Metadata-Version: 2.1
Name: bigQueryExporterEnhanced
Version: 1.0.8
Summary: Package codes to execute queries on BQ and save to local machine, to BQ table or to GCS.
Home-page: https://github.com/tsangkinhoi/bigQueryExporter-enhanced
Author: Icarus So (enhanced by Jason Tsang)
Author-email: tsangkinhoi@gmail.com
License: UNKNOWN
Description: # Credit
        This repository is forked from
        https://github.com/IcarusSO/bigQueryExporter
        
        # Change Log (Compare with original version)
        ### query_to_local()
        - Create a temp table with a random hash on BQ as output table, so that simultaneous execution of the function will not overwrite each other.
        - Remove the temp table after the execution. (May also set keep_temp_table=True if you wish to keep them).
        
        # bigQueryExporter
        Export query data from google bigquery to local machine
        
        #### Installation
            pip install bigQueryExporterEnhanced
            
        #### Prepare for the connection
            from bigQueryExport import BigQueryExporter
            bigQueryExporter = BigQueryExporter(project_name, dataset_name, bucket_name)   
        
        #### Query To Table
            bigQueryExporter.query_to_table(query, job_name, dataset_name)
            
        #### Table To GS
            bigQueryExporter.table_to_gs(destination_table, job_name)
            
        #### GS To Local
            bigQueryExporter.gs_to_local(bucket, job_name, data_dir_path)
            
        #### Query To GS (Query to Table + Table to GS)
            bigQueryExporter.query_to_gs(query, job_name)
        
        #### Query To Local (Query to Table + Table to GS + GS to Local)
            export_path = bigQueryExporter.query_to_local(query)
            
            # or with the options
            export_path = bigQueryExporter.query_to_local(query, 
                                                          job_name='simple_query', 
                                                          data_dir_path='out/',
                                                          keep_temp_table=False,
                                                          overwrite_output_folder=True)
            
        #### Requirement
        - Your server/ local machine should have the right to access the project
        - Right should be granted following the insturction on [Google SDK](https://cloud.google.com/sdk/docs/)
        - Execute the following command
        
            gcloud auth application-default login
        
Keywords: bigquery,local,export
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
