When you are working with Google Cloud, it comes in handy to use the Terminal from time to time. On this page, you will find various commands and code snippets, which have been very useful in the past for me.
See the current project
The following command will show the current account and project.
gcloud config list
List all available projects under the current account
gcloud projects list
Change the current project
Set the <project_id> to active for all following commands.
gcloud config set project <project_id>
Configure server-side Google Tag Manager in App Engine (SGTM)
If you have SGTM running in Google Cloud App Engine, you can use this command to reconfigure it. It will guide you through the update. The same command actually works also for the initial installation.
bash -c "$(curl -fsSL https://googletagmanager.com/static/serverjs/setup.sh)"
Export BigQuery Table to Cloud Storage
Export a complete table from BigQuery to Cloud Storage. For an export size above 1GB, a wildcard filename must be used. The format here is JSONP and GZIP. This can be changed according to the documentation.
bq extract --location=eu \ --destination_format NEWLINE_DELIMITED_JSON \ --compression GZIP \ <project>:<dataset>.<table> \ "gs://<bucket>/<filename>_*.gzip"
Read the full documentation here: https://cloud.google.com/bigquery/docs/exporting-data#bq
Export from SQL as AVRO
Also a query can directly be exported to Cloud Storage. Here the result will be exportet as AVRO immediately after executing the SQL query.
EXPORT DATA OPTIONS( uri='gs://<bucket>/<filename>_*.gzip', format='AVRO') AS SELECT * FROM `<project>.<dataset>.<table>`
Read the full documentation here: https://cloud.google.com/bigquery/docs/exporting-data#sql
Download or upload files from Cloud Storage to local
Download or upload a folder or single file from or to Google Cloud Storage. The format is
gsutil cp <source> <destination>. The parameter
-r will transmit the whole folder.
gsutil cp -r gs://some_bucket/folder /Users/currentUser/Downloads
You can also move data between Amazon AWS S3 and Google Cloud Storage. For that you need to provide access keys to AWS S3 in your
.boto file. You can then use S3 path as source or destination, like this:
gsutil -m cp -r gs://sourceBucket/folder s3://destinationBucket/folder
The files will be temporarily loaded to your local machine. Keep this in mind when moving large amount of data.
Read the full documentation here: https://cloud.google.com/storage/docs/gsutil/commands/cp
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This is an incredibly helpful and comprehensive cheat sheet! It was very useful in understanding how to use Google Cloud Shell. Thank you for taking the time to compile this information.