I am glad to announce the beta release of TPC-C.js, which implements one of the most popular database benchmarks, TPC-C. It’s not a coincidence that today is also the 22nd anniversary of the TPC-C benchmark.

It currently supports Postgres database, but can be easily extended to test other database systems.

You might ask “Why another TPC-C implementation when we already have so many of them?”“

Short answer: This one is very light on system resources, so you can

1. Run the benchmark strictly adhering to the specification, and
2. Invest more in database hardware, rather than client hardware.

Long answer: It’s covered in the Motivation section of TPC-C.js, which I’ll quote here:

Motivation

The TPC-C benchmark drivers currently available to us, like TPCC-UVa, DBT2, HammerDB, BenchmarkSQL, etc., all run one process (or thread) per simulated client. Because the TPC-C benchmark specification limits the max tpmC metric (transactions per minute of benchmark-C) from any single client to be 1.286 tpmC, this means that to get a result of, say, 1 million tpmC we have to run about 833,000 clients. Even for a decent number as low as 100,000 tpmC, one has to run 83,000 clients.

Given that running a process/thread, even on modern operating systems, is a bit expensive, it requires a big upfront investment in hardware to run the thousands of clients required for driving a decent tpmC number. For example, the current TPC-C record holder had to run 6.8 million clients to achieve 8.55 million tpmC, and they used 16 high-end servers to run these clients, which cost them about $ 220,000 (plus $ 550,000 in client-side software).

So, to avoid those high costs, these existing open-source implementations of TPC-C compromise on the one of the core requirements of the TPC-C benchmark: keying and thinking times. These implementations resort to just hammering the SUT (system under test) with a constant barrage of transactions from a few clients (ranging from 10-50).

So you can see that even though a decent modern database (running on a single mach

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Postgres 9.5 is coming up with a new ECHO mode for psql that has been introduced by this commit:

commit: 5b214c5dd1de37764797b3fb9164af3c885a7b86
author: Fujii Masao <fujii@postgresql.org>
date: Thu, 10 Jul 2014 14:27:54 +0900
Add new ECHO mode 'errors' that displays only failed commands in psql.

When the psql variable ECHO is set to 'errors', only failed SQL commands
are printed to standard error output. Also this patch adds -b option
into psql. This is equivalent to setting the variable ECHO to 'errors'.

Pavel Stehule, reviewed by Fabrízio de Royes Mello, Samrat Revagade,
Kumar Rajeev Rastogi, Abhijit Menon-Sen, and me.

Up to now, there have been two ECHO modes:

• "all", to print to the standard output all the queries before they are parsed or executed. This can be set when starting psql with option -a.
• "queries", to have psql print all the queries sent to server. This can be set additionally with option -e of psql.

The new mode is called "errors" and can be either set with the option -b when starting psql or with "set" command in a psql client like that:

=# \set ECHO errors

The feature added is simple: have psql print all the failed queries in the standard error output. The failed query is printed in an additional field prefixed with STATEMENT:

=# CREATE TABLES po ();
ERROR:  42601: syntax error at or near "TABLES"
LINE 1: CREATE TABLES po ();
           ^
LOCATION:  scanner_yyerror, scan.l:1053
STATEMENT:  CREATE TABLES po ();

If multiple queries are specified within a single input only the query that failed is displayed:

=# CREATE TABLE aa (a int); CREATE FOO po; CREATE TABLE bb (a int);
CREATE TABLE
ERROR:  42601: syntax error at or near "FOO"
LINE 1: CREATE FOO po;
               ^
LOCATION:  scanner_yyerror, scan.l:1053
STATEMENT:  CREATE FOO po;
CREATE TABLE

Also, queries that are typed in multiple lines are showed as they are, spaces included:

=# SELECT
      col1_not_here,
      col2_not_here
   FROM
      table_not_here;
ERROR:  42P01: relation "table_not_here" does not exist
LINE 

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When: 7-8pm Tuesday
Where: Oregon Convention Center, Room E147

We’re having a Birds of a Feather session at OSCON instead of our usual July meeting. Come hang out with Pg peeps who are in town for the conference! You do not need to be registered for the conference to attend the BoF.

