p>\n<p><\/p>\n<h3 id=\"clickhousedb_fdw\">Clickhousedb_fdw<\/h3>\n<p><\/p>\n<p>clickhousedb_fdw \u2014 \u043e\u0431\u043e\u043b\u043e\u0447\u043a\u0430 \u0432\u043d\u0435\u0448\u043d\u0438\u0445 \u0434\u0430\u043d\u043d\u044b\u0445 \u0431\u0430\u0437\u044b \u0434\u0430\u043d\u043d\u044b\u0445 ClickHouse, \u0438\u043b\u0438 FDW, \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u043c \u0441 \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u043c \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u043c \u043a\u043e\u0434\u043e\u043c \u043e\u0442 Percona. <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/Percona-Lab\/clickhousedb_fdw\">\u0412\u043e\u0442 \u0441\u0441\u044b\u043b\u043a\u0430 \u043d\u0430 \u0440\u0435\u043f\u043e\u0437\u0438\u0442\u043e\u0440\u0438\u0439 \u043f\u0440\u043e\u0435\u043a\u0442\u0430 GitHub<\/a><\/noindex>.<\/p>\n<p><\/p>\n<p><noindex><a rel=\"nofollow\" href=\"https:\/\/www.percona.com\/blog\/2019\/03\/29\/postgresql-access-clickhouse-one-of-the-fastest-column-dbmss-with-clickhousedb_fdw\/\">\u0412 \u043c\u0430\u0440\u0442\u0435 \u044f \u043d\u0430\u043f\u0438\u0441\u0430\u043b \u0431\u043b\u043e\u0433, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0440\u0430\u0441\u0441\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u0432\u0430\u043c \u0431\u043e\u043b\u044c\u0448\u0435 \u043e \u043d\u0430\u0448\u0435\u043c FDW<\/a><\/noindex>.<\/p>\n<p><\/p>\n<p>\u041a\u0430\u043a \u0432\u044b \u0443\u0432\u0438\u0434\u0438\u0442\u0435, \u044d\u0442\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u0435\u0442 FDW \u0434\u043b\u044f ClickHouse, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 SELECT from, \u0438 INSERT INTO, \u0431\u0430\u0437\u0443 \u0434\u0430\u043d\u043d\u044b\u0445 ClickHouse \u0441 \u0441\u0435\u0440\u0432\u0435\u0440\u0430 PostgreSQL v11.<\/p>\n<p><\/p>\n<p>FDW \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u0442 \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u043d\u044b\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a aggregate \u0438 join. \u042d\u0442\u043e \u0437\u043d\u0430\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u043f\u043e\u0432\u044b\u0448\u0430\u0435\u0442 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0437\u0430 \u0441\u0447\u0435\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0440\u0435\u0441\u0443\u0440\u0441\u043e\u0432 \u0443\u0434\u0430\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0441\u0435\u0440\u0432\u0435\u0440\u0430 \u0434\u043b\u044f \u044d\u0442\u0438\u0445 \u0440\u0435\u0441\u0443\u0440\u0441\u043e\u0435\u043c\u043a\u0438\u0445 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439.<\/p>\n<p><\/p>\n<h3 id=\"benchmark-environment\">Benchmark environment<\/h3>\n<p><\/p>\n<ul>\n<li>Supermicro server:\n<ul>\n<li>Intel&reg; Xeon&reg; CPU E5-2683 v3 @ 2.00GHz<\/li>\n<li>2 sockets \/ 28 cores \/ 56 threads<\/li>\n<li>Memory: 256GB of RAM<\/li>\n<li>Storage: Samsung SM863 1.9TB Enterprise SSD<\/li>\n<li>Filesystem: ext4\/xfs<\/li>\n<\/ul>\n<\/li>\n<li>OS: Linux smblade01 4.15.0-42-generic #45~16.04.1-Ubuntu<\/li>\n<li>PostgreSQL: version 11<\/li>\n<\/ul>\n<p><\/p>\n<h3 id=\"benchmark-tests\">Benchmark tests<\/h3>\n<p><\/p>\n<p>\u0412\u043c\u0435\u0441\u0442\u043e \u0442\u043e\u0433\u043e, \u0447\u0442\u043e\u0431\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u043a\u043e\u0439-\u0442\u043e \u043d\u0430\u0431\u043e\u0440 \u0434\u0430\u043d\u043d\u044b\u0445, \u0441\u0433\u0435\u043d\u0435\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u043c\u0430\u0448\u0438\u043d\u043e\u0439, \u0434\u043b\u044f \u044d\u0442\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430, \u043c\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043b\u0438 \u0434\u0430\u043d\u043d\u044b\u0435 \u00ab\u041f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u043f\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u0438, \u0441\u043e\u043e\u0431\u0449\u0430\u0435\u043c\u0430\u044f \u043e \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u0440\u0430\u0431\u043e\u0442\u044b \u043e\u043f\u0435\u0440\u0430\u0442\u043e\u0440\u0430\u00bb \u0441 1987 \u043f\u043e 2018 \u0433\u043e\u0434. \u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0434\u043e\u0441\u0442\u0443\u043f \u043a \u0434\u0430\u043d\u043d\u044b\u043c <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/Percona-Lab\/ontime-airline-performance\/blob\/master\/download.sh\">\u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u043d\u0430\u0448\u0435\u0433\u043e \u0441\u043a\u0440\u0438\u043f\u0442\u0430, \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u043e\u0433\u043e \u0437\u0434\u0435\u0441\u044c<\/a><\/noindex>.<\/p>\n<p><\/p>\n<p>\u0420\u0430\u0437\u043c\u0435\u0440 \u0431\u0430\u0437\u044b \u0434\u0430\u043d\u043d\u044b\u0445 \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 85 \u0413\u0411, \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u044f \u043e\u0434\u043d\u0443 \u0442\u0430\u0431\u043b\u0438\u0446\u0443 \u0438\u0437 109 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432.<\/p>\n<p><\/p>\n<h4 id=\"benchmark-queries\">Benchmark Queries<\/h4>\n<p><\/p>\n<p>\u0412\u043e\u0442 \u0437\u0430\u043f\u0440\u043e\u0441\u044b, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043b \u0434\u043b\u044f \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044f ClickHouse, clickhousedb_fdw \u0438 PostgreSQL.<\/p>\n<p><\/p>\n<p><strong>Q#<\/strong><br \/>\n<strong>Query Contains Aggregates and Group By<\/strong><\/p>\n<p>Q1<br \/>\nSELECT DayOfWeek, count(*) AS c FROM ontime WHERE Year &gt;= 2000 AND Year &lt;= 2008 GROUP BY DayOfWeek ORDER BY c DESC;<\/p>\n<p>Q2<br \/>\nSELECT DayOfWeek, count(*) AS c FROM ontime WHERE DepDelay&gt;10 AND Year &gt;= 2000 AND Year &lt;= 2008 GROUP BY DayOfWeek ORDER BY c DESC;<\/p>\n<p>Q3<br \/>\nSELECT Origin, count(*) AS c FROM ontime WHERE DepDelay&gt;10 AND Year &gt;= 2000 AND Year &lt;= 2008 GROUP BY Origin ORDER BY c DESC LIMIT 10;<\/p>\n<p>Q4<br \/>\nSELECT Carrier, count(<em>) FROM ontime WHERE DepDelay&gt;10 AND Year = 2007 GROUP BY Carrier ORDER BY count(<\/em>) DESC;<\/p>\n<p>Q5<br \/>\nSELECT a.Carrier, c, c2, c<em>1000\/c2 as c3 FROM ( SELECT Carrier, count(<\/em>) AS c FROM ontime WHERE DepDelay&gt;10 AND Year=2007 GROUP BY Carrier ) a INNER JOIN ( SELECT Carrier,count(*) AS c2 FROM ontime WHERE Year=2007 GROUP BY Carrier)b on a.Carrier=b.Carrier ORDER BY c3 DESC;<\/p>\n<p>Q6<br \/>\nSELECT a.Carrier, c, c2, c<em>1000\/c2 as c3 FROM ( SELECT Carrier, count(<\/em>) AS c FROM ontime WHERE DepDelay&gt;10 AND Year &gt;= 2000 AND Year &lt;= 2008 GROUP BY Carrier) a INNER JOIN ( SELECT Carrier, count(*) AS c2 FROM ontime WHERE Year &gt;= 2000 AND Year &lt;= 2008 GROUP BY Carrier ) b on a.Carrier=b.Carrier