streaming_lag 0.0.1

This Release
streaming_lag 0.0.1
Date
Status
Stable
Abstract
A custom background worker process to measure lag in units of time
Released By
opi
License
PostgreSQL
Resources
Special Files
Tags

Extensions

streaming_lag 0.0.1
A custom background worker process to measure lag in units of time

README

streaming_lag

streaming_lag is an experimental extension to measure the lag of a streaming slave in units of time instead of bytes.

The idea is to create a table with exactly one row and one column which is a timestamp. A background process writes this timestamp on a regular basis, like every 1sec. Now, given the master and the slave are time-synchronized via NTP or similar, the difference of clock_timestamp() minus that value on the slave returns a good measure how far it lags behind the master in units of time.

As it is my first extension, this module is also a learning exercise. I have tested it only on Linux.

Compile and install it

To build it, just do this:

make && sudo make install

You need GNU make and pg_config which comes with Postgres. If you are using a Postgres package provided by the OS vendor, you probably want to install a development package. If pg_config is not found in your $PATH, point the PG_CONFIG environment variable to it:

PG_CONFIG=/path/to/pg_config make -e && sudo PG_CONFIG=/path/to/pg_config make -e install

Create and configure the extension

The next step is to create the extension and to configure it. Since streaming replication works on the whole cluster, the extension is installed in exactly one database of the cluster. By default this is postgres. So, log in to the database as superuser:

psql postgres postgres

and create the extension:

CREATE EXTENSION streaming_lag;

This command creates 2 objects, a table called streaming_lag_data and a view called streaming_lag. By default they are created in the public schema. However, you can create them in a different schema:

CREATE EXTENSION streaming_lag SCHEMA lag;

You can also move the objects later to a different schema using:

ALTER EXTENSION streaming_lag SET SCHEMA my_lag;

Once the extension is created, you need to add a few values to your postgresql.conf:

shared_preload_libraries = 'streaming_lag' streaming_lag.database = 'postgres' streaming_lag.schema = 'public' streaming_lag.precision = 5000

If you already have set shared_preload_libraries, append streaming_lag to it separated by a comma, e.g.

shared_preload_libraries = 'pg_stat_statements,streaming_lag'

Next, restart the database. You should see the following lines in the log file:

LOG: registering background worker "streaming_lag" LOG: loaded library "streaming_lag" LOG: starting background worker process "streaming_lag" LOG: streaming_lag: initialized, database objects validated

Configuration variables

  • streaming_lag.database specifies the database where the extension was created. To change the value postgres has to be restarted.
  • streaming_lag.schema the schema To change the value postgres has to be restarted.
  • streaming_lag.precision specifies the frequency at which the timestamp is written in milliseconds. By default a timestamp is written every 5000ms. This value can be changed in SIGHUP context. That means a full restart is not required. Just change the value in the postgresql.conf and reload the database:

sudo -u postgres pg_ctl reload -D /path/to/data/directory

If streaming_lag.precision is set to 0, the table is not updated anymore. You can use that to temporary disable the feature. In that case the lag reported on the slave will be growing with time.

Usage

Provided both, master and slave, have synchronized clocks, you can measure the lag on the slave by:

``` postgres=# select * from lag.streaming_lag;

lag

00:00:04.647359 (1 row) ```

A quick test

For a quick test, I configured streaming replication over WIFI to my notebook and installed the extension. Then I created a table with 10000000 rows and 1 column.

Using

sql select clock_timestamp(), * from streaming_lag; \watch 1

in psql I watched the lag on the notebook while

sql UPDATE tbl SET i=i;

Then I used the output produced to generate this image:

diagram: streaming lag