There will be an additional social hour afterwards should we need it.

See you there!

PostgreSQL can, as many other products, use SSL to secure client/server communications. It can be configured to be optional or required, to require a client certificate, or even to use the SSL client certificate to log in. However, the DBA tools are currently a bit lacking in this regard. In particular, there is no way for a DBA to see what SSL parameters are in force (or indeed if SSL is enabled at all) for an already existing connection.

There are multiple ways to see the status of a specific connection (such as the libpq PQgetssl() function, the psql startup message or the sslinfo module. Unfortunately all these methods have one thing in common - they are only available to the process making the connection to the database, not to a DBA inspecting the system from the outside.

LOG:  connection authorized: user=mha database=postgres SSL enabled (protocol=TLSv1.1, cipher=ECDHE-RSA-AES256-SHA)

But this can still be a bit of a pain to figure out for existing connectioons of course.

To deal with this problem, I've written a small PostgreSQL extension called pg_sslstatus. When loaded using shared_preload_libraries it will keep track of the SSL status for each connection, and expose it through a system view named pg_sslstatus like this:

postgres=# SELECT * FROM pg_sslstatus;
  pid  | ssl | bits | compression | version |        cipher        |                         clientdn                         
-------+-----+------+-------------+---------+----------------------+----------------------------------------------------------
 27286 | t   |  256 | f           | TLSv1   | ECDHE-RSA-AES256-SHA | 
 26682 | t   |  256 | t           | TLSv1   | ECDHE-RSA-AES256-SHA | /C=AU/ST=Some-State/O=Internet Widgits Pty Ltd/CN=magnus
 26693 | f   |      |             |         |                      | 
(3 rows)

It will include one row for each connection, and can then be joined with either pg_stat_activity or

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IMPORT FOREIGN SCHEMA is a SQL query defined in the SQL specification allowing to import from a foreign source a schema made of foreign tables. Its support has been added in Postgres 9.5 with the following commit:

commit 59efda3e50ca4de6a9d5aa4491464e22b6329b1e
Author: Tom Lane <tgl@sss.pgh.pa.us>
Date:   Thu Jul 10 15:01:31 2014 -0400

Implement IMPORT FOREIGN SCHEMA.

This command provides an automated way to create foreign table definitions
that match remote tables, thereby reducing tedium and chances for error.
In this patch, we provide the necessary core-server infrastructure and
implement the feature fully in the postgres_fdw foreign-data wrapper.
Other wrappers will throw a "feature not supported" error until/unless
they are updated.

Ronan Dunklau and Michael Paquier, additional work by me

This feature is made of two parts:

• New API available for foreign data wrappers to support this SQL query
• Support for this query in postgres_fdw, foreign-data wrapper (FDW) for PostgreSQL available in core.

The new API available has the following shape:

List *
ImportForeignSchema (ImportForeignSchemaStmt *stmt, Oid serverOid);

ImportForeignSchemaStmt is a parsed representation of the raw query of IMPORT FOREIGN SCHEMA and serverOid is the OID of the FDW server used for the import. The parsed statement contains all the information needed by a FDW to fetch all the information to rebuild a schema fetched from a remote source, mainly being:

• Type of import done with stmt->list_type with the table list (not for ALL)
  • FDW_IMPORT_SCHEMA_LIMIT_TO (LIMIT clause specified in query) for a restricted list of table names imported
  • FDW_IMPORT_SCHEMA_EXCEPT (EXCEPT clause specified in query) for a list of tables to not fetch during import
  • FDW_IMPORT_SCHEMA_ALL (no LIMIT TO or EXCEPT clauses in query) to let the FDW know that all the tables from the foreign schema
• Remote schema name
• List of options to customize the import

Then this API needs to return a list of raw queries that will be applied as-is by the server after pars

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Photo by Benson Kua

I work with a lot of open source projects, and I use the command-line for almost everything. It often happens that I need to examine a file from a project, and thanks to bash, Github, and curl, I can do so easily, without even needing to have the repo handy. One of the things I do sometimes is compare a file across versions to see what has changed. For example, I needed to see what changes were made between versions 1.22 and 1.23 to the file includes/UserMailer.php which is part of the MediaWiki project. For this trick to work, the project must be on Github, and must label their versions in a consistent manner, either via git branches or git tags.

