Comments (8)
I assume you also want to be able to create a new scheduled query, not just update an existing?
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Yes, that would be very helpful. In our process, we often set them up manually in BigQuery and then update them automatically in R/Python scripts thereafter. But, if it were easy to create and update them from bigrquery, this would be much cleaner.
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Note to self: look at discovery doc wrappers in googlesheets4.
from bigrquery.
Do you have any sense of how you get a data source setup so I could test it myself?
from bigrquery.
@hadley Yes, I think I can help with that...
I'm not sure what detail you need. Happy to chat if you need more info..
- Go to this link and click console to create a project.
- Navigate to BigQuery and click create dataset.
- Once you have a dataset, you can enter this query to load some data into your project from a public dataset:
CREATE OR REPLACE TABLE `your_project_name.your_dataset_name.baby_names` AS
SELECT *
FROM `bigquery-public-data.usa_names.usa_1910_2013`
LIMIT 1000;
This example has the following schema:
fullname type
state STRING
gender STRING
year INTEGER
name STRING
number INTEGER
Here is some info about the dataset itself: https://console.cloud.google.com/marketplace/product/social-security-administration/us-names?project=long-base-314819
Hope this helps! Let me know if you need anything else.
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How does that connect with a schedule query?
from bigrquery.
I need a bit more help to get this to a place where I can test it, so I'm going to put off until the next release of bigrquery which I'll aim to do early next year.
from bigrquery.
I need a bit more help to get this to a place where I can test it, so I'm going to put off until the next release of bigrquery which I'll aim to do early next year.
Ok! Sorry I missed your previous question. Thanks for the update. I'm happy to help with your testing when you are ready to resume.
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Related Issues (20)
- Receiving curl error when using tbl(con, sql("string query")) HOT 4
- Lack of support for Private and Restricted Google APIs HOT 4
- LEAD function causing error. HOT 3
- Unknown type JSON HOT 6
- Upkeep for bigrquery (2021)
- Use cli errors
- Use standard argument checkers
- Speed up tests HOT 1
- Update for dbplyr 2.4.0 quoting semantics
- Remove unprefixed deprecated functions
- Switch `expect_error()` to `expect_snapshot()`
- Use sessions HOT 2
- Switch to defer
- Add gzip to user agent? HOT 1
- Seconds decimal dropped in new parsing HOT 4
- tbl() breaking when used with dbConnect - again? HOT 2
- Release bigrquery 1.5.0
- compute() function in dplyr is broken HOT 2
- Release bigrquery 1.5.1
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