![]() If you have further question regarding Google BigQuery I would recommend to post a question on StackOverflow: google-bigquery to reach wider audience with the related expertise. Or alternatively, just store the extended JSON format in BigQuery by changing the schema to accept the extended JSON format. An Amazon EventBridge rule triggers an AWS Step Functions state machine to start migrating the tables. ![]() A list of all tables to be migrated for each project and dataset pair. You could see the output of the non-extended JSON format example using below command in *nix : mongoexport -db dbname -c collname | python. This JSON file contains the migration metadata, namely the following: A list of Google BigQuery projects and datasets. # Convert to string if you're using ObjectId, as there is no JSON seriazable form. Upon a complete walkthrough of this article, you will gain a decent understanding of Google BigQuery along with the salient features that it offers. Alternatively, you can use Auto-Schema detection for supported data formats. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery lets you specify the Schema of a table when you load data into a table and create an empty table. In this example, we named the file bq-mig-config.json. ![]() With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. Alternatively, you can download the demo file, which uses the open dataset created by the Centers for Medicare & Medicaid Services. With BigQuery, you can query terabytes of data without a database administrator or infrastructure. For example, using MongoDB Python driver: #!/usr/bin/env python import sys Overview BigQuery is Googles fully managed, NoOps, low cost analytics database. Standard JSON extraction functions (recommended) The following functions use double quotes to escape invalid JSONPath characters: 'a.b'. Introduction BigQuery is Google's fully managed, NoOps, low-cost analytics database. Depending on your use case, you may want to alter the JSON export format file from extended to standard JSON.
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