Received: from makus.postgresql.org (makus.postgresql.org [98.129.198.125]) by mail.postgresql.org (Postfix) with ESMTP id E12AC2D0B0F for ; Fri, 10 Feb 2012 09:05:42 -0400 (AST) Received: from mail-iy0-f174.google.com ([209.85.210.174]) by makus.postgresql.org with esmtp (Exim 4.72) (envelope-from ) id 1RvqAX-0004MX-0c for pgsql-hackers@postgresql.org; Fri, 10 Feb 2012 13:05:42 +0000 Received: by iacb35 with SMTP id b35so254686iac.19 for ; Fri, 10 Feb 2012 05:05:28 -0800 (PST) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=gamma; h=message-id:date:from:user-agent:mime-version:to:cc:subject :references:in-reply-to:content-type; bh=RY3kJrw0+merNrnwmWt/b7KFr0EIEIxRiy6SI+P7h5w=; b=PYMtfuSseZqVw128DZPMDmZ38/LAmmnveAzjGV+lASutceKvQTwB202k+ttQ6CUmgO ANtHHjKB+0mT728zImx5/a5IkTCPW26zfguFXvJbnOMNYR7NtGu303MoLjqtFtBCWy7v cHUAdjaOAdN0CiTgb0BI7ynPMLnUq4pOwbpCo= Received: by 10.42.142.200 with SMTP id t8mr9969495icu.34.1328879128240; Fri, 10 Feb 2012 05:05:28 -0800 (PST) Received: from [192.168.1.99] ([61.199.203.168]) by mx.google.com with ESMTPS id va6sm2537242igc.4.2012.02.10.05.05.25 (version=SSLv3 cipher=OTHER); Fri, 10 Feb 2012 05:05:27 -0800 (PST) Message-ID: <4F351626.4030500@gmail.com> Date: Fri, 10 Feb 2012 22:05:42 +0900 From: Shigeru Hanada User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:9.0) Gecko/20111222 Thunderbird/9.0.1 MIME-Version: 1.0 To: Etsuro Fujita CC: pgsql-hackers@postgresql.org Subject: Re: WIP: Collecting statistics on CSV file data References: <4E6DE18B.4010505@lab.ntt.co.jp> <4E7861C1.2000607@gmail.com> <4E8EC1D8.3080700@lab.ntt.co.jp> <4E9C6573.8050507@gmail.com> <4E9FF04B.3050504@lab.ntt.co.jp> <4EB7C07A.5030205@gmail.com> <4EC60883.2050905@lab.ntt.co.jp> <4EC648CA.5050904@gmail.com> <4EC9CBC5.3070500@lab.ntt.co.jp> <4EE1FC38.5080707@lab.ntt.co.jp> <4EE5D862.1080809@gmail.com> <4EE74C5F.3000309@lab.ntt.co.jp> <4EE84360.90800@gmail.com> <4EE95BC7.9000101@lab.ntt.co.jp> In-Reply-To: <4EE95BC7.9000101@lab.ntt.co.jp> Content-Type: multipart/mixed; boundary="------------020409070504010101020807" X-Pg-Spam-Score: -2.6 (--) X-Archive-Number: 201202/428 X-Sequence-Number: 202793 This is a multi-part message in MIME format. --------------020409070504010101020807 Content-Type: text/plain; charset=ISO-2022-JP Content-Transfer-Encoding: 7bit (2011/12/15 11:30), Etsuro Fujita wrote: > (2011/12/14 15:34), Shigeru Hanada wrote: >> I think this patch could be marked as "Ready for committer" with some >> minor fixes. Please find attached a revised patch (v6.1). I've tried to make pgsql_fdw work with this feature, and found that few static functions to be needed to exported to implement ANALYZE handler in short-cut style. The "Short-cut style" means the way to generate statistics (pg_class and pg_statistic) for foreign tables without retrieving sample data from foreign server. Attached patch (export_funcs.patch) exports examine_attribute and update_attstats which are necessary to implement ANALYZE handler for pgsql_fdw. In addition to exporting, update_attstats is also renamed to vac_update_attstats to fit with already exported function vac_update_relstats. I also attached