google-bigquery

问题 Is there any way to create a temporary table in Google BigQuery through: SELECT * INTO <temp table> FROM <table name> same as we can create in SQL? For complex queries, I need to create temporary tables to store my data. 回答1: 2018 update - definitive answer with DDL With BigQuery's DDL support you can create a table from the results a query - and specify its expiration at creation time. For example, for 3 days: #standardSQL CREATE TABLE `fh-bigquery.public_dump.vtemp` OPTIONS( expiration

问题 Is there any way to create a temporary table in Google BigQuery through: SELECT * INTO <temp table> FROM <table name> same as we can create in SQL? For complex queries, I need to create temporary tables to store my data. 回答1: 2018 update - definitive answer with DDL With BigQuery's DDL support you can create a table from the results a query - and specify its expiration at creation time. For example, for 3 days: #standardSQL CREATE TABLE `fh-bigquery.public_dump.vtemp` OPTIONS( expiration

问题 Is there any way to create a temporary table in Google BigQuery through: SELECT * INTO <temp table> FROM <table name> same as we can create in SQL? For complex queries, I need to create temporary tables to store my data. 回答1: 2018 update - definitive answer with DDL With BigQuery's DDL support you can create a table from the results a query - and specify its expiration at creation time. For example, for 3 days: #standardSQL CREATE TABLE `fh-bigquery.public_dump.vtemp` OPTIONS( expiration

问题 This question already has answers here : How to Pivot table in BigQuery (6 answers) Closed last month . I am working with BigQuery. I have two tables: organisations: org_code STRING name STRING spending: org STRING month DATE quantity INTEGER code STRING And then quite a complicated query to get results by each organisation, by month: SELECT organisations.org_code AS org, num.month AS month, (num.quantity / denom.quantity) AS ratio_quantity FROM ( SELECT org_code, name FROM [mytable

问题 This question already has answers here : How to Pivot table in BigQuery (6 answers) Closed last month . I am working with BigQuery. I have two tables: organisations: org_code STRING name STRING spending: org STRING month DATE quantity INTEGER code STRING And then quite a complicated query to get results by each organisation, by month: SELECT organisations.org_code AS org, num.month AS month, (num.quantity / denom.quantity) AS ratio_quantity FROM ( SELECT org_code, name FROM [mytable

问题 We are trying to get the following command to work from this python example for loading a CSV file into BigQuery from Google Cloud Storage: from google.cloud import bigquery But after doing pip install google.cloud we receive the following error when we try to run that command: ImportError: cannot import name bigquery If we installed google.cloud - shouldn't bigquery be included? What are missing? We are running Python 2.7. 回答1: It looks like installing google-cloud may once have behaved as

问题 Where to find Avg. Session Duration Metrics in Firebase analytics? How to extract Avg. Session Duration Metrics data from Bigquery? Avg. Session Duration Metrics which was previous available in Firebase analytics dashboard. But now, it is not available in Firebase analytics dashboard. Now, we are only seeing "Engagement Per User". Is the Engagement Per User and Avg. Session Duration Both are same? How to extract Avg. Session Duration from Fiebase analytics? How to query in Bigquery to extract

问题 Where to find Avg. Session Duration Metrics in Firebase analytics? How to extract Avg. Session Duration Metrics data from Bigquery? Avg. Session Duration Metrics which was previous available in Firebase analytics dashboard. But now, it is not available in Firebase analytics dashboard. Now, we are only seeing "Engagement Per User". Is the Engagement Per User and Avg. Session Duration Both are same? How to extract Avg. Session Duration from Fiebase analytics? How to query in Bigquery to extract

问题 I'm trying to load the CSV file with schema under auto detection but I am unable to load the file into Big query. Can any one help me on this. Please find my code below: def load_data_from_file(dataset_name, table_name, source_file_name): bigquery_client = bigquery.Client() dataset = bigquery_client.dataset(dataset_name) table = dataset.table(table_name) table.reload() with open(source_file_name, 'rb') as source_file: job = table.upload_from_file( source_file, source_format='text/csv') wait

问题 I am having a big query table in this format I have the record values for the table in this format : The same Instance Id and project Id may be repeated any no of times with different time series. I am trying for a select statment which will return one value(no cartestian product) for each row output like InstanceId ProjectId Time 2763333 manage-x 10:30 2763333 manage-x 11:30 2763334 manage-y 10:30 since this is a record type, I tried this the table name is metric select res.value from metric