Posts tagged: database

💭 Rewriting SQLite from prison with Preston Thorpe - YouTube

2025-11-02T15:46:38Z

Absolutely incredible what Preston is doing with his time. What a life changing experience this must be for him. Good job to Turso for making this happen. We are going to end up with very feature rich file based databases out of this that the whole world will benefit from.

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 Using Litestream to Restore My Database for Easy Development

2025-09-29T18:49:12Z

Using Litestream to Restore My Database for Easy Development | Nic Payne

Litestream see [[using-litestream-to-backup-quadtasks-sqlite-db]] for how I setup litestream replication for [[quadtask]] I have the entrypoint to my app contai

pype.dev

I really like how well the local dev is setup to run off of production data here. I’ll use this as a reminder that I need to set up lite stream on a few of my projects that it’s missing from and include a nice sync prod data Posts tagged: justfile recipe.

Litestreams interface always throws me for a loop. It works fantastic, but the global config stored in /etc and some of the commands break my brain. It’s not you it’s me.

Using real data when you can is goated. Fake data is so often a perfect example of what someone thinks the backend should look like and does not include things that users actually do, running pipelines for days, or setting titles to paragraphs worth of text. Obviously this is not possible everywhere and the more sensitive your data the harder that process becomes.

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 Meet Gor on X: "SQLite added generated columns in 3.31 (around...

2025-09-16T13:54:52Z

External Link

X (formerly Twitter) · x.com

I’ve never tried generated columns, but it is something that I’m interested in. It is nice to have things computed and in the database if you ever need to query on them. My brain is now churning with possibilities and quesions, does this work with Alembic? How does this compare to views?

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 From Prisma Founder to LiveStore: Building local-first apps wi...

2025-05-31T20:58:05Z

This talk about live store really made me think about database transactions in a new way. They are talking about live-store, and the complexity of distributed applications like a notes app with the ability to go offline and continue working. The complexity of resyncing each instance is not simple, conflict resolution accross all the possible installs that may or may not even be online is a really hard problem. They go deep on discussing an event driven paradigm that is driven off of a log of events and how this changes how we deal with databases. Using the event log as the source of truth we can do things like forget about database migrations, we can replay all of the events onto a new database. Its very interesting to rethink in terms of a log system that speaks in terms of understandable events (not table operations) as the source of truth for an application.

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 Proper handling of None in WHERE condition · Issue #109 · fast...

2024-11-08T13:36:30Z

Proper handling of None in WHERE condition · Issue #109 · fastapi/sqlmodel

First Check I added a very descriptive title to this issue. I used the GitHub search to find a similar issue and didn't find it. I searched the SQLModel documentation, with the integrated search. I...

GitHub · github.com

SQLModel models ship with an is_, and is_not that you can use to compare to None without pesky linters complaining.

This comment summed it up quite well.

I believe this is concerned entirely with SQLAlchemy, not with SQLModel, and has to do with the required semantics to construct a BinaryExpression object. Hero.age == None evaluates to a BinaryExpression object which is eventually used to construct the SQL query that the SQLAlchemy engine issues to your DBMS. Hero.age is None evaluates to False immediately, and not a BinaryExpression, which short-circuits the query no matter the value of age in a row. From a cursory search, it does not seem that the is operator can be overridden in Python. This could help explain why the only possibility is by using the == operator, which can be overridden.

so rather than using Team.heros == None we can use Team.seros.is_(None) which checks for itentity not equality.

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 Aaron Francis on X: "📣 We're excited to announce Mastering Pos...

2024-10-27T02:52:38Z

External Link

X (formerly Twitter) · x.com

Aaron Francis is a database master, pumped for thsi dude and all that he is able to accomplish.

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 Database Remote-Copy Tool For SQLite (draft)

2024-10-05T20:56:49Z

Database Remote-Copy Tool For SQLite (draft)

Neat new SQLite utilities often show up in branches of the SQLite repository. Here's a new one from last month: sqlite3-rsync, providing tools for efficiently creating and updating copies of …

Simon Willison’s Weblog · simonwillison.net

Simon shared a really cool new utility tool for sqlite ispired by rsync. It checks hashes of each sqlite page and syncs pages. So if nothing in the database has changed it will only require 0.5% the bandwidth as a copy would.

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 Sqlite-jiff

2024-07-24T03:12:14Z

sqlite-jiff

I linked to the brand new Jiff datetime library yesterday. Alex Garcia has already used it for an experimental SQLite extension providing a timezone-aware jiff_duration() function - a useful new …

Simon Willison’s Weblog · simonwillison.net

Sqlite is getting rust extensions now, and datetimes make it totally worth if if they work well and and fast, two things that don’t always go together in datetime libraries

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 sql - How can I list the tables in a SQLite database file that...

2024-04-18T01:13:59Z

External Link

stackoverflow.com

I learned about the sqlite_master table from this stack overflow answer. This helps make a lot of sense to how sqlite works. The master table contains all the sqlite objects and the sql to create them.