archive of WIP pgsql_fdw with ANALYZE support. This version has better estimation than original pgsql_fdw, because it can use selectivity of qualifiers evaluated on local side to estimate number of result rows. To show the effect of ANALYZE clearly, WHERE push-down feature is disabled. Please see pgsqlAnalyzeForeignTable and store_remote_stats in pgsql_fdw.c. I used pgbench_accounts tables with 30000 records, and got reasonable rows estimation for queries below. postgres=# UPDATE pgbench_accounts SET filler = NULL postgres-# WHERE aid % 3 = 0; postgres=# ANALYZE; postgres=# ANALYZE pgbench_accounts; -- needs explicit table name postgres=# EXPLAIN SELECT * FROM pgbench_accounts WHERE filler IS NULL; QUERY PLAN ---------------------------------------------------------------------------------------------------------------------------- Foreign Scan on pgbench_accounts (cost=100.00..40610.00 rows=100030 width=97) Filter: (filler IS NULL) Remote SQL: DECLARE pgsql_fdw_cursor_13 SCROLL CURSOR FOR SELECT aid, bid, abalance, filler FROM public.pgbench_accounts (3 rows) postgres=# EXPLAIN SELECT * FROM pgbench_accounts WHERE aid < 100; QUERY PLAN ---------------------------------------------------------------------------------------------------------------------------- Foreign Scan on pgbench_accounts (cost=100.00..40610.00 rows=96 width=97) Filter: (aid < 100) Remote SQL: DECLARE pgsql_fdw_cursor_14 SCROLL CURSOR FOR SELECT aid, bid, abalance, filler FROM public.pgbench_accounts (3 rows) postgres=# EXPLAIN SELECT * FROM pgbench_accounts WHERE aid < 1000; QUERY PLAN ---------------------------------------------------------------------------------------------------------------------------- Foreign Scan on pgbench_accounts (cost=100.00..40610.00 rows=1004 width=97) Filter: (aid < 1000) Remote SQL: DECLARE pgsql_fdw_cursor_15 SCROLL CURSOR FOR SELECT aid, bid, abalance, filler FROM public.pgbench_accounts (3 rows) In implementing ANALYZE handler, hardest part was copying anyarray values from remote to local. If we can make it common in core, it would help FDW authors who want to implement ANALYZE handler without retrieving sample rows from remote server. Regards, -- Shigeru Hanada --------------020409070504010101020807 Content-Type: text/plain; name="export_funcs.patch" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="export_funcs.patch" Y29tbWl0IGJiMjhjYjVhNjlhYWUzYmQ5YzdmYmViYzhiOTQ4M2QyMzcxMWJlYzQKQXV0aG9y OiBTaGlnZXJ1IEhhbmFkYSA8c2hpZ2VydS5oYW5hZGFAZ21haWwuY29tPgpEYXRlOiAgIFRo dSBGZWIgOSAxNjowNjoxNCAyMDEyICswOTAwCgogICAgRXhwb3J0IGZ1bmN0aW9ucyB3aGlj aCBhcmUgdXNlZnVsIGZvciBGRFcgYW5hbHl6ZSBzdXBwb3J0LgogICAgCiAgICBFeHBvcnQg ZXhhbWluZV9hdHRyaWJ1dGUgYW5kIHVwZGF0ZV9hdHRzdGF0cyAod2l0aCByZW5hbWluZyB0 bwogICAgdmFjX3VwZGF0ZV9hdHRzdGF0cykgd2hpY2ggYXJlIHVzZWZ1bCAoYW5kIG5lYWx5 IHJlcXVpcmVkKSB0byBpbXBsZW1lbnQKICAgIHNob3J0LWN1dCB2ZXJzaW9uIG9mIEFOQUxZ WkUgaGFuZGxlciBpbiBGRFdzLgoKZGlmZiAtLWdpdCBhL3NyYy9iYWNrZW5kL2NvbW1hbmRz L2FuYWx5emUuYyBiL3NyYy9iYWNrZW5kL2NvbW1hbmRzL2FuYWx5emUuYwppbmRleCA2YTIy ZDQ5Li5kMGEzMjNhIDEwMDY0NAotLS0gYS9zcmMvYmFja2VuZC9jb21tYW5kcy9hbmFseXpl 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