MediaWiki exists on Github as wikimedia/mediawiki-core. The MediaWiki project tags all of their releases in the format X.Y.Z, so in this example we can use the git tags 1.22.0 and 1.23.0. Github is very nice because you can view a specific file at a certain commit (aka a tag), and even grab it over the web as a plain text file. The format is:

https://raw.githubusercontent.com/PROJECTNAME/BRANCH-OR-TAG/FILE

Note that you can use a tag OR a branch! So to compare these two files, we can use one of these pairs:

https://raw.githubusercontent.com/wikimedia/mediawiki-core/REL1_21/includes/UserMailer.php
https://raw.githubusercontent.com/wikimedia/mediawiki-core/REL1_22/includes/UserMailer.php

https://raw.githubusercontent.com/wikimedia/mediawiki-core/1.21.0/includes/UserMailer.php
https://raw.githubusercontent.com/wikimedia/mediawiki-core/1.22.0/includes/UserMailer.php

All that is left is to treat git as a web service and compare the two files at the command line ourselves. The program curl is a great tool for downloading the files, as it dumps to stdout by default. We will add a -s flag (for "silent") to prevent it from showing the progress meter as it usually does. The last bit of the puzzle is to use <(), bash's process substitution feature, to trick diff into comparing the curl outputs as if they were files. So our final command is:

diff <(curl -

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Just a quick reminder that Dallas/Fort Worth PostgreSQL Users Group has a Meetup the first Wednesday of every month.

What: PostgreSQL-backed Websites: Middleware Considered Harmful

Who: Justin Tocci

When: Wednesday, August 6, 2014 7:00 PM

Where:
Improving Enterprises
16633 Dallas Parkway Suite 110 Addison, TX 75001

DFW PUG on Meetup

Just a quick public service announcement for blog followers in the Pacific Northwest and environs: you've got a once in a not-quite-lifetime opportunity to attend the "Free and Open Source Software for Geospatial" (aka FOSS4G) conference this year in nearby Portland, Oregon, a city so hip they have trouble seeing over their pelvis.

Anyone in the GIS / mapping world should take the opportunity to go, to learn about what technology the open source world has available for you, to meet the folks writing the software, and the learn from other folks like you who are building cool things.

September 8th-13th, be there and be square.

ERROR: column "hidehelm" is of type integer but expression is of type boolean
 Hint: You will need to rewrite or cast the expression.

postgres=# insert into tarik values (1::boolean);
ERROR:  column "t" is of type integer but expression is of type boolean
LINE 1: insert into tarik values (1::boolean);
HINT:  You will need to rewrite or cast the expression.

postgres=# select * from pg_cast where castsource='boolean'::regtype and casttarget='int4'::regtype;
castsource | casttarget | castfunc | castcontext | castmethod
------------+------------+----------+-------------+------------
         16 |         23 |     2558 | e           | f
(1 row)

postgres=# update pg_cast set castcontext ='i' where castsource='boolean'::regtype and casttarget='int4'::regtype;
UPDATE 1

postgres=# select * from pg_cast where castsource='boolean'::regtype and casttarget='int4'::regtype;
 castsource | casttarget | castfunc | castcontext | castmethod 
------------+------------+----------+-------------+------------
         16 |         23 |     2558 | i           | f
(1 row)

postgres=# insert into tarik values (1::boolean);

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postgres=# select count(*) from to_be_damaged ;
  count 
---------
 1000000
(1 row)
postgres=# select relfilenode,relname from pg_class where relname='to_be_damaged';
relfilenode |    relname   
-------------+---------------
       461257 | to_be_damaged

