backfill | A JavaScript caching library for reducing build time | Runtime Evironment library

I am trying to create a MySQL 5.x store procedure that backfills data given the following constraints:

• For each specialId, a row must be returned for the last day of each month in the activity_date column.
• the minimum and maximum activity_date in the table determines the amount of months that should be returned per specialId.
• For each row that does not already have an activity_date in the data, we backfill data with count = 0, brand = happyInc, the specialId, and the activity_date. The rest of the row can be null

Here is the data as it is in the table:

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Hi I have 2 tables to model a vacation request and the approvers who will approve the request. A request can have several approvers.

When an approver approves, the approver row has its approved_at column set to the current date.

The request table also has an approved_at column. This is set when ALL the approvers have approved and it is set to the most recent approver's approved_at date.

I need to backfill the requests table's approved at column with the most recent approver's approved_at time but only if all the approvers have approved.

I have solved it using a CTE with window functions but I'm wondering what other ways are there to solve this? I'd prefer a solution compliant with postgres.

Here's my solution

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I have the following dataframe:

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I have the following dataframe called df,

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I just set up AWS MWAA (managed airflow) and I'm playing around with running a simple bash script in a dag. I was reading the logs for the task and noticed that by default, the task looks for the aws_default connection and tries to use it but doesn't find it.

I went to the connections pane and set the aws_default connection but it still is showing the same message in the logs.

Airflow Connection: aws_conn_id=aws_default

No credentials retrieved from Connection

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I am following this tutorial on migrating data from an oracle database to a Cloud SQL PostreSQL instance.

I am using the Google Provided Streaming Template Datastream to PostgreSQL

At a high level this is what is expected:

1. Datastream exports in Avro format backfill and changed data into the specified Cloud Bucket location from the source Oracle database
2. This triggers the Dataflow job to pickup the Avro files from this cloud storage location and insert into PostgreSQL instance.

When the Avro files are uploaded into the Cloud Storage location, the job is indeed triggered but when I check the target PostgreSQL database the required data has not been populated.

When I check the job logs and worker logs, there are no error logs. When the job is triggered these are the logs that logged:

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I have the following Dataframe:

Track FGrating HorseId Last FGrating at Happy Valley Grass Happy Valley grass 97 22609 Happy Valley grass 106 22609 97 Happy Valley grass 104 22609 106 Happy Valley grass 102 22609 104 Happy Valley grass 95 22609 102 Sha Tin grass 108 22609 Sha Tin grass 104 22609 Happy Valley grass 107 22609 95 Sha Tin grass 102 22609 Happy Valley grass 108 22609 107

I need to fill the empty cells of the rightmost column according to these two rules:

1. If the horse didn't race on the particular track yet (Happy Valley grass, in this example), then the value to be filled is 0;
2. Between two races at the particular track (Happy Valley grass, in this example), the value to be filled is the last FGrating on the track in question (the two consecutive rows with Sha Tin grass will get the value 95 and the third one will get 107).

The end result will be like this:

Track FGrating HorseId Last FGrating at Happy Valley Grass Happy Valley grass 97 22609 0 (rule 1) Happy Valley grass 106 22609 97 Happy Valley grass 104 22609 106 Happy Valley grass 102 22609 104 Happy Valley grass 95 22609 102 Sha Tin grass 108 22609 95 (rule 2) Sha Tin grass 104 22609 95 (rule 2) Happy Valley grass 107 22609 95 Sha Tin grass 102 22609 107 (rule 2) Happy Valley grass 108 22609 107

I need this for every HorseId on the Dataframe

I tried doing a backfill then filling with 0, something like this:

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I have a data frame that looks something like this:

participant Sex Age interval reproduction condition 22014 Female 18 NA NA NA 22014 Female 18 1.536131 NA NA 22014 Female 18 NA NA NA 22014 Female 18 1.416826 NA NA 22014 Female 18 NA NA NA 22014 Female 18 1.549845 NA NA 22014 Female 18 NA NA NA 22014 Female 18 1.542681 NA NA 22014 Female 18 NA NA NA 22014 Female 18 1.265929 NA NA 22014 Female 18 NA 1.2531 NA 22014 Female 18 NA 1.2507 NA 22014 Female 18 NA 1.7841 NA 22014 Female 18 NA 1.3536 NA 22014 Female 18 NA 0.8031 NA 22014 Female 18 NA NA Non-Causal

etc.

I need to do 3 things:

1. 'backfill' the values in 'condition' upwards so that every cell in 'condition' upwards from a valid entry (here Non-Causal) is filled with that valid entry.

2. match the 5 entries in 'reproduction' with the 5 entries in 'interval' in corresponding order, i.e. so that 1.2531 is moved up to be next to 1.536131, and 1.2507 with 1.416826 etc

3. get rid of the NA rows so that in the end there are only 5 rows left, with valid entries in each of the columns

Any hints on how to tackle this? The actual dataframe is much longer, and 'condition' takes on different values; there will always be 5 entries, though ,per condition, and they should have matched interval and reproduction entries

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i have a question regarding fill null values, is it possible to backfill data from other columns as in pandas?

Working pandas example on how to backfill data :

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