I'm trying to capture the logs using log4net package and store it in google bigquery table. I have successfully captured the logs and stored it in file. I can a
In a Google Datalake environment, what is the Dataproc Metastore service used for? I'm watching a Google Cloud Tech video and in this video around the 17:33 mar
I'm trying to capture the logs using log4net package and store it in google bigquery table. I have successfully captured the logs and stored it in file. I can a
I have a use case to store dynamic JSON objects in a column in Big Query. The schema of the object is dynamically generated by the source and not known beforeha
There are plenty of great posts on SQL that selects unique rows and write (truncates) a table so the dus are removed. e.g WITH ev AS ( SELECT *, ROW_
I'm trying to extract the MONTH NAME from a date in BigQuery, the type is DATE (i.e., 2019-09-19). I tried something like: SELECT PARSE_DATE('%B',CAST(date_
PostGIS has this function ST_GeomFromGeoHash to get the bounding box geometry of the geohash area (https://postgis.net/docs/ST_GeomFromGeoHash.html), but it has
PostGIS has this function ST_GeomFromGeoHash to get the bounding box geometry of the geohash area (https://postgis.net/docs/ST_GeomFromGeoHash.html), but it has
I'm using Python to hit the BigQuery API. I've been successful at running queries and writing new tables, but would like to ensure those output tables are par
I am uploading a dataframe to a bigquery table. df.to_gbq('Deduplic.DailyReport', project_id=BQ_PROJECT_ID, credentials=credentials, if_exists='append') And I
I want to create a view dynamically with a string generated by a temporary function. The code below fails with Creating views with temporary user-defined functi
I am following a tutorial on Qwiklabs on Bigquery and financial fraud detection and came across a query, below, that I am failing to understand CREATE OR REPLAC
I have a database of daily tables (with prefixes formatted as yyyymmdd) with customers info, and I need to get a 90 day timeline of 90 day ARPUs (average revenu
I'm asking for the best practice/industrial standard on these types of jobs, this is what I've been doing: The end goal is to have a replication of the data in
Let's say I have the following range in Excel named MyRange: This isn't a table by any means, it's more a collection of Variant values entered into cells. Exce
Our BigQuery schema is heavily nested/repeated and constantly changes. For example, a new page, form, or user-info field to the website would correspond to new
I am using com.google.cloud.bigquery library for fetching the job level details. We have the following code snippets Job job = getBigQuery(projectId, location)
I am using google.cloud.bigquery library to execute and create query using bigquery.query() method. I want to fetch the Schema details from the response but whe
i want to extract a value from a json column. The schema is (- first level, -- second level): Column Name | Type | Mode event_params RECORD NULLABLE -key STRI
We are trying out the REMOTE functions within bigquery as per this guide. We created the CLOUD_RESOURCE using the following command : bq mk --connection --disp