Comments (2)
randypitcherii
commented on July 19, 2024
1
Great news!
I spoke with Fokko today (he rules) and he showed me that polars will let me get an arrow table. With that, pyiceberg allegedly will write to any arbitrary iceberg target : )
So maybe I don't need built in write support in polars if its that easy. I'm going to give it a go and see.
I also took a peek at the write_delta function for inspiration but it was wayyyy over my head.
from polars.
alexander-beedie
commented on July 19, 2024
Good timing on this issue, as I see pyiceberg write support just made its public debut1; congrats @Fokko! Not sure how it might best integrate via Polars, but could certainly be interesting ;)
Footnotes
from polars.
Related Issues (20)
- exception thrown if converting arrow Table with struct and dictionary columns to polar dataframe
- converting pandas to Polars drops column if its name, when converted to string, matches another column's name
- pl.format should be clear it will return null when one of the arguments is null
- Off-by-one error when casting to Decimal with set precision
- Importing pyarrow after polars causes `SIGSEGV` HOT 4
- Polars assumes microseconds instead of reading numpy timedelta units
- Cannot create Array column containing large u64 value
- Multipling a Decimal by Int returns Int type HOT 2
- Split out `Expr.top_k` from `Expr.top_k_by`
- `pl.Datetime` `time_zone` parameter has no type or value check HOT 5
- Cast from `pl.Date` to `pl.Datetime` silently returns incorrect value when new dtype cannot hold value HOT 2
- exception thrown if converting chunked arrow Table with struct and dictionary columns to polar Dataframe
- Panic when constructing Series with dtype `Duration('ms')` with large `timedelta` objects
- Can the separator of the read csv function support regular splitting? HOT 5
- Casting float to Decimal fails silently HOT 2
- Use parquet statistics when collecting column statistics from scanned parquet HOT 2
- Excessive Memory Consumption During Rolling Operations on Large DataFrames
- write_database() - Insert many rows with sql server using fast_executemany HOT 3
- fill_null doesn't support expr HOT 6
- `dt.total_nanoseconds` and `dt.total_microseconds` may overflow silently
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from polars.