meltano
pgloader
meltano | pgloader | |
---|---|---|
9 | 31 | |
1,601 | 5,078 | |
2.5% | - | |
9.8 | 3.0 | |
1 day ago | about 1 month ago | |
Python | Common Lisp | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
meltano
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meltano VS cloudquery - a user suggested alternative
2 projects | 2 Jun 2023
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Show HN: Meltano Cloud (Gitlab spinout) – Managed infra for open source ELT
- https://github.com/meltano/meltano
We'd love to hear what you think of Meltano (Cloud). If you join the Beta, you get 100 free credits (200 hourly or 100 daily runs) and a 20% discount on the pricing at GA (June 27). The first 100 to sign up get 1,000 credits -- that's 83 days of hourly runs or 3 years of dailies!
The team and I will be checking in here throughout the day, so don't hesitate to ask questions! If we don't get to you, feel free to join 3,500+ Meltano fans on https://meltano.com/slack and we'll chat there!
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Show HN: Sync’ing data to your customer’s Google Sheets
Meltano[0] might be of interest to you. Easy way to move data that should be very familiar for software engineers. If a connector doesn't exist our SDK makes it easy to build it.
[0] https://github.com/meltano/meltano
(disclaimer - I work at Meltano)
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Meltano can now run any Airbyte source connector thanks to a community contribution
We currently don't do any process optimization on a per-stream basis when doing an extract. We have seen folks in the community running each tap separately for each stream which can speed it up. We've got an issue around this (Melturbo).
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What is data integration?
Meltano
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PostgreSQL to DuckDB - There and Quack Again
I built my data pipeline to Extract some data from websites and CSV files, Load it into my database, and Transform it into a reporting-ready schema. I used Python and Pandas to extract and load some of the data and Meltano to load some additional supporting data. All of that data went into a PostgreSQL database hosted in the cloud on Azure where I then used dbt to create data models in the database optimized for reporting. Finally, I use Metabase to visualize the data. (whew! that's a lot of moving parts!)
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What should be the main point of a personal project?
I'm learning https://meltano.com/ right now, so am building custom Taps, mostly for fun. I'm enjoying it. I'm pulling in a variety of data from https://www.geonames.org/ and Canadian weather/climate data into BigQuery
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What ETL tool you use with Postgres ?
https://meltano.com/ is ELT but I like it
- Airbyte vs Meltano community support
pgloader
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Why Is Common Lisp Not the Most Popular Programming Language?
No, it's difficult to read, and understand. It's a parenthesis circus, example -
https://github.com/dimitri/pgloader/blob/master/src/sources/...
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We need to talk about parentheses
Examples (for Common Lisp, so not citing Emacs): reddit v1, Google's ITA Software that powers airfare search engines (Kayak, Orbitz…), Postgres' pgloader (http://pgloader.io/), which was re-written from Python to Common Lisp, Opus Modus for music composition, the Maxima CAS, PTC 3D designer CAD software (used by big brands worldwide), Grammarly, Mirai, the 3D editor that designed Gollum's face, the ScoreCloud app that lets you whistle or play an instrument and get the music score,
but also the ACL2 theorem prover, used in the industry since the 90s, NASA's PVS provers and SPIKE scheduler used for Hubble and JWT, many companies in Quantum Computing, companies like SISCOG, who plans the transportation systems of european metropolis' underground since the 80s, Ravenpack who's into big-data analysis for financial services (they might be hiring), Keepit (https://www.keepit.com/), Pocket Change (Japan, https://www.pocket-change.jp/en/), the new Feetr in trading (https://feetr.io/, you can search HN), Airbus, Alstom, Planisware (https://planisware.com),
or also the open-source screenshotbot (https://screenshotbot.io), the Kandria game (https://kandria.com/),
and the companies in https://github.com/azzamsa/awesome-lisp-companies and on LispWorks and Allegro's Success Stories.
https://github.com/tamurashingo/reddit1.0/
http://opusmodus.com/
https://www.ptc.com/en/products/cad/3d-design
http://www.izware.com/mirai
https://apps.apple.com/us/app/scorecloud-express/id566535238
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We migrated our PostgreSQL database with 11 seconds downtime
I worked on migrating our MySQL system to PostgreSQL using pgloader ( https://pgloader.io/ ).
There were some hiccups, things that needed clarification in documentation, and some additional processes that needed to be done outside of the system to get everything we need in place, it was a amazing help. Not sure the project would've been possible without it.
Data mapping from PostgreSQL to PostgreSQL as in the article isn't nearly as bad as going between systems. We took a full extended outage and didn't preload any data. There were many dry runs before hand and validation before hand, but the system wasn't so mission critical that we couldn't afford to shutoff the system for a couple of hours.
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Time For Me To Fly… To Render
Initially, I started down the pgloader path, which seemed to be a common approach for the database conversion. However, using my M1-chip MacBook Pro led to some unexpected issues. Instead, I opted to use NMIG to convert MySQL to PostgreSQL. For more information, please check out the “Highlights From the Database Conversion” section below.
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PostgresSQL DB restore sature whole SAN IO
I just checked pgloader (which is mostly for heterogeneous database migrations) and it doesn't seem to have any explicit throttling features, either. However, you can set concurrency, number of workers, and batch size.
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What language should i learn?
But do what makes you happy. The best PostgreSQL data loader in the world is written in Common Lisp. Now, CL is a fast and ANSI standardized language with multiple implementations, and was used to create Reddit, but it's hard to call it fashionable.
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Why Lisp?
- [ScoreCloud](https://scorecloud.com/) - A web and mobile application to automatically create music notation from music performance or recordings. Built with LispWorks.
## DB tools
- [Pgloader](https://github.com/dimitri/pgloader/) - Migrate to PostgreSQL in a single command!. [PostgreSQL License]
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What ETL tool you use with Postgres ?
I would warmly recommend https://pgloader.io but, unfortunately, the Oracle support is still in need of a sponsor :-)
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Installing pgLoader on RHEL9 - No matching package to install: 'sbcl' - is there a workaround?
I followed instruction here: https://github.com/dimitri/pgloader/blob/master/INSTALL.md, but can't get pass sbcl requirement.
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Introducing pgsqlite, a pure python module for import sqlite into postgres
https://pgloader.io/ There's been a great tool available for this for many years.
What are some alternatives?
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
lisp-xl - Common Lisp Microsoft XLSX (Microsoft Excel) loader for arbitrarily-sized / big-size files
nifi - Apache NiFi
docker-postgres-upgrade - a PoC for using "pg_upgrade" inside Docker -- learn from it, adapt it for your needs; don't expect it to work as-is!
pipelinewise - Data Pipeline Framework using the singer.io spec
HomeBrew - 🍺 The missing package manager for macOS (or Linux)
pipelinewise-tap-mssql - Pipelinewise tap for Microsoft SQL Server
cl-wget - The Non-Interactive Network Downloader: cl-wget is a free software for retrieving files using HTTPS; cl-wget makes mirroring websites easy.
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
kandria - A post-apocalyptic actionRPG. Now on Steam!
spark-rapids - Spark RAPIDS plugin - accelerate Apache Spark with GPUs
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.