First, complete the :ref:`installation` process.
In this example we'll compute some basic statistics on a day's worth of Wikipedia page view data. Each record in the dataset contains hourly page view statistics for every Wikipedia page. The record format is as follows:
hour | project | page title | view count | bytes served
First, let's create our continuous view using psql
:
psql -c "
CREATE FOREIGN TABLE wiki_stream (
hour timestamp,
project text,
title text,
view_count bigint,
size bigint)
SERVER pipelinedb;
CREATE VIEW wiki_stats WITH (action=materialize) AS
SELECT hour, project,
count(*) AS total_pages,
sum(view_count) AS total_views,
min(view_count) AS min_views,
max(view_count) AS max_views,
avg(view_count) AS avg_views,
percentile_cont(0.99) WITHIN GROUP (ORDER BY view_count) AS p99_views,
sum(size) AS total_bytes_served
FROM wiki_stream
GROUP BY hour, project;"
Now we'll decompress the dataset as a stream and write it to stdin
, which can be used as an input to COPY
:
curl -sL http://pipelinedb.com/data/wiki-pagecounts | gunzip | \
psql -c "
COPY wiki_stream (hour, project, title, view_count, size) FROM STDIN"
Note that this dataset is large, so the above command will run for quite a while (cancel it whenever you'd like). As it's running, select from the continuous view as it ingests data from the input stream:
psql -c "
SELECT * FROM wiki_stats ORDER BY total_views DESC";