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Configure the job with the PROCESS-TASK option to use the com.marklogic.developer.corb.ExportBatchToFileTask class, which will write the results of each process module invocation to an output file. You can configure where to write the file and the filename with EXPORT-FILE-NAME and EXPORT-FILE-DIR options. If you don't configure the EXPORT-FILE-DIR and just give it a filename with EXPORT-FILE-NAME it writes relative from where CoRB is launched.

The CoRB StreamingXPath is not currently able to register and leverage namespaces and namespace-prefixes, so the XPath targeting namespace-qualified elements can't leverage namespace-prefixes.

A more generic match on the document element with a predicate filtering by local-name() will work though. It's a little ugly and a lot more typing, but works:

This it was bug in IntelliJ IDEA. They will be fix it in version 2021.2

(Edited with usage instructions below) The Gods of SQL Purity may scorn me for this answer but I propose creating a Javascript UDF that takes the output of GET_DDL, parses the results and returns to a SQL statement, which you can then copy/paste and run.

Here is one such UDF which worked against the table I tried it on by select prepare_seed_stmt('my_tbl', get_ddl('table', 'my_tbl'));

Pay close attention to the expressions object to make sure it does what you want and since many datatypes are missing (like VARIANT, etc)

varchar and nvarchar columns do not produce the same hash results...

So I found how the issues comes up:

There are 3 modules doing the same task The google API client Flask request Requests

This caused the conflicting code.

Will update after my API calls are working

It maybe the null-safety of Flutter 2.0.1 cause build release failed(I found other error may cause this error, but the build error tips has no relation with the real error). I fix it by prebuild project add this line in workflow ci file:

It's more a process than a single event or piece of code, but here's a SQL query that can help. To isolate credit consumption cleanly, you need separate warehouses. It is possible, however, to estimate the credit consumption over time by user. It's an estimate because a warehouse is a shared resource, and since two or more users can be using a warehouse simultaneously the best we can do is figure a way to apportion who's responsible for what part of that consumption.

The following query estimates credit consumption by user over time using the following approach:

1. Each segment in time that a warehouse runs gets logged as a row in the SNOWFLAKE.ACCOUNT_USAGE.METERING_HISTORY view.
2. If only one user is active in the duration of that segment, the query assigns 100% of the usage to that user.
3. If more than one user is active in the duration of a segment, the query takes the total query run time for a user and divides it by the total query run time in that segment for all users. This pro-rates the shared warehouse by query runtime.

#3 is the approximation, but it's suitable if you don't use it for chargebacks or billing someone for data share usage.

Be sure to change the warehouse name to your WH name and set the start and end timestamps for the duration you'd like to check usage.

Guys I found the trouble!

It was missing to add some variables RUNDECK_JAAS_LDAP_ROLEMEMBERATTRIBUTE and RUNDECK_JAAS_LDAP_ROLEOBJECTCLASS, by default if you don't declare that, Rundeck assume another values. After I apply this vars and re-deploy my Rundeck Pod back works my access using my AD Account.

To help the community I'm making available the list of vars that I used in my deployment: