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Pipeline from AWS RDS to S3 using Glue


By : anil
Date : October 17 2020, 08:10 AM
should help you out You can't pull data from AWS RDS to S3 using Athena. Athena is a query engine over S3 data. To be able to extract data from RDS to S3, you can run a Glue job to read from a particular RDS table and create S3 dump in parquet format which will create another external table pointing to S3 data. Then you can query that S3 data using Athena. A sample code snippet to read from RDS using Glue catalog and write parquet in S3 will look like below. There are some Glue predefined template which you can use to experiment. Start with a small table first. Please let me know if it worked out for you or any further questions/issues.
code :
datasource0 = glueContext.create_dynamic_frame.from_options(connection_type="postgresql", connection_options = 
{"url": "jdbc-url/database",
"user": "user_name",
"password": "password",
"dbtable": "table_name"},
transformation_ctx = "datasource0")

   datasink4 = glueContext.write_dynamic_frame.from_options(frame = datasource0, connection_type = "s3", connection_options = {"path": "s3://aws-glue-tpcds-parquet/"+ tableName + "/"}, format = "parquet", transformation_ctx = "datasink4")


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using glue::glue to write plotmath expressions like italic fontface or greek letters


By : Marcelo Silva Arão
Date : March 29 2020, 07:55 AM
wish of those help Is there any way to use the glue package to write plotmath expressions? See an example below where I would like to use glue::glue to prepare an annotation for a plot. , Instead of using substitute, a compact option would be bquote
code :
lbl <- bquote("The estimate for"~.(res$term[2])~is ~italic(beta) == .(res$statistic[2]))

cowplot::ggdraw(cowplot::add_sub(
 plot = ggplot(data.frame()) + 
                 geom_point() +
                 xlim(0, 10) +
                  ylim(0, 100), 
        label =  lbl))

Aws data pipeline trigger aws glue crawler


By : user1902409
Date : March 29 2020, 07:55 AM
I hope this helps you . Maybe you could use ShellCommandActivity and call aws glue start-crawler.

CI/CD pipeline for AWS Glue


By : user3435999
Date : March 29 2020, 07:55 AM
Hope that helps Please refer to this which explains in detail on setting up a CI/CD pipeline across multiple accounts in a secured manner.
Is separating Dev, Test and Prod account (different IAM) for building and managing Data Pipelines/ Data warehouse, a good practice?

AWS Glue - how to change column names in Glue Catalog table using BOTO3?


By : user3459223
Date : March 29 2020, 07:55 AM
it fixes the issue You can try pulling the tables and updating the names. Here is an example of what I would do.
First we'll try and retrieve the table:
code :
    database_name = 'ENTER TABLE NAME'
    table_name = 'ENTER TABLE NAME'
    response = self.glue_client.get_table(DatabaseName=database_name,table_name=Name)
    old_table = response['Table']
    field_names = [
      "Name",
      "Description",
      "Owner",
      "LastAccessTime",
      "LastAnalyzedTime",
      "Retention",
      "StorageDescriptor",
      "PartitionKeys",
      "ViewOriginalText",
      "ViewExpandedText",
      "TableType",
      "Parameters"
    ]
    new_table = dict()
    for key in field_names:
     if key in old_table:
      new_table[key] = old_table[key]
    for col in new_table['StorageDescriptor']['Columns']:
      if col['Name'] == 'col_0':
        col['Name'] = 'new_col' 
    response=self.glue_client.update_table(DatabaseName=database_name,TableInput=new_table)

Aws Glue not detect partitions and create 10000+ tables in aws glue catalogs


By : Miles Bonner
Date : March 29 2020, 07:55 AM
This might help you Need to crawl a parent folder with all partition under it, otherwise the crawler will treat each partition as a seperate table. So example, create as such
code :
s3://bucket/table/part=1
s3://bucket/table/part=2
s3://bucket/table/part=3
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