ORDER BY c3 DESC;<\/p>\n<p>Q7<br \/>\nSELECT Carrier, avg(DepDelay) * 1000 AS c3 FROM ontime WHERE Year &gt;= 2000 AND Year &lt;= 2008 GROUP BY Carrier;<\/p>\n<p>Q8<br \/>\nSELECT Year, avg(DepDelay) FROM ontime GROUP BY Year;<\/p>\n<p>Q9<br \/>\nselect Year, count(*) as c1 from ontime group by Year;<\/p>\n<p>Q10<br \/>\nSELECT avg(cnt) FROM (SELECT Year,Month,count(*) AS cnt FROM ontime WHERE DepDel15=1 GROUP BY Year,Month) a;<\/p>\n<p>Q11<br \/>\nselect avg(c1) from (select Year,Month,count(*) as c1 from ontime group by Year,Month) a;<\/p>\n<p>Q12<br \/>\nSELECT OriginCityName, DestCityName, count(*) AS c FROM ontime GROUP BY OriginCityName, DestCityName ORDER BY c DESC LIMIT 10;<\/p>\n<p>Q13<br \/>\nSELECT OriginCityName, count(*) AS c FROM ontime GROUP BY OriginCityName ORDER BY c DESC LIMIT 10;<\/p>\n<p><strong>Query Contains Joins<\/strong><\/p>\n<p>Q14<br \/>\nSELECT a.Year, c1\/c2 FROM ( select Year, count(<em>)<\/em>1000 as c1 from ontime WHERE DepDelay&gt;10 GROUP BY Year) a INNER JOIN (select Year, count(*) as c2 from ontime GROUP BY Year ) b on a.Year=b.Year ORDER BY a.Year;<\/p>\n<p>Q15<br \/>\nSELECT a.\u201dYear\u201d, c1\/c2 FROM ( select \u201cYear\u201d, count(<em>)<\/em>1000 as c1 FROM fontime WHERE \u201cDepDelay\u201d&gt;10 GROUP BY \u201cYear\u201d) a INNER JOIN (select \u201cYear\u201d, count(*) as c2 FROM fontime GROUP BY \u201cYear\u201d ) b on a.\u201dYear\u201d=b.\u201dYear\u201d;<\/p>\n<p><\/p>\n<p><em>Table-1: Queries used in benchmark<\/em><\/p>\n<p><\/p>\n<h4 id=\"query-executions\">Query executions<\/h4>\n<p><\/p>\n<p>\u0412\u043e\u0442 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u0438\u0437 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u043f\u0440\u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0438 \u0432 \u0440\u0430\u0437\u043d\u044b\u0445 \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0430\u0445 \u0431\u0430\u0437\u044b \u0434\u0430\u043d\u043d\u044b\u0445: PostgreSQL \u0441 \u0438\u043d\u0434\u0435\u043a\u0441\u0430\u043c\u0438 \u0438 \u0431\u0435\u0437 \u043d\u0438\u0445, \u0441\u043e\u0431\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439 ClickHouse \u0438 clickhousedb_fdw. \u0412\u0440\u0435\u043c\u044f \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442\u0441\u044f \u0432 \u043c\u0438\u043b\u043b\u0438\u0441\u0435\u043a\u0443\u043d\u0434\u0430\u0445.<\/p>\n<p><\/p>\n<p><strong>Q#<\/strong><br \/>\n<strong>PostgreSQL<\/strong><br \/>\n<strong>PostgreSQL (Indexed)<\/strong><br \/>\n<strong>ClickHouse<\/strong><br \/>\n<strong>clickhousedb_fdw<\/strong><\/p>\n<p>Q1<br \/>\n27920<br \/>\n19634<br \/>\n23<br \/>\n57<\/p>\n<p>Q2<br \/>\n35124<br \/>\n17301<br \/>\n50<br \/>\n80<\/p>\n<p>Q3<br \/>\n34046<br \/>\n15618<br \/>\n67<br \/>\n115<\/p>\n<p>Q4<br \/>\n31632<br \/>\n7667<br \/>\n25<br \/>\n37<\/p>\n<p>Q5<br \/>\n47220<br \/>\n8976<br \/>\n27<br \/>\n60<\/p>\n<p>Q6<br \/>\n58233<br \/>\n24368<br \/>\n55<br \/>\n153<\/p>\n<p>Q7<br \/>\n30566<br \/>\n13256<br \/>\n52<br \/>\n91<\/p>\n<p>Q8<br \/>\n38309<br \/>\n60511<br \/>\n112<br \/>\n179<\/p>\n<p>Q9<br \/>\n20674<br \/>\n37979<br \/>\n31<br \/>\n81<\/p>\n<p>Q10<br \/>\n34990<br \/>\n20102<br \/>\n56<br \/>\n148<\/p>\n<p>Q11<br \/>\n30489<br \/>\n51658<br \/>\n37<br \/>\n155<\/p>\n<p>Q12<br \/>\n39357<br \/>\n33742<br \/>\n186<br \/>\n1333<\/p>\n<p>Q13<br \/>\n29912<br \/>\n30709<br \/>\n101<br \/>\n384<\/p>\n<p>Q14<br \/>\n54126<br \/>\n39913<br \/>\n124<br \/>\n1364212<\/p>\n<p>Q15<br \/>\n97258<br \/>\n30211<br \/>\n245<br \/>\n259<\/p>\n<p><\/p>\n<p><em>Table-1: Time taken to execute the queries used in benchmark<\/em><\/p>\n<p><\/p>\n<p>\u041f\u0440\u043e\u0441\u043c\u043e\u0442\u0440 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u0432<\/p>\n<p><\/p>\n<p>\u0413\u0440\u0430\u0444\u0438\u043a \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u0432\u0440\u0435\u043c\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0437\u0430\u043f\u0440\u043e\u0441\u0430 \u0432 \u043c\u0438\u043b\u043b\u0438\u0441\u0435\u043a\u0443\u043d\u0434\u0430\u0445, \u043e\u0441\u044c X \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043d\u043e\u043c\u0435\u0440 \u0437\u0430\u043f\u0440\u043e\u0441\u0430 \u0438\u0437 \u0442\u0430\u0431\u043b\u0438\u0446 \u0432\u044b\u0448\u0435, \u0430 \u043e\u0441\u044c Y \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u0432\u0440\u0435\u043c\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0432 \u043c\u0438\u043b\u043b\u0438\u0441\u0435\u043a\u0443\u043d\u0434\u0430\u0445. \u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b ClickHouse \u0438 \u0434\u0430\u043d\u043d\u044b\u0435, \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u043d\u044b\u0435 \u0438\u0437 postgres \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e clickhousedb_fdw, \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u044b. \u0418\u0437 \u0442\u0430\u0431\u043b\u0438\u0446\u044b \u0432\u0438\u0434\u043d\u043e, \u0447\u0442\u043e \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u043e\u0433\u0440\u043e\u043c\u043d\u0430\u044f \u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u043c\u0435\u0436\u0434\u0443 PostgreSQL \u0438 ClickHouse, \u043d\u043e \u043c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u0430\u044f \u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u043c\u0435\u0436\u0434\u0443 ClickHouse \u0438 clickhousedb_fdw.<\/p>\n<p><\/p>\n<p><img decoding=\"async\" alt=\"\u0422\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0432 PostgreSQL, ClickHouse \u0438 clickhousedb_fdw (PostgreSQL)\" src=\"\/wp-content\/uploads\/2020\/07\/e084243ea7b327f30de5cb78339d3d3a.png\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p><\/p>\n<p>\u042d\u0442\u043e\u0442 \u0433\u0440\u0430\u0444\u0438\u043a \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u0440\u0430\u0437\u043d\u0438\u0446\u0443 \u043c\u0435\u0436\u0434\u0443 ClickhouseDB \u0438 clickhousedb_fdw. \u0412 \u0431\u043e\u043b\u044c\u0448\u0438\u043d\u0441\u0442\u0432\u0435 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u043d\u0430\u043a\u043b\u0430\u0434\u043d\u044b\u0435 \u0440\u0430\u0441\u0445\u043e\u0434\u044b FDW \u043d\u0435 \u0442\u0430\u043a \u0432\u0435\u043b\u0438\u043a\u0438 \u0438 \u0435\u0434\u0432\u0430 \u043b\u0438 \u0437\u043d\u0430\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u044b, \u043a\u0440\u043e\u043c\u0435 Q12. \u042d\u0442\u043e\u0442 \u0437\u0430\u043f\u0440\u043e\u0441 \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u0442 \u0432 \u0441\u0435\u0431\u044f \u043e\u0431\u044a\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u044f \u0438 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u0435 ORDER BY. \u0418\u0437-\u0437\u0430 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u044f ORDER BY GROUP\/BY \u0438 ORDER BY \u043d\u0435 \u043e\u043f\u0443\u0441\u043a\u0430\u044e\u0442\u0441\u044f \u0434\u043e ClickHouse.