8/24/2023 0 Comments Bigquery json extractAs the final step just start tap-bigquery with all options, including start and end date-time (it will limit extracted data by datetime_key you can specify for every table in config) and redirect its output in redshift target.įor incremental extraction you have to use keys start_datetime and end_datetime (proper support for singer state message not implemented). Check it! I have to amend the type of several fields. Next, I run the tap in discovery mode ( -d option), it will produce schema of BigQuery table as output. It is quite easy: install tap and target in separate python environment, export secret key for the service account in Google (check it in readme to tap repo), amend config for tap. >tap_bigquery -c config.json -catalog catalog.json -start_datetime '' -end_datetime '' | target-redshift -config redshift_config.json >tap_bigquery -c config.json -d > catalog.json >export GOOGLE_APPLICATION_CREDENTIALS="./client_secret.json" app/env_redshift/bin/activate pip install pipelinewise-target-redshift app/env_bigquery/bin/activate pip install tap-bigquery To create pipeline between BigQuery and Redshift locally you need next commands: >python -m venv. Under the hood, it just extracts data as CSV files via BigQuery API, put it on S3 bucket, and run COPY command to import data into Redshift. I also make a package, so you are able to use it via 'pip install'. I was able to resolve all those issues and make a pull request with updates in the original repo and it was merged by the author. The description is outdated and copy-pasted from another tap.There is no ready package in Pip: you have built and install it by yourself.It does not fully support singer contract, so not all signer target adapters are compatible with it.I give it a try and it works in a very simple and reliable way (read adapter in Singer are called 'tap'). However, I have noticed that there is some very simple BigQuery extract adapter done by a single person. but it is a target adapter (in terms of singer framework it means the adapter able to write into Bigquery, not extract). Signer actually has official Bigquery adapter. We are using singer.io framework in our tech stack and I was thinking that Singer has BigQuery adapter for sure! So I will just put another adapter into my singer repo and the data start to flow. Transfer Google Ads data into Google BigQuery and next turn my task into "Transfer data from Bigquery into Redshift".Īs you can see based on a title, I started to dig into the last option as it looks like the thing I can easily implement.Self-hosted script to capture data from Google Ads directly via API.I started with Google and find several tricky ways to get data into Redshift. Another morning, another challenge! :) This time I have to integrate data collected into Google Ads into our data warehouse based on Redshift.
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