![]() This includes the BigQuery and Cloud Storage libraries, which you will use to interact with these services. Next, you need to install the necessary libraries. ![]() You also need to create a service account and download the private key file, which you will use to authenticate with both BigQuery and Cloud Storage. One of PostgreSQLs benefits is that its a relational database, but you can also get the advantages of unstructured data by storing things in a JSON column. This involves creating a new Google Cloud Platform project and enabling the necessary APIs. To connect to Google BigQuery using Progress DataDirect BigQuery JDBC Connector, you can use the below. To extract tables from BigQuery to Cloud Storage using Apps Script, follow these steps:įirst, you need to set up your project. How to Extract Tables from BigQuery to Cloud Storage using Apps Script It is designed for large-scale data processing and can store any type of data, including unstructured data such as images and videos. JSONQUERY: Extracts a JSON value, such as an array or object, or a scalar JSON-formatted value, such as a string, number, or boolean value. Google Cloud Storage is a cloud-based object storage service that allows you to store and retrieve data from anywhere on the internet. It seems to make the case that BigQuery’s native support is somehow bound up with its implementation of a JSON data type. The PARSEJSON function takes a string as input and returns a JSON-compatible VARIANT. Google Cloud says that BigQuery natively supports JSON data. ![]() BigQuery is fully managed, meaning that Google takes care of the infrastructure, so you can focus on your data. TOJSON and PARSEJSON are (almost) converse or reciprocal functions. It allows you to store and analyze massive datasets quickly and easily, using a SQL-like syntax. Google BigQuery is a cloud-based data warehouse designed for large-scale data processing. For example, if you have a table in your BigQuery. Fortunately, Google Apps Script provides an easy way to automate this process, allowing you to extract tables from BigQuery and store them in Cloud Storage with just a few lines of code. Use BigQuerys native JSON functions in Standard SQL to retrieve data stored in JSON-formatted strings. FLOAT64: Extracts a JSON number and converts it to a SQL FLOAT64 value. ![]() This can be a time-consuming task, especially if you are working with large datasets. Extracts a JSON boolean and converts it to a SQL BOOL value. | Miscellaneous How to Extract Tables from Google BigQuery to Google Cloud Storage using Apps ScriptĪs a data scientist or software engineer, you may find yourself needing to extract data from Google BigQuery and store it in Google Cloud Storage. ![]()
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