The .tables, and .schema “helper” functions don’t look into ATTACHed databases: they just query the SQLITE_MASTER table for the “main” database. Consequently, if you used

sqlite3 database.db "SELECT * from sqlite_master;"

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 sql - SQLite: COUNT slow on big tables - Stack Overflow

2024-04-01T20:59:40Z

External Link

stackoverflow.com

Another interesting option for slow count queries in sqlite.

If you haven’t DELETEd any records, doing:

SELECT MAX(ROWID) FROM "table" LIMIT 1;

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 Optimizing SQLite for servers

2024-04-01T20:55:23Z

Optimizing SQLite for servers

SQLite is often misconceived as a "toy database", only good for mobile applications and embedded systems because it's default configuration is optimized for embedded use cases, so most ...

Sylvain Kerkour · kerkour.com

Very interesting article by Sylvain, suggested by Simon Willison.

Definitely some things that I want to come back and try later on.

Here is the TLDR of the whole post

PRAGMA journal_mode = WAL;
PRAGMA busy_timeout = 5000;
PRAGMA synchronous = NORMAL;
PRAGMA cache_size = 1000000000;
PRAGMA foreign_keys = true;
PRAGMA temp_store = memory;

This is interesting, and something I need to consider. I definitely have an application with slow count queries. I am not sure how to make it better as its not a full count(*) so a count table doesn’t work, nor does counting by index.

I might need to have a table of cached results, and if a write matches the counter increase it, or update all counters on write.

COUNT queries are slow SQLite doesn’t keep statistics about its indexes, unlike PostgreSQL, so COUNT queries are slow, even when using a WHERE clause on an indexed field: SQLite has to scan for all the matching records.

One solution is to use a trigger on INSERT and DELETE that updates a running count in a separate table then query that separate table to find the latest count.

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 learning strawberry

2024-03-20T21:43:45Z

![[None]]

import logging
from typing import List

import strawberry
from fastapi import FastAPI
from strawberry.fastapi import GraphQLRouter

logger = logging.getLogger(__name__)

authors = {}
books = {}
book_authors = {}
authors_books = {}


def get_author_for_book(root) -> "Author":
    return authors[book_authors[root.id]]


@strawberry.type
class Book:
    id: int
    title: str
    author: "Author" = strawberry.field(resolver=get_author_for_book)


def get_books_for_author(root) -> List[Book]:
    print(f"getting books for {root}")
    return [books[i] for i in authors_books[root.id]]


@strawberry.type
class Author:
    id: int
    name: str
    books: List[Book] = strawberry.field(resolver=get_books_for_author)


authors = {1: Author(id=1, name="Michael Crichton")}
books = {1: Book(id=1, title="Jurassic Park")}
# relationships
book_authors[1] = 1
authors_books[1] = [1]


def get_author_by_id(id: int) -> Author:
    return authors.get(id)


def get_book_by_id(id: int) -> Book:
    return books.get(id)


def get_authors(root) -> List[Author]:
    return authors.values()


def get_books(root) -> List[Book]:
    print(books)
    print(authors)
    print(book_authors)
    print(authors_books)
    return books.values()


@strawberry.type
class Query:
    author: Author = strawberry.field(resolver=get_author_by_id)
    book: Book = strawberry.field(resolver=get_book_by_id)
    authors: List[Author] = strawberry.field(resolver=get_authors)
    books: List[Book] = strawberry.field(resolver=get_books)

    @strawberry.field
    def hello(self, name: str = None) -> str:
        """this is a resolver for hello, just like authors and books have a resolver"""
        if name is None:
            return "Hello World"
        return f"Hello {name}"


@strawberry.input
class AddBookInput:
    title: str = strawberry.field(description="The title of the book")
    author: str = strawberry.field(description="The name of the author")


@strawberry.type
class Mutation:
    @strawberry.field
    # def add_book(self, title: str, author: str) -> Book:
    def add_book(self, book: AddBookInput) -> Book:
        print(f"i got a book: {book.title}")
        print(f"of type {type(book.title)}")
        name = book.author
        title = book.title
        author = [author for id, author in authors.items() if author.name == name]
        print(f"here are the names {[author.name for id, author in authors.items()]}")
        print(f"my name is { name }")
        print(f"this is the author i found {author}")
        if author:
            author = author[0]
            author_id = author.id
        else:
            author_id = max(authors.keys()) + 1
            author = Author(id=author_id, name=name)
            authors[author_id] = author

        book = [b for id, b in books.items() if b.title == title]
        if book:
            book = book[0]
        else:
            book_id = max(books.keys()) + 1
            book_authors[book_id] = author_id
            print(f"I am making book {book_id}")
            print(f"{name} has books {authors_books.get(author_id)}")

            if author_id in authors_books.keys():
                authors_books[author_id].append(book_id)
            else:
                authors_books[author_id] = [book_id]
            book = Book(id=book_id, title=title)
            books[book_id] = book

        print(f"i got books: {books}")
        print(f"i got authors: {authors}")
        return book


schema = strawberry.Schema(query=Query, mutation=Mutation)

router = GraphQLRouter(
    schema,
)

app = FastAPI()

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 searching my thoughts locally

2024-03-07T23:42:00Z

![[None]]

First I need to fetch my thoughts from the api, and put it in a local sqlite database using sqlite-utils.

fthoughts () {
    # fetch thoughts
    curl 'https://thoughts.waylonwalker.com/posts/waylonwalker/?page_size=9999999999' | sqlite-utils insert ~/.config/thoughts/database2.db post --pk=id --alter --ignore -
}

Now that I have my posts in a local sqlite database I can use sqlite-utils to enable full text search and populate the full text search on the post table using the title message and tags columns as search.

sthoughts () {
    # search thoughts
    # sqlite-utils enable-fts ~/.config/thoughts/database2.db post title message tags
    # sqlite-utils populate-fts ~/.config/thoughts/database2.db post title message tags
    sqlite-utils search ~/.config/thoughts/database2.db post "$*" | ~/git/thoughts/format_thought.py | bat --style=plain --color=always --language=markdown
}

alias st=sthoughts

Now I am ready to search my thoughts, which is a tiny blog format that I created mostly for leaving my own personal comment on web pages, so most of them have a link to some other online content, and their title is based on the authors title.

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 Creating One-To-Many Relationships in Flask-SQLAlchemy - YouTube

2024-03-06T14:35:17Z

Great example from Anthony showing how easy it is to practice building database orm models and playing with them in a repl. This is good practice even if you are in a big code base to be able to test and learn in a simplified code base that does not have a mountain of other code around atuh, permissions, security, and other complex things that come into real production code bases that might make it hard to focus on what you are trying to do.

Note

Anthony uses backref here, thats legacy, use back_populates on both parent and child.

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 python - Concepts of backref and back_populate in SQLalchemy? ...

2024-03-06T01:55:42Z

External Link

stackoverflow.com

Today I came across some sqlalchemy models that created some relationships, some used backref some used back_populates. I was stumped why, I had never came accross backref before and I felt skill issues sinking in.

backref is considered legacy #

https://docs.sqlalchemy.org/en/14/orm/backref.html

As stated in the sqlalchemy docs, backref is a legacy feature. Its shorthand to creating relationships between parent and child, but only adding it to the parent. While this is simpler it introduces some invisible magic.

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 Read a Range of Data - LIMIT and OFFSET - SQLModel

2024-01-12T02:18:35Z

Read a Range of Data - LIMIT and OFFSET - SQLModel

SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness.

sqlmodel.tiangolo.com

Today I was running some sqlmodel queries through the sqlalchemy orm. Admittedly I’ve not done enough orm queries before, and I’ve done quite a bit of raw sql. I was trying to get objects from two separate models that had relationships setup.

session.query(User, Images).where(User.id == 3).all()

It is incredibly slow, and gives me the following warning.

SELECT statement has a cartesian product between FROM element(s)

What I learned from the SQLModel docs is that you should give it a join to correct this and go much faster.

session.query(User, Images).join(Images).where(User.id == 3).all()

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 Open source, not open contribution with Ben Johnson (Changelog...

2023-10-05T01:11:19Z

Open source, not open contribution with Ben Johnson (Changelog Interviews #433)

This week we're talking with Ben Johnson. Ben is known for his work on BoltDB, his work in open source, and as a freelance Go developer. Late January when Ben open sourced his newest project Litest...

Changelog · changelog.com

Ben Johnson was on the Changelog a few years back covering his work on litestream, and talks about why he chose to go open source, but not open contribution.

You should have a good reason to move off of sqlite.

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 DjangoCon Europe 2023 | Use SQLite in production - YouTube

2023-10-03T13:22:19Z

Very inspiring talk, TLDR, you probably don’t need a database server. sqlite will probably be faster, simpler to maintain, and simpler to test your application.

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 benbjohnson/litestream: Streaming replication for SQLite.

2023-10-01T02:19:18Z

GitHub - benbjohnson/litestream: Streaming replication for SQLite.

Streaming replication for SQLite. Contribute to benbjohnson/litestream development by creating an account on GitHub.

GitHub · github.com

    `litestream` is a sick cli tool for steaming replicas of sqlite.  It automatically does daily snapshots, and streams all of the writes to the replica live.

install #

Install is fast using installer, no compilation, just copy the binary and run.

curl https://i.wayl.one/benbjohnson/litestream

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts

💭 Why I Built Litestream - Litestream

2023-09-30T16:16:47Z

Why I Built Litestream - Litestream

Despite an exponential increase in computing power, our applications require more machines than ever because of architectural decisions made 25 years ago. You can eliminate much of your complexity ...

litestream.io

As applications scale to the edge, to put compute as close to the user as possible, database queries back to the master node get slower and slower. Enter sqlite replication, put the database wtih the application code and replicate from master.

Note

This post is a thought. It’s a short note that I make about someone else’s content online #thoughts