pulley

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[build]
  kill_delay = "1s"
  send_interrupt = true

Get Movie

curl -i http://0.0.0.0:5002/v1/movies/1

Creating a movie

curl -i -X POST -d '{"title":"Passengers","year":2016,"runtime":"120 mins", "genres":["comedy","adventure"]}' http://0.0.0.0:5002/v1/movies

curl -i -X POST -d '{"title":"The Batman","year":2022,"runtime":"177 mins", "genres":["action","adventure"]}' http://0.0.0.0:5002/v1/movies

curl -i -X POST -d '{"title":"Death of a Unicorn","year":2025,"runtime":"126 mins", "genres":["comedy","satire"]}' http://0.0.0.0:5002/v1/movies

BODY='{"title":"Black Panther","year":2018,"runtime":"134 mins","genres":["sci-fi","action","adventure"]}'
curl -X PUT -d "$BODY" http://0.0.0.0:5002/v1/movies/1

Generating an Update Conflict

We can try to use the xargs tool to submit multiple requests to our webserver. Hopefully this results in the 409 that we are looking to create.

xargs -I % -P8 curl -X PATCH -d '{"runtime": "97 mins"}' "localhost:5002/v1/movies/4" < <(printf '%s\n' {1..8})

Adding Time Taken To You Curl Request

Use the -w to anotate the response https://blog.josephscott.org/2011/10/14/timing-details-with-curl/

curl -w '\nTime: %{time_total}s \n' localhost:5002/v1/movies/4
{
        "movie": {
                "id": 4,
                "title": "The Batman",
                "year": 2021,
                "Runtime": "97 mins",
                "genres": [
                        "action",
                        "adventure"
                ],
                "version": 5
        }
}

Time: 8.009385s

Timeout a Curl Request

We can timeout our curl request like so

curl --max-time 2 localhost:5002/v1/movies/4

Migrations

Don't forget that the migrate tool can be used to create the stub of your index files.

migrate create -seq -ext .sql -dir ./migrations add_movies_indexes

To run migrations from the cmdline you need to have the pgx5 installed

go install -tags 'pgx5' github.com/golang-migrate/migrate/v4/cmd/migrate@latest

Then you need to specify a database uri

migrate -dir ./migrations -database "pgx://pulley:pulley@localhost:5434/pulley" goto 2

Postgres

en.wikipedia.org/wiki/Stemming

We are using the postgres simple type for full text search but we could use some of the more advanced options for this like english. This will perform stemming for us and resulting in common words like "a" or "the" from appearing in the lexemes it generates.

Check out \dF for all the available configurations. See the docs for more about full text search. https://www.postgresql.org/docs/current/textsearch.html

Other Resources

https://niallburkley.com/blog/index-columns-for-like-in-postgres/

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