Author: depesz

Waiting for PostgreSQL 12 – Generated columns

On 30th of March 2019, Peter Eisentraut committed patch:

Generated columns
 
This is an SQL-standard feature that allows creating columns that are
computed from expressions rather than assigned, similar to a view or
materialized view but on a column basis.
 
This implements one kind of generated column: stored (computed on
write).  Another kind, virtual (computed on read), is planned for the
future, and some room is left for it.
 
Discussion: https://www.postgresql.org/message-id/flat/-4019-bdb1-699e-@2ndquadrant.com

Continue reading Waiting for PostgreSQL 12 – Generated columns

Waiting for PostgreSQL 12 – REINDEX CONCURRENTLY

On 29th of March 2019, Peter Eisentraut committed patch:

REINDEX CONCURRENTLY 
 
This adds the CONCURRENTLY option to the REINDEX command.  A REINDEX
CONCURRENTLY on a specific index creates a new index (like CREATE
INDEX CONCURRENTLY), then renames the old index away and the new index
in place and adjusts the dependencies, and then drops the old
index (like DROP INDEX CONCURRENTLY).  The REINDEX command also has
the capability to run its other variants (TABLE, DATABASE) with the
CONCURRENTLY option (but not SYSTEM).
 
The reindexdb command gets the --concurrently option.
 
Author: Michael Paquier, Andreas Karlsson, Peter Eisentraut
 
Discussion: https://www.postgresql.org/message-id/flat/-956b-4478-45ed-%402ndquadrant.com#

Continue reading Waiting for PostgreSQL 12 – REINDEX CONCURRENTLY

Migrating simple table to partitioned. How?

Recently someone asked, on irc, how to make table partitioned.

The thing is that it was supposed to be done with new partitioning, and not the old way.

The problem is that while we can create table that will be seen as partitioned – we can't alter table to become partitioned.

So. Is it possible?

Continue reading Migrating simple table to partitioned. How?

Waiting for PostgreSQL 12 – Partial implementation of SQL/JSON path language

On 16th of March 2019, Alexander Korotkov committed patch:

Partial implementation of SQL/JSON path language
 
SQL 2016 standards among other things contains set of SQL/JSON features for
JSON processing inside of relational database.  The core of SQL/JSON is JSON
path language, allowing access parts of JSON documents and make computations
over them.  This commit implements partial support JSON path language as
separate datatype called "jsonpath".  The implementation is partial because
it's lacking datetime support and suppression of numeric errors.  Missing
features will be added later by separate commits.
 
Support of SQL/JSON features requires implementation of separate nodes, and it
will be considered in subsequent patches.  This commit includes following
set of plain functions, allowing to execute jsonpath over jsonb values:
 
 * jsonb_path_exists(jsonb, jsonpath[, jsonb, bool]),
 * jsonb_path_match(jsonb, jsonpath[, jsonb, bool]),
 * jsonb_path_query(jsonb, jsonpath[, jsonb, bool]),
 * jsonb_path_query_array(jsonb, jsonpath[, jsonb, bool]).
 * jsonb_path_query_first(jsonb, jsonpath[, jsonb, bool]).
 
This commit also implements "jsonb @? jsonpath" and "jsonb @@ jsonpath", which
are wrappers over jsonpath_exists(jsonb, jsonpath) and jsonpath_predicate(jsonb,
jsonpath) correspondingly.  These operators will have an index support
(implemented in subsequent patches).
 
Catversion bumped, to add new functions and operators.
 
Code was written by Nikita Glukhov and Teodor Sigaev, revised by me.
Documentation was written by Oleg Bartunov and Liudmila Mantrova.  The work
was inspired by Oleg Bartunov.
 
Discussion: https://postgr.es/m/-b497-f39a-923d-%402ndQuadrant.com
Author: Nikita Glukhov, Teodor Sigaev, Alexander Korotkov, Oleg Bartunov, Liudmila Mantrova

Continue reading Waiting for PostgreSQL 12 – Partial implementation of SQL/JSON path language

visual sleep in shell, and shell_utils repo information

I wrote previously about tmux_send_to_many and group_by shell tools that I authored.

Since then I got some more ideas for changes, and for new tool, so figured I'll make an honest git repo for it. Repo is on GitLab, and all the tools inside can be freely used.

While I was doing it, I fixed some things in tmux_send_to_many.

And then – I remembered that for long time I was missing “visual-sleep" type of tool. One that will show some progress information while it's working.

Enter vsleep.

Continue reading visual sleep in shell, and shell_utils repo information

why-upgrade updates

Recent change in layout of PG Docs broke my spider for why-upgrade.depesz.com.

Today got some time and decided to bite the bullet.

Fixed spider code, used it to get new changelog, and while I was at it, did couple of slight modifications of the site:

  • display count of all changes that are there in given upgrade path (in section header)
  • fixed a bug that caused empty Security fixes: box to display, even when there are no security fixes.
  • added metainfo page, which shows some stats about why-upgrade “database".

All in all, not big changes, but I hope you'll find it useful.

Waiting for PostgreSQL 12 – Allow user control of CTE materialization, and change the default behavior.

On 16th of February 2019, Tom Lane committed patch:

Allow user control of CTE materialization, and change the default behavior.
 
Historically we've always materialized the full output of a CTE query,
treating WITH as an optimization fence (so that, for example, restrictions
from the outer query cannot be pushed into it).  This is appropriate when
the CTE query is INSERT/UPDATE/DELETE, or is recursive; but when the CTE
query is non-recursive and side-effect-free, there's no hazard of changing
the query results by pushing restrictions down.
 
Another argument for materialization is that it can avoid duplicate
computation of an expensive WITH query --- but that only applies if
the WITH query is called more than once in the outer query.  Even then
it could still be a net loss, if each call has restrictions that
would allow just a small part of the WITH query to be computed.
 
Hence, let's change the behavior for WITH queries that are non-recursive
and side-effect-free.  By default, we will inline them into the outer
query (removing the optimization fence) if they are called just once.
If they are called more than once, we will keep the old behavior by
default, but the user can override this and force inlining by specifying
NOT MATERIALIZED.  Lastly, the user can force the old behavior by
specifying MATERIALIZED; this would mainly be useful when the query had
deliberately been employing WITH as an optimization fence to prevent a
poor choice of plan.
 
Andreas Karlsson, Andrew Gierth, David Fetter
 
Discussion: https://postgr.es/m/87sh48ffhb.fsf@news-spur.riddles.org.uk

Continue reading Waiting for PostgreSQL 12 – Allow user control of CTE materialization, and change the default behavior.

Automation for doing stuff in multiple windows in tmux

Tmux is terminal multiplexer. Kinda like old screen, but with much more functionality.

When I work on my servers, it's pretty common that I have to do the same things to multiple servers. To make my life easier I start tmux, and in there start many “windows", each related to work on single server.

I name the windows in a way that let's me quickly find them, without false positives.

For example, if I'd have to upgrade servers db1..db5 then I'd create windows “up-db1" .. “up-db5", and each window would work on single server.

This is already scriptable – let's assume I'd want to show uptime in all of the windows, I can:

tmux lsw -F '#W' | grep -E '^up-db[0-9]+$' | xargs -r -d$'\n' -I% tmux send-keys -t % uptime Enter

But this gets tedious fast.

Continue reading Automation for doing stuff in multiple windows in tmux