You can now run these commands like so:
datasette now publish mydb.db \
--title="My Title" \
--source="Source" \
--source_url="http://www.example.com/" \
--license="CC0" \
--license_url="https://creativecommons.org/publicdomain/zero/1.0/"
This will write those values into the metadata.json that is packaged with the
app. If you also pass --metadata= that file will be updated with the extra
values before being written into the Docker image.
Closes#92
Added a unit test for the sql_time_limit_ms option.
To test this, I needed to add a custom SQLite sleep() function. I've added a
simple mechanism to the Datasette class for registering custom functions.
I also had to modify the sqlite_timelimit() function. It makes use of a magic
value, N, which is the number of SQLite virtual machine instructions that
should execute in between calls to my termination decision function.
The value of N was not finely grained enough for my test to work - so I've
added logic that says that if the time limit is less than 50ms, N is set to 1.
This got the tests working.
Refs #95
The serve command now accepts --sql_time_limit_ms for customizing the SQL time
limit.
The publish and package commands now accept --extra-options which can be used
to specify additional options to be passed to the datasite serve command when
it executes inside the rusulting Docker containers.
If someone executes 'select * from table' against a table with a million rows
in it, we could run into problems: just serializing that much data as JSON is
likely to lock up the server.
Solution: we now have a hard limit on the maximum number of rows that can be
returned by a query. If that limit is exceeded, the server will return a
`"truncated": true` field in the JSON.
This limit can be optionally controlled by the new `--max_returned_rows`
option. Setting that option to 0 disables the limit entirely.
Closes#69
Example usage:
datasette package fivethirtyeight.db \
--tag fivethirtyeight \
--metadata=538-metadata.json
This will create a temporary directory, generate a Dockerfile, copy in the
SQLite database and metadata file, then build that as a new docker image and
tag that in your local Docker repository as fivethirtyeight:latest.
You can then run the image like so:
docker run -p 8006:8001 fivethirtyeight
This will expose port 8001 in the container (the default) as port 8006 on your
host.
Closes#67
