google-bigquery

问题 Consider this simplified example: SELECT ST_MAKELINE([ ST_GEOGPOINT(5, 51), ST_GEOGPOINT(5, 52), ST_GEOGPOINT(5, 51) ]) I would expect this to construct a line with three points, that doubles back on itself. Instead, what I'm getting is: LINESTRING(5 51, 5 52) It seems that BigQuery is discarding duplicate points, even if they are not consecutive. This is messing up my distance calculation, which involves taking the ST_LENGTH of the resulting linestring. As a workaround, I'm constructing a

问题 Consider this simplified example: SELECT ST_MAKELINE([ ST_GEOGPOINT(5, 51), ST_GEOGPOINT(5, 52), ST_GEOGPOINT(5, 51) ]) I would expect this to construct a line with three points, that doubles back on itself. Instead, what I'm getting is: LINESTRING(5 51, 5 52) It seems that BigQuery is discarding duplicate points, even if they are not consecutive. This is messing up my distance calculation, which involves taking the ST_LENGTH of the resulting linestring. As a workaround, I'm constructing a

问题 Consider this simplified example: SELECT ST_MAKELINE([ ST_GEOGPOINT(5, 51), ST_GEOGPOINT(5, 52), ST_GEOGPOINT(5, 51) ]) I would expect this to construct a line with three points, that doubles back on itself. Instead, what I'm getting is: LINESTRING(5 51, 5 52) It seems that BigQuery is discarding duplicate points, even if they are not consecutive. This is messing up my distance calculation, which involves taking the ST_LENGTH of the resulting linestring. As a workaround, I'm constructing a

问题 Consider this simplified example: SELECT ST_MAKELINE([ ST_GEOGPOINT(5, 51), ST_GEOGPOINT(5, 52), ST_GEOGPOINT(5, 51) ]) I would expect this to construct a line with three points, that doubles back on itself. Instead, what I'm getting is: LINESTRING(5 51, 5 52) It seems that BigQuery is discarding duplicate points, even if they are not consecutive. This is messing up my distance calculation, which involves taking the ST_LENGTH of the resulting linestring. As a workaround, I'm constructing a

问题 def downloadGbqToCsv(self,table_name,csv): credentials = GoogleCredentials.get_application_default() bigquery = discovery.build('bigquery', 'v2', credentials=credentials) job_data = { 'sourceTable': { 'projectId': self.project_id, 'datasetId': self.dataset_id, 'tableId': table_name, }, 'destinationUris': 'path/to/download', 'destinationFormat': 'CSV', 'compression': 'NONE' } start = time.time() job_id = 'job_%d' % start # Create the job. result = bigquery.jobs().insert(projectId=self.project

问题 I need usage data on the dataset and views in BigQuery. I want a count of how many queries were ran against all the different datasets and views. My goal is to understand what datasets and views are currently being used. I looked in the Audit Log, however I'm not able to export all the records into excel for analysis. I am only able to export max 300 logs for a specific day. Is there a way to run a query in BigQuery that will give me this data instead of exporting from the Audit Log? 回答1: Yes

问题 I need usage data on the dataset and views in BigQuery. I want a count of how many queries were ran against all the different datasets and views. My goal is to understand what datasets and views are currently being used. I looked in the Audit Log, however I'm not able to export all the records into excel for analysis. I am only able to export max 300 logs for a specific day. Is there a way to run a query in BigQuery that will give me this data instead of exporting from the Audit Log? 回答1: Yes

问题 Now that BigQuery supports async on #standardSQL, how can I convert this #legacySQL function to run on #standardSQL? #legacySQL SELECT SUM(s) FROM js(( SELECT FLOOR(RAND()*100000) group, NEST(requests) as x FROM ( SELECT requests, content_size FROM [fh-bigquery:wikipedia.pagecounts_201205] ) GROUP BY group) , group, x , "[{name:'s', type: 'float'}]", "function (row, emit) { const memory = new WebAssembly.Memory({ initial: 256, maximum: 256 }); const env = { 'abortStackOverflow': _ => { throw

问题 I have a table that shows IP addresses assigned to equipment belonging to a customer. This table is used to measure user's activity and performance and generated on a regular basis. I would like to map the IP addresses of these customers to customer ID or name. Due to size and multiple IP addresses that can be assigned to the same customer we have to use subnet instead of individual IP addresses. The report table contains an IPaddress field and the subnet mapping table is something like below

问题 I have a table that shows IP addresses assigned to equipment belonging to a customer. This table is used to measure user's activity and performance and generated on a regular basis. I would like to map the IP addresses of these customers to customer ID or name. Due to size and multiple IP addresses that can be assigned to the same customer we have to use subnet instead of individual IP addresses. The report table contains an IPaddress field and the subnet mapping table is something like below