I have CSV data of size 10 MB, So is it possible to upload 10 MB of data in bigquery at a time or it has some limitation.
Thanks & Regards,
Gopi Thakur
In BigQuery you can load from file up to 5TB per file size (stored on GCS).
Scroll down until the examples are shown:
https://cloud.google.com/bigquery/docs/loading-data-cloud-storage-csv
Direct upload is Actually limited to a maximum of 10MB file size, as explained in this video at 3:24 from official google cloud channel.
But you can upload the file to cloud storage and then load your data to BigQuery from there, without any size limit.
Related
Using the Google Drive REST API after uploaded to drive has a different file size when calculating into MB but the bytes size is the same, I believe that is the rounding error or Is there any another reason why?
Example: My local machine(Windows OS) file size has 9.92 MB(1,04,06,738 bytes), after uploading to google drive its say 10 MB(1,04,06,738 bytes), Bytes size is the same
We are using OAuth 2.0 based client and Drive V3 REST APIs. During resumable upload, client makes multiple upload calls (per chunk) for a file being uploaded. I would like to know if each of these calls (per chunk) are accounted against Google Drive API Quotas?
For example:
API: drive.file.create
Upload Type: resumable.
File Size: 1 GB
Chunk size: 10MB
In above scenario, how many API Quotas will be consumed for this operation for a given project?
Will this be considered 1 request against our quota or will it be ~100?
If you are still looking for the solution, how about this answer? I think that in your situation, even if a file with the size of 1 GB was uploaded as a chunk of 10 MB using the resumable upload, Drive API is used only one time.
In my environment, when I uploaded a file with the size of 1 GB using a chunk of 10 MB as a sample, I confirmed that only one time Drive API was used at the API dashboard.
If this was difference from your environment, I'm sorry.
Can I query using the wildcard feature in BigQuery from external tables stored as CSVs on Google Cloud Storage?
The CSV files are in a Google Cloud Storage bucket and the files have different partitions / chunks of the data, like this
org_score_p1
org_score_p2
...
org_score_p99
Also, I expect that the number of files in bucket will continue to grow, so new files will be added with the same naming scheme.
Yes. However, you need make sure that
your Google Cloud Storage bucket is configured as multi-regional
your bucket's multi-regional location is set to the same place as the one where you are running your BigQuery jobs.
Otherwise you will get an error / exception similar to this one:
Cannot read and write in different locations: source: US-EAST4, destination: US
I have a little problem, I'm work on a map with politic division, but when I try to load the KML file in Google Earth work fine, then I publish this KML and I try to use them in Google Maps, but not work, I read that Google Map have some restrictions, like size of files, and limit of Points, but then How I can display correctly my Map, I also have the data in a DataBase.
In this moment, I'm using FusionTables and work very well, but in my job don't want use FusionTables.
I have some option? (Server Side Processing, Load some KML instead of one or something)
thanks in advance.
Excuse me for my English.
You can:
try a KMZ file (raw KML in a KMZ can be bigger, up to 10MB)
use a third party KML parser (no limits on size, but may have performance problems)
break your KML into multiple files that meet the restrictions.
KML reference on limits, looks to me like a KMZ (compressed KML) file will work for the data you have described.
Maximum fetched file size (raw KML, raw GeoRSS, or compressed KMZ) 3MB
Maximum uncompressed KML file size 10MB
I have about 100k locations stored in a MySQL server.
I want to plot this in a map, but when I export it to a .csv file and then convert to .kml file, the file size exceeds 20mb, whereas Google Map API has limits of 3mb for .kml file.
The .csv file is about 2.5mb, but I cannot load .csv files into Google Map.
Is there any way I can do load the locations to a map?
Use Google Fusion Tables - they support 100,000 points per layer and 5 layers in toto. They are lightning fast too as you access them via an SQL-type language that runs on Google's servers - exactly where your data will be when you upload it.
You load your CSV into a Fusion Table in your Google drive and get a key to that table and you then use the key in your Javascript.
I created the following website with Fusion Tables and I am a zero in Javascript! See Skyscan website here.