<\/p>\n<p><\/p>\n<p>\u0412 \u0442\u0430\u0431\u043b\u0438\u0446\u0435 2 \u043c\u044b \u0432\u0438\u0434\u0438\u043c \u0441\u043a\u0430\u0447\u043e\u043a \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u0432 \u0437\u0430\u043f\u0440\u043e\u0441\u0430\u0445 Q12 \u0438 Q13. \u041f\u043e\u0432\u0442\u043e\u0440\u044e\u0441\u044c, \u044d\u0442\u043e \u0432\u044b\u0437\u0432\u0430\u043d\u043e \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u0435\u043c ORDER BY. \u0427\u0442\u043e\u0431\u044b \u043f\u043e\u0434\u0442\u0432\u0435\u0440\u0434\u0438\u0442\u044c \u044d\u0442\u043e, \u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u043b \u0437\u0430\u043f\u0440\u043e\u0441\u044b Q-14 \u0438 Q-15 \u0441 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u0435\u043c ORDER BY \u0438 \u0431\u0435\u0437 \u043d\u0435\u0433\u043e. \u0411\u0435\u0437 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u044f ORDER BY \u0432\u0440\u0435\u043c\u044f \u0437\u0430\u0432\u0435\u0440\u0448\u0435\u043d\u0438\u044f \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 259 \u043c\u0441, \u0430 \u0441 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u0435\u043c ORDER BY \u2014 1364212. \u0414\u043b\u044f \u043e\u0442\u043b\u0430\u0434\u043a\u0438 \u044d\u0442\u043e\u0433\u043e \u0437\u0430\u043f\u0440\u043e\u0441\u0430 \u044f \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u044e \u043e\u0431\u0430 \u0437\u0430\u043f\u0440\u043e\u0441\u0430, \u0430 \u0437\u0434\u0435\u0441\u044c \u043f\u0440\u0438\u0432\u0435\u0434\u0435\u043d\u044b \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u043e\u0431\u044a\u044f\u0441\u043d\u0435\u043d\u0438\u044f.<\/p>\n<p><\/p>\n<p>Q15: Without ORDER BY Clause<\/p>\n<p><\/p>\n<pre><code class=\"plaintext\">bm=# EXPLAIN VERBOSE SELECT a.&quot;Year&quot;, c1\/c2 \n     FROM (SELECT &quot;Year&quot;, count(*)*1000 AS c1 FROM fontime WHERE &quot;DepDelay&quot; &gt; 10 GROUP BY &quot;Year&quot;) a\n     INNER JOIN(SELECT &quot;Year&quot;, count(*) AS c2 FROM fontime GROUP BY &quot;Year&quot;) b ON a.&quot;Year&quot;=b.&quot;Year&quot;;<\/code><\/pre>\n<p><\/p>\n<p>Q15: Query Without ORDER BY Clause<\/p>\n<p><\/p>\n<pre><code class=\"plaintext\">QUERY PLAN                                                      \nHash Join  (cost=2250.00..128516.06 rows=50000000 width=12)  \nOutput: fontime.&quot;Year&quot;, (((count(*) * 1000)) \/ b.c2)  \nInner Unique: true   Hash Cond: (fontime.&quot;Year&quot; = b.&quot;Year&quot;)  \n-&gt;  Foreign Scan  (cost=1.00..-1.00 rows=100000 width=12)        \nOutput: fontime.&quot;Year&quot;, ((count(*) * 1000))        \nRelations: Aggregate on (fontime)        \nRemote SQL: SELECT &quot;Year&quot;, (count(*) * 1000) FROM &quot;default&quot;.ontime WHERE ((&quot;DepDelay&quot; &gt; 10)) GROUP BY &quot;Year&quot;  \n-&gt;  Hash  (cost=999.00..999.00 rows=100000 width=12)        \nOutput: b.c2, b.&quot;Year&quot;        \n-&gt;  Subquery Scan on b  (cost=1.00..999.00 rows=100000 width=12)              \nOutput: b.c2, b.&quot;Year&quot;              \n-&gt;  Foreign Scan  (cost=1.00..-1.00 rows=100000 width=12)                    \nOutput: fontime_1.