I am new to Airflow, and I am wondering, how do I load a file from a GCS Bucket to BigQuery? So far, I have managed to do BigQuery to GCS Bucket: Can someone help me to modify my current code, so I can load a file from a GCS Bucket and load it to BigQuery? Answer For your requirement,
Tag: google-bigquery
Python Google BigQuery, how to authenticate without JSON file?
I have a JSON file with BigQuery credentials. To connect with Python to BigQuery I need to give the file path in service_account. The JSON looks like a dictionary: I don’t want to use a file in the project. Is there a way instead of a path to file to use JSON string from the dictionary to connect to BigQuery?
GBQ – Get around the Exceeded rate limits issue
i have questions about Exceeded rate limits issue in Google Big Query. I need to compare two tables (about 30k rows) and find unique people in first table and find unique people in the other one. I need to insert these “new” people into another tables and get an Exceeded rate limits issue. I use Python to make queries to
How can I add data to BigQuery without problems with rate limits? [closed]
Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 8 months ago. Improve this question I currently have a system in which I want to send data from that system via a Google Cloud Function
How do I update column description in BigQuery table using python script?
I can use SchemaField(f”{field_name}”, f”{field_type}”, mode=”NULLABLE”, description=…) while making a new table. But I want to update the description of the column of the already uploaded table. Answer Unfortunately, we don’t have such a mechanism available yet to update a column description of the table through the client library. As a workaround, you can try the following available options to
How do I list my scheduled queries via the Python google client API?
I have set up my service account and I can run queries on bigQuery using client.query(). I could just write all my scheduled queries into this new client.query() format but I already have many scheduled queries so I was wondering if there is a way I can get/list the scheduled queries and then use that information to run those queries
getting, TypeError: json cannot serialize object of type ‘byte. When loading table to big query via server
When I run the following code on the server (I think, when reading the json file with google application credentials), I get the following error: Json as( source here ): My Code: When I run it with spyder IDE on my local computer with windows installed, there is no problem. Answer I solved the problem. The python version installed on
Big Query how to change mode of columns?
I have a Dataflow pipeline that fetches data from Pub/Sub and prepares them for insertion into Big Query and them writes them into the Database. It works fine, it can generate the schema automatically and it is able to recognise what datatype to use and everything. However the data we are using with it can vary vastly in format. Ex:
Dataflow Bigquery-Bigquery pipeline executes on smaller data, but not the large production dataset
A little bit of a newbie to Dataflow here, but have succesfully created a pipleine that works well. The pipleine reads in a query from BigQuery, applies a ParDo (NLP fucntion) and then writes the data to a new BigQuery table. The dataset I am trying to process is roughly 500GB with 46M records. When I try this with a
Load JSON file to BigQuery with empty dict as a value
I am uploading a newline-delimited JSON file from GCS to BigQuery. There are some fields in the JSON file which contain dicts for values, and I have no problem getting those values into BigQuery, as the nested fields are broken down into separate columns. So it all works if the following example is a line from the JSON file: {“dict_field”: