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Tag: python

How to parsing Json in AWS Athena?

I want to parse the JSON column in Athena but I have a problem in one column. The column includes an escape character. I don’t know if this problem. I want to reach to Message. You can see below sample data and Message under Return. Thanks This is the JSON. Answer If you take only the object which contains return

Select some datetime from base

I have a 2 table in my base. The first table is reservation table. The start_ts and end_ts are time when start and end the reservation of desk (desk_id): [Reservation_table] The second is motion, which come from sensors motion. [Motion_table] This 2 tables are connecting that the sensors are start save to the base when someone come to desk (desk_id).

how to iterate through geojson elements

i want to execute the code in this question https://gis.stackexchange.com/questions/142391/storing-geojson-featurecollection-to-postgresql-with-postgis/142479#142479 but when i run the app i receive the following error: please let me know how to fix it. code: attempts: Answer From the database perspective the query works just fine, but the issue seems to be in the query building. Your query has a JSON document containing multiple “

Python code to send data from I2C sensor to a local SQL database

I am working on a system of I2C sensors connected together and communicating to a raspberry pi4B. With the code below I am able to save the measurements in a excel file. I would like to store them in a table inside a sql database that I have created locally on my laptop. What should I change in this code?

How to create a complex aggregate function in sqlite

Suppose I have the following table where there are two sets of observation dates (2015-01-01, 2016-01-01) in the first column. For each observation date, there are associated item_date and item_value. observation_date item_date item_value 2015-01-01 2012-12-31 0 2015-01-01 2013-03-31 1 2015-01-01 2013-06-30 2 2015-01-01 2013-09-30 3 2015-01-01 2013-12-31 4 2015-01-01 2014-03-31 5 2015-01-01 2014-06-30 6 2015-01-01 2014-09-30 7 2016-01-01 2013-09-30 8

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