(1 row)

postgres=# select count(*) from to_be_damaged ;
ERROR:  invalid page in block 0 of relation base/12896/461257

postgres=# create table salvaged(t int);
CREATE TABLE

create or replace function salvage_damaged()
  returns void
  language plpgsql
as $$
declare
  pageno int;
  tupno int;
  pos tid;
begin
  <<pageloop>>
  for pageno in 0..35930 loop  -- pg_class.relpages for the damaged table
    for tupno in 1..1000 loop
      pos = ('(' || pageno || ',' || tupno || ')')::tid;
      begin
        insert into salvaged select * from damaged where ctid = pos;
      exception
        when sqlstate 'XX001' then
          raise warning 'skipping page %', pageno;
          continue pageloop;
        when others then
          raise warning 'skipping row %', pos;
      end;
    end loop;
  end loop;
end;
$$;

postgres# select salvage_damaged();
WARNING: skipping page 0
salvage_damaged
-----------------

(1 row)
postgres=# select

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Postgres 9.5 is going to improve the performance of subqueries using window functions by allowing the pushdown of WHERE clauses within them. Here is a commit, done during commit fest 1, that is the origin of this improvement:

commit d222585a9f7a18f2d793785c82be4c877b90c461
Author: Tom Lane <tgl@sss.pgh.pa.us>
Date:   Fri Jun 27 23:08:08 2014 -0700

Allow pushdown of WHERE quals into subqueries with window functions.

We can allow this even without any specific knowledge of the semantics
of the window function, so long as pushed-down quals will either accept
every row in a given window partition, or reject every such row.  Because
window functions act only within a partition, such a case can't result
in changing the window functions' outputs for any surviving row.
Eliminating entire partitions in this way obviously can reduce the cost
of the window-function computations substantially.

David Rowley, reviewed by Vik Fearing; some credit is due also to
Thomas Mayer who did considerable preliminary investigation.

The pushdown of the WHERE qual is done only if two conditions are satisfied:

• Only the partitioning columns are referenced
• The qual contains no volatile functions

Let's have a look at how things are improved by using a simple data set: a list of individuals referenced by an ID, with information about the city where they live and their respective age (the authorities lacked imagination for the city names).

=# CREATE TABLE population (
     person_id serial,
     age int,
     city text);
CREATE TABLE
=# INSERT INTO population (age, city)
     SELECT round(random() * 100),
            'city ' || round(random() * 200)
     FROM generate_series(1, 1000000);
INSERT 0 1000000

Now, here is a query that evaluates the average, minimum and maximum age of the cities where the population is living. If 9.4, this query returns the following plan:

=# EXPLAIN SELECT * FROM
     (SELECT city,
        avg(age) OVER (PARTITION BY city) avg_age,
        min(age) OVER (PARTITION BY city) min_age,
        max(age) OVER

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As you probably know PostgreSQL sources are managed by Git version control system. Which is great, but for me as SVN user it would be much better to get access to the sources using familiar tools, e.g. TortoiseSVN. Mainly because I don’t need write access, read mode only. There is a workaround for such guys.

First of all, there is a mirror of PostgreSQL sources on the GitHub. And the second, GitHub supports SVN protocol using the bridge to communicate svn commands to GitHub.

So in my case I need only trunk with the latest commits. I’ve created an empty folder and made Checkout to the https://github.com/postgres/postgres/trunk URL.

Just a reminder that the Djangocon US 2014 Call for Proposals ends July 15, 2014… we would love your talks and tutorials!

Just a quick reminder that Dallas/Fort Worth PostgreSQL Users Group has a Meetup the first Wednesday of every month.

What: Brainstorming on Crypto-Digests and Relational Databases

Who: John Scott

When: Wednesday, July 2, 2014 7:00 PM

Where:
Improving Enterprises
16633 Dallas Parkway Suite 110 Addison, TX 75001

DFW PUG on Meetup

Here’s a quick snippet that I wrote because I needed a media calendar that covers the time period of most living people. Hopes this helps keep somebody from typing this up themselves.