&quot;Year&quot;, (count(*))                    \nRelations: Aggregate on (fontime)                    \nRemote SQL: SELECT &quot;Year&quot;, count(*) FROM &quot;default&quot;.ontime GROUP BY &quot;Year&quot;(16 rows)<\/code><\/pre>\n<p><\/p>\n<p>Q14: Query With ORDER BY Clause<\/p>\n<p><\/p>\n<pre><code class=\"plaintext\">bm=# EXPLAIN VERBOSE SELECT a.&quot;Year&quot;, c1\/c2 FROM(SELECT &quot;Year&quot;, count(*)*1000 AS c1 FROM fontime WHERE &quot;DepDelay&quot; &gt; 10 GROUP BY &quot;Year&quot;) a \n     INNER JOIN(SELECT &quot;Year&quot;, count(*) as c2 FROM fontime GROUP BY &quot;Year&quot;) b  ON a.&quot;Year&quot;= b.&quot;Year&quot; \n     ORDER BY a.&quot;Year&quot;;<\/code><\/pre>\n<p><\/p>\n<p>Q14: Query Plan with ORDER BY Clause<\/p>\n<p><\/p>\n<pre><code class=\"plaintext\">QUERY PLAN \nMerge Join\u00a0 (cost=2.00..628498.02 rows=50000000 width=12)\u00a0\u00a0 \nOutput: fontime.&quot;Year&quot;, (((count(*) * 1000)) \/ (count(*)))\u00a0\u00a0 \nInner Unique: true\u00a0\u00a0 Merge Cond: (fontime.&quot;Year&quot; = fontime_1.&quot;Year&quot;)\u00a0\u00a0 \n-&gt;\u00a0 GroupAggregate\u00a0 (cost=1.00..499.01 rows=1 width=12)\u00a0 \u00a0 \u00a0 \u00a0 \nOutput: fontime.&quot;Year&quot;, (count(*) * 1000)\u00a0\u00a0 \u00a0 \u00a0 \u00a0 \nGroup Key: fontime.&quot;Year&quot;\u00a0\u00a0 \u00a0 \u00a0 \u00a0 \n-&gt;\u00a0 Foreign Scan on public.fontime\u00a0 (cost=1.00..-1.00 rows=100000 width=4)\u00a0\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \nRemote SQL: SELECT &quot;Year&quot; FROM &quot;default&quot;.ontime WHERE ((&quot;DepDelay&quot; &gt; 10)) \n            ORDER BY &quot;Year&quot; ASC\u00a0\u00a0 \n-&gt;\u00a0 GroupAggregate\u00a0 (cost=1.00..499.01 rows=1 width=12)\u00a0\u00a0 \u00a0 \u00a0 \u00a0 \nOutput: fontime_1.&quot;Year&quot;, count(*)\u00a0\u00a0 \u00a0 \u00a0 \u00a0 Group Key: fontime_1.&quot;Year&quot;\u00a0\u00a0 \u00a0 \u00a0 \u00a0 \n-&gt;\u00a0 Foreign Scan on public.fontime fontime_1\u00a0 (cost=1.00..-1.00 rows=100000 width=4)\u00a0\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \nRemote SQL: SELECT &quot;Year&quot; FROM &quot;default&quot;.ontime ORDER BY &quot;Year&quot; ASC(16 rows)<\/code><\/pre>\n<p><\/p>\n<p>\u0418\u0437\u0432\u043e\u0434<\/p>\n<p><\/p>\n<p>\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u044d\u0442\u0438\u0445 \u044d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u043e\u0432 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442, \u0447\u0442\u043e ClickHouse \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u0442 \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0445\u043e\u0440\u043e\u0448\u0443\u044e \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c, \u0430 clickhousedb_fdw \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u0442 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 ClickHouse \u0438\u0437 PostgreSQL. \u0425\u043e\u0442\u044f \u043f\u0440\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438 clickhousedb_fdw \u0435\u0441\u0442\u044c \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043d\u0430\u043a\u043b\u0430\u0434\u043d\u044b\u0435 \u0440\u0430\u0441\u0445\u043e\u0434\u044b, \u043e\u043d\u0438 \u043d\u0435\u0437\u043d\u0430\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u044b \u0438 \u0441\u043e\u043f\u043e\u0441\u0442\u0430\u0432\u0438\u043c\u044b \u0441 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c\u044e, \u0434\u043e\u0441\u0442\u0438\u0433\u043d\u0443\u0442\u043e\u0439 \u043f\u0440\u0438 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u043c \u0437\u0430\u043f\u0443\u0441\u043a\u0435 \u0432 \u0431\u0430\u0437\u0435 \u0434\u0430\u043d\u043d\u044b\u0445 ClickHouse. \u042d\u0442\u043e \u0442\u0430\u043a\u0436\u0435 \u043f\u043e\u0434\u0442\u0432\u0435\u0440\u0436\u0434\u0430\u0435\u0442, \u0447\u0442\u043e fdw \u0432 PostgreSQL \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u0435\u0442 \u0437\u0430\u043c\u0435\u0447\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b.<\/p>\n<p><\/p>\n<p>\u0422\u0435\u043b\u0435\u0433\u0440\u0430\u043c \u0447\u0430\u0442 \u043f\u043e Clickhouse <noindex><a rel=\"nofollow\" href=\"https:\/\/t.me\/clickhouse_ru\">https:\/\/t.me\/clickhouse_ru<\/a><\/noindex><br \/>\n\u0422\u0435\u043b\u0435\u0433\u0440\u0430\u043c \u0447\u0430\u0442 \u043f\u043e PostgreSQL <noindex><a rel=\"nofollow\" href=\"https:\/\/t.me\/pgsql\">https:\/\/t.me\/pgsql<\/a><\/noindex><\/p>\n<p>\u0418\u0437\u0442\u043e\u0447\u043d\u0438\u043a: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/511992\/\">habr.com<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0412 \u044d\u0442\u043e\u043c \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0438 \u044f \u0445\u043e\u0442\u0435\u043b \u043f\u043e\u0441\u043c\u043e\u0442\u0440\u0435\u0442\u044c, \u043a\u0430\u043a\u0438\u0435 \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u044f \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u043c\u043e\u0436\u043d\u043e \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a \u0434\u0430\u043d\u043d\u044b\u0445 ClickHouse, \u0430 \u043d\u0435 PostgreSQL. \u042f \u0437\u043d\u0430\u044e, \u043a\u0430\u043a\u0438\u0435 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u043f\u0440\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438 ClickHouse \u044f \u043f\u043e\u043b\u0443\u0447\u0430\u044e. \u0411\u0443\u0434\u0443\u0442 \u043b\u0438 \u044d\u0442\u0438 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430 \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u044b, \u0435\u0441\u043b\u0438 \u044f \u043f\u043e\u043b\u0443\u0447\u0443 \u0434\u043e\u0441\u0442\u0443\u043f \u043a ClickHouse \u0438\u0437 PostgreSQL \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0432\u043d\u0435\u0448\u043d\u0435\u0439 \u043e\u0431\u043e\u043b\u043e\u0447\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 (FDW)? \u0418\u0441\u0441\u043b\u0435\u0434\u0443\u0435\u043c\u044b\u043c\u0438 \u0441\u0440\u0435\u0434\u0430\u043c\u0438 \u0431\u0430\u0437 \u0434\u0430\u043d\u043d\u044b\u0445 \u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f PostgreSQL v11, clickhousedb_fdw [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":89499,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-89498","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.0.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0438 \u044f \u0445\u043e\u0442\u0435\u043b \u043f\u043e\u0441\u043c\u043e\u0442\u0440\u0435\u0442\u044c, \u043a\u0430\u043a\u0438\u0435 \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u044f \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u043c\u043e\u0436\u043d\u043e \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a \u0434\u0430\u043d\u043d\u044b\u0445 ClickHouse, \u0430 \u043d\u0435 PostgreSQL. \u042f \u0437\u043d\u0430\u044e, \u043a\u0430\u043a\u0438\u0435 