FreshRSS supports the databases SQLite (built-in),

Limitations and Considerations While SQLite is powerful and versatile, it’s important to understand its limitations:ezstandalone.cmd.push(function () { ezstandalone.showAds(119); }); Concurrency: SQLite uses file-based locking, which can limit concurrent write operations. It’s not suitable for high-concurrency scenarios. Network access: SQLite is designed for local storage and doesn’t provide network access out of the box. User management: SQLite doesn’t have built-in user management or access control features.ezstandalone.cmd.push(function () { ezstandalone.showAds(120); }); Scalability: While SQLite can handle databases up to 140 terabytes, it may not be the best choice for very large datasets or high-traffic applications. Alter table limitations: SQLite has limited support for ALTER TABLE operations compared to other database systems.

Best Practices for Using SQLite on Mac

DB Browser for SQLite: A free, open-source tool that provides a user-friendly interface for creating, designing, and editing SQLite database files. TablePlus: A native macOS application that supports multiple database systems, including SQLite.ezstandalone.cmd.push(function () { ezstandalone.showAds(116); }); SQLite Studio: Another free, open-source option with a rich feature set for managing SQLite databases.

Optimizing SQLite Performance

JSON support:

FeatureSQLiteMySQLPostgreSQLServerServerlessClient-serverClient-serverSetupNo setup requiredRequires installationRequires installationConcurrencyLimitedHighHighData TypesDynamicStaticStaticMax Database Size140 TBNo limitNo limitBest ForLocal storage, PrototypesWeb apps, Large datasetsComplex queries, Big dataPerformanceFast for small datasetsFast for large datasetsFast for large datasetsPortabilityHighly portableLess portableLess portable

SQLite integrates seamlessly with Python. Here’s a simple script to interact with our database: import sqlite3 import pandas as pd # Connect to the database conn = sqlite3.connect('analytics.db') # Create a cursor cur = conn.cursor() # Execute a query cur.execute(""" SELECT pv.page_url, pv.view_count, COUNT(uv.id) as unique_visitors FROM page_views pv LEFT JOIN user_visits uv ON pv.id = uv.page_id GROUP BY pv.id ORDER BY pv.view_count DESC """) # Fetch all rows rows = cur.fetchall() # Create a pandas DataFrame df = pd.DataFrame(rows, columns=['Page URL', 'View Count', 'Unique Visitors']) print(df) # Close the connection conn.close()

Let’s create a sample database file: sqlite3 analytics.db

It supports terabyte-sized databases and gigabyte-sized strings and blobs.

SQLite stores all of the data in a single file on the filesystem, which makes it easy to copy or backup the database.

Old web demo I made of sociologist Niklas Luhmann's zettelkasten with automatic reference and back reference indices (don't visit on mobile data, it's a data-heavy app 16MiB) .t3_16562do._2FCtq-QzlfuN-SwVMUZMM3 { --postTitle-VisitedLinkColor: #9b9b9b; --postTitleLink-VisitedLinkColor: #9b9b9b; --postBodyLink-VisitedLinkColor: #989898; }

Full text seach is a way to avoid these two issues. With SQLite, you enable full text search by creating what is called a "virtual table" using one of the FTS engines included with SQLite: FTS4 or FTS5. FTS5 support is the most recent and has more advanced searching features, including ranking and highlighting of results and is what is described here.

Most applications do not need to process massive amounts of data. This has led to a resurgence in data management systems with traditional architectures; SQLite, Postgres, MySQL are all growing strongly, while “NoSQL” and even “NewSQL” systems are stagnating.

Richard was a contractor for Bath Iron Works working on software for the DDG-79 Oscar Austin.

I work primarily on Windows, but I support my kids who primarily use Mac for their college education. I have used DT on Mac, IPOS, IOS for about a year. On Windows, I have been using Kinook’s UltraRecall (UR) for the past 15 years. It is both a knowledge outliner and document manager. Built on top of a sql lite database. You can use just life DT and way way more. Of course, there is no mobile companion for UR. The MS Windows echo system in this regard is at least 12 years behind.

The highlights you made in FreeTime are preserved in My Clippings.txt, but you can’t see them on the Kindle unless you are in FreeTime mode. Progress between FreeTime and regular mode are tracked separately, too. I now pretty much only use my Kindle in FreeTime mode so that my reading statistics are tracked. If you are a data nerd and want to crunch the data on your own, it is stored in a SQLite file on your device under system > freetime > freetime.db.

The console is a killer SQLite feature for data analysis: more powerful than Excel and more simple than pandas. One can import CSV data with a single command, the table is created automatically: > .import --csv city.csv city > select count(*) from city; 1117

The console is a killer SQLite feature for data analysis: more powerful than Excel and more simple than pandas. One can import CSV data with a single command, the table is created automatically

The Realm is a new database module that is improving the way databases are used and also supports relationships between objects. If you are part of the SQL development world, then you must be familiar with the Realm.

In this writeup, we will be discussing one such important prerequisite that is React Native database. We can call it the backbone of React Native applications.