CREATE TABLE calendar (id bigserial primary key,
gregorian_date date not null,
 long_date text,
  day_of_week text,
  day_in_week smallint,
  day_number_in_month smallint,
  day_number_in_year smallint,
  last_day_in_week boolean,
  last_day_in_month boolean,
  week_ending_day date,
  month_ending_day date,
  week_in_month smallint,
  week_in_year smallint,
  month_name text,
  month_number smallint,
  year_month text,
  quarter text,
  year_quarter text,
  year_number smallint,
  roman_year text,
  roman_month text,
  roman_day text,
  load_date timestamp with time zone NOT NULL DEFAULT now())
  ;

COMMENT ON COLUMN calendar.gregorian_date IS 'Date in current calendar';
COMMENT ON COLUMN calendar.long_date IS 'Date in full formal notation';
COMMENT ON COLUMN calendar.day_of_week IS 'Text representation of the day of week';
COMMENT ON COLUMN calendar.day_in_week IS 'Numeric position of the day in the week';
COMMENT ON COLUMN calendar.day_number_in_month IS 'Numeric position of the day in the month';
COMMENT ON COLUMN calendar.day_number_in_year IS 'Numeric position of the day within the year';
COMMENT ON COLUMN calendar.last_day_in_week IS 'Is this the last day of the week';
COMMENT ON COLUMN calendar.last_day_in_month IS 'Is this the last day of the month';
COMMENT ON COLUMN calendar.week_ending_day IS 'What is the date of Saturday in this week';
COMMENT ON COLUMN calendar.month_ending_day IS 'Is this the last day of the week (saturday)';
COMMENT ON COLUMN calendar.week_in_month IS 'Numeric position of the week in the month';
COMMENT ON COLUMN calendar.week_in_year IS 'Numeric position of the week in the year';
COMMENT ON COLUMN calendar.month_name IS 'Text name of the month';
COMMENT ON COLUMN calendar.month_number IS 'Numeric value of the month in year';
COMMENT ON COLUMN calendar.year_month IS 'YYYY-MM formatted';
COMMENT ON CO

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Here is a small feature that has showed up during the first commit fest of Postgres 9.5 allowing to add complementary information in the process names displayed by a server:

commit 51adcaa0df81da5e94b582d47de64ebb17129937
Author: Andres Freund <andres@anarazel.de>
Date:   Sun Jun 29 14:15:09 2014 +0200

Add cluster_name GUC which is included in process titles if set.

When running several postgres clusters on one OS instance it's often
inconveniently hard to identify which "postgres" process belongs to
which postgres instance.

Add the cluster_name GUC, whose value will be included as part of the
process titles if set. With that processes can more easily identified
using tools like 'ps'.

To avoid problems with encoding mismatches between postgresql.conf,
consoles, and individual databases replace non-ASCII chars in the name
with question marks. The length is limited to NAMEDATALEN to make it
less likely to truncate important information at the end of the
status.

Thomas Munro, with some adjustments by me and review by a host of people.

This is helpful to identify to which server is attached a process when running multiple instances on the same host, here is for example the case of two nodes: a master and a standby (feel free to not believe that by the way!).

$ psql -At -p 5432 -c 'show cluster_name'
master
$ psql -At -p 5433 -c 'show cluster_name'
standby
$ ps x | grep "master\|standby" | grep -v 'grep'
80624   ??  Ss     0:00.00 postgres: standby: logger process
80625   ??  Ss     0:00.02 postgres: standby: startup process   recovering 000000010000000000000004
80633   ??  Ss     0:00.01 postgres: standby: checkpointer process
80634   ??  Ss     0:00.07 postgres: standby: writer process
80635   ??  Ss     0:00.00 postgres: standby: stats collector process
80655   ??  Ss     0:00.00 postgres: master: logger process
80657   ??  Ss     0:00.01 postgres: master: checkpointer process
80658   ??  Ss     0:00.07 postgres: master: writer process
80659   ??  Ss     0:00.04 postgres: master: wal writer process
80660

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postgres=# select oid::regprocedure, plpgsql_check_function(oid::regprocedure) from pg_proc where prolang = 12599 and prorettype 

 2279;
      oid      │                         plpgsql_check_function                          
───────────────┼─────────────────────────────────────────────────────────────────────────
 bubu(integer) │ error:42702:3:RETURN:column reference "a" is ambiguous
 bubu(integer) │ Query: SELECT (select * from t where t.a = a)
 bubu(integer) │ --                                         ^
 bubu(integer) │ Detail: It could refer to either a PL/pgSQL variable or a table column.
(4 rows)

Time: 4.857 ms

You have arrived at the final chapter of this PostGIS introduction series. Before continuing, I recommend you read chapter one and chapter two first.