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u043f\u0440\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438 ClickHouse \u044f \u043f\u043e\u043b\u0443\u0447\u0430\u044e. \u0411\u0443\u0434\u0443\u0442 \u043b\u0438 \u044d\u0442\u0438 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430 \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u044b, \u0435\u0441\u043b\u0438 \u044f \u043f\u043e\u043b\u0443\u0447\u0443 \u0434\u043e\u0441\u0442\u0443\u043f \u043a ClickHouse \u0438\u0437 PostgreSQL \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0432\u043d\u0435\u0448\u043d\u0435\u0439 \u043e\u0431\u043e\u043b\u043e\u0447\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 (FDW)? \u0418\u0441\u0441\u043b\u0435\u0434\u0443\u0435\u043c\u044b\u043c\u0438 \u0441\u0440\u0435\u0434\u0430\u043c\u0438 \u0431\u0430\u0437 \u0434\u0430\u043d\u043d\u044b\u0445 \u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f PostgreSQL v11, clickhousedb_fdw\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/bg\/blog\/administrirovanie\/testirovanie-proizvoditelnosti-analiticheskih-zaprosov-v-postgresql-clickhouse-i-clickhousedb_fdw-postgresql\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.0.1\" \/>\n\t\t<meta property=\"og:locale\" content=\"bg_BG\" \/>\n\t\t<meta property=\"og:site_name\" content=\"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"\ud83e\udd47\u0422\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0432 PostgreSQL, ClickHouse \u0438 clickhousedb_fdw (PostgreSQL) | ProHoster\" \/>\n\t\t<meta property=\"og:description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0438 \u044f \u0445\u043e\u0442\u0435\u043b \u043f\u043e\u0441\u043c\u043e\u0442\u0440\u0435\u0442\u044c, \u043a\u0430\u043a\u0438\u0435 \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u044f \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u043c\u043e\u0436\u043d\u043e \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a \u0434\u0430\u043d\u043d\u044b\u0445 ClickHouse, \u0430 \u043d\u0435 PostgreSQL. \u042f \u0437\u043d\u0430\u044e, \u043a\u0430\u043a\u0438\u0435 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u043f\u0440\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438 ClickHouse \u044f \u043f\u043e\u043b\u0443\u0447\u0430\u044e. \u0411\u0443\u0434\u0443\u0442 \u043b\u0438 \u044d\u0442\u0438 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430 \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u044b, \u0435\u0441\u043b\u0438 \u044f \u043f\u043e\u043b\u0443\u0447\u0443 \u0434\u043e\u0441\u0442\u0443\u043f \u043a ClickHouse \u0438\u0437 PostgreSQL \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0432\u043d\u0435\u0448\u043d\u0435\u0439 \u043e\u0431\u043e\u043b\u043e\u0447\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 (FDW)? \u0418\u0441\u0441\u043b\u0435\u0434\u0443\u0435\u043c\u044b\u043c\u0438 \u0441\u0440\u0435\u0434\u0430\u043c\u0438 \u0431\u0430\u0437 \u0434\u0430\u043d\u043d\u044b\u0445 \u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f PostgreSQL v11, clickhousedb_fdw\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/prohoster.info\/bg\/blog\/administrirovanie\/testirovanie-proizvoditelnosti-analiticheskih-zaprosov-v-postgresql-clickhouse-i-clickhousedb_fdw-postgresql\" \/>\n\t\t<meta property=\"og:image\" 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