![]() ![]() SET record = JSON_SET(record, '$.name', 'John Doe') įor more information on how to use BigQuery to query and manipulate JSON strings, please refer to the BigQuery JSON Functions documentation. Each JSON object must be on a separate line in the file. For example, the following query will update the name field of all records in the table to John Doe: UPDATE `mydataset.mytable` When you load JSON files into BigQuery, note the following: JSON data must be newline delimited. Then, send it to Cloud AI Platform Predictions using: gcloud ai-platform predict -model londonbicycles -version bqml -json-instances input.json You. This can be done using the JSON_EXTRACT_SCALAR and JSON_SET functions. In addition to querying JSON strings, BigQuery can also be used to manipulate JSON strings. Now I want to access the stringified json by parsing the json using bigquery and for each ObjectID I want to create a nested field where I have the keyword, the corresponding array and the length of the corresponding array. The output of this query will be a list of the name fields from each record. Select your Dataset and click on Create table. For example, the following query will return the name field from each record in the table: SELECT JSON_EXTRACT(record, '$.name') FROM `mydataset.mytable` ![]() To query specific fields from the JSON string, the JSON_EXTRACT function can be used. The output of this query will be a list of records, each of which is a JSON string. For example, the following query will return all records in the table: SELECT * FROM `mydataset.mytable` Once the JSON string is uploaded to a BigQuery table, it can be queried using the standard SQL syntax. This can be done with the bq command line tool, or through the BigQuery web UI. To use BigQuery to query a JSON string, one must first upload the JSON string to a BigQuery table. using Cloud Dataflow or another tool) so that you can load it from newline-delimited JSON into BigQuery. Google BigQuery is a powerful query engine that can be used to query JSON strings. ![]()
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