In the last chapter we finished by doing some real world distance measuring and we saw how different projections pushed forward different results.

Today I would like to take this practical approach a bit further and continue our work with real world data by showing you around the town of Kin in Okinawa. The town where I live.

A word before we start

In this chapter I want to do a few experiments together with you on real world data. To gather this data, I would like to use OpenStreetMap because it is not only open but also gives us handy tools to export map information.

We will use a tool called osm2pgsql to load our OSM data into PostGIS enable tables.

However, it is more common to import and export real world GIS data by using the semi-closed ESRI standard shapefile format. OpenStreetMap does not support exporting to this shapefile format directly, but exports to a more open XML file (.osm) instead.

Therefor, near the end of this post, we will briefly cover these shapefiles as well and see how we could import them into our PostgreSQL database. But for the majority of our work today, I will focus on the OpenStreetMap approach.

The preparation

Let us commence with this adventure by first getting all the GIS data related to the whole of Okinawa. We will only be interested in the data related to Kin town, but I need you to pull in a data set that is large enough (but still tiny in PostgreSQL terms) for us to experiment with indexing.

Hop online and download the file being served at the following URL: openstreetmap.org Okinawa island It is a file of roughly 180 Mb and covers most of the Okinawan main island. Save the presented "map" file.

Next we will need to install a third party tool which is specifically designed to import this OSM file into PostGIS. This tool is called osm2pgsql and is available in many Linux distributions.

On a Debian system:

apt-get install osm

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A few weeks ago, I published a query to estimate index bloat. Since then, I went back on this query a few times to fix some drawbacks:

• making it compatible from PostgreSQL 7.4 to latest releases
• restrict to B-tree index only
• remove psql variables (sorry for code readability and documentation)
• improve 64 vs. 32 bits detection

This last one is actually far from perfect. Very bad estimation could arise if the query is wrong about this size of pointers.

New version

Here is the gist of the new version of this query if you want to comment/patch: https://gist.github.com/ioguix/c29d5790b8b93bf81c27

And the code itself:

SELECT current_database(), nspname AS schemaname, c.relname AS tablename, indexname, bs*(sub.relpages)::bigint AS real_size,
  bs*otta::bigint as estimated_size,
  bs*(sub.relpages-otta)::bigint                                     AS bloat_size,
  bs*(sub.relpages-otta)::bigint * 100 / (bs*(sub.relpages)::bigint) AS bloat_ratio
  -- , index_tuple_hdr_bm, maxalign, pagehdr, nulldatawidth, nulldatahdrwidth, datawidth, sub.reltuples, sub.relpages -- (DEBUG INFO)
FROM (
  SELECT bs, nspname, table_oid, indexname, relpages, coalesce(
      ceil((reltuples*(4+nulldatahdrwidth))/(bs-pagehdr::float)) + 1, 0 -- ItemIdData size + computed avg size of a tuple (nulldatahdrwidth)
    ) AS otta
    -- , index_tuple_hdr_bm, maxalign, pagehdr, nulldatawidth, nulldatahdrwidth, datawidth, reltuples -- (DEBUG INFO)
  FROM (
    SELECT maxalign, bs, nspname, relname AS indexname, reltuples, relpages, relam, table_oid,
      ( index_tuple_hdr_bm +
          maxalign - CASE -- Add padding to the index tuple header to align on MAXALIGN
            WHEN index_tuple_hdr_bm%maxalign = 0 THEN maxalign
            ELSE index_tuple_hdr_bm%maxalign
          END
        + nulldatawidth + maxalign - CASE -- Add padding to the data to align on MAXALIGN
            WHEN nulldatawidth = 0 THEN 0
            WHEN nulldatawidth::integer%maxalign = 0 THEN maxalign
            ELSE nulldatawidth::integer%maxalign
          END
      )::nu

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