de-simple | Diachronic Embedding for Temporal Knowledge Graph Completion | Graph Database library

From the docs:

By default, row-level security filtering uses single-directional filters, whether the relationships are set to single direction or bi-directional. You can manually enable bi-directional cross-filtering with row-level security by selecting the relationship and checking the Apply security filter in both directions checkbox. Select this option when you've also implemented dynamic row-level security at the server level, where row-level security is based on username or login ID.

https://docs.microsoft.com/en-us/power-bi/admin/service-admin-rls

To quote the Snowflake documentation: "A stream stores the current transactional version of a table and is the appropriate source of CDC records in most scenarios."

Have a look at this example in the Snowflake documentation: https://docs.snowflake.com/en/user-guide/streams.html#example-1

My understanding is that a stream will only hold the current version of a record until you advance the offset. So if you insert a record and then update it, before advancing the offset, then it will show a single insert but the fields will hold the latest values.

If you then advance the offset and update or delete the record then those events will show in the stream - though if you updated and then deleted the same record (before advancing the offset) the stream would just show the delete, as that's the last position for that record.

UPDATE 1 It sounds like you are trying to implement audit tracking for every change made to a record in a table - this is not what Streams are designed to do and I don't think you would be able to implement a solution, using Streams, that guaranteed to log every change.

If you read the Streams documentation it states "The stream can provide the set of changes from the current offset to the current transactional time of the source table (i.e. the current version of the table). The stream maintains only the delta of the changes; if multiple DML statements change a row, the stream contains only the latest action taken on that row."

CDC is a terminology specifically related to loading data warehouses and is never meant as a generic term for capturing every change made to a record.

If you want to create a genuine auditing capability in Snowflake then I'm afraid I don't know if that is possible. The time travel feature shows that Snowflake retains all the changes made to a record (within the retention period) but I'm not aware of any way of accessing just these changes; I think you can only access the history of a record at points in time and you have no way of knowing at what times any changes were made

UPDATE 2 Just realised that Snowflake allows Change Tracking on a table without necessarily using Streams. This is probably a better solution if you want to capture all changes to a table, not just the latest version. The functionality is documented here: https://docs.snowflake.com/en/sql-reference/constructs/changes.html

Only ports 80 and 443 are open for Web Apps. You should change the listen port to process.env.PORT.

At present, there is no way to run the real Cloudflare Workers runtime locally. The Workers team knows that developers need this, but it will take some work to separate the core Workers runtime from the rest of Cloudflare's software stack, which is otherwise too complex to run locally.

In the meantime, there are a couple options you can try instead:

Cloudworker is an emulator for Cloudflare Workers that runs locally on top of node.js. It was built by engineers at Dollar Shave Club, a company that uses Workers, not by Cloudflare. Since it's an entire independent implementation of the Workers environment, there are likely to be small differences between how it behaves vs. the "real thing". However, it's good enough to get some work done.

The preview seen on cloudflareworkers.com can be accessed via API. With some curl commands, you can upload your code to cloudflareworkers.com and run tests on it. This isn't really "local", but if you're always connected to the internet anyway, it's almost the same. You don't need any special credentials to use this API, so you can write some scripts that use it to run unit tests, etc.

Upload a script called worker.js by POSTing it to https://cloudflareworkers.com/script:

This issue is solved as of SAP Cloud SDK version 3.11.0.

It is not recommended to run your Streams application on the same servers as your brokers (even if this is technically possible). Kafka's Streams API offers an application-based approach -- not a cluster-based approach -- because it's a library and not a framework.

It is not required to scale your Kafka cluster to scale your Streams application. In general, the parallelism of a Streams application is limited by the number of partitions of your app's input topics. It is recommended to over-partition your topic (the overhead for this is rather small) to guard against scaling limitations.

Thus, it is even simpler to "offer anyone to build applications" as everyone owns their application. There is no need to submit apps to a cluster. They can be executed anywhere you like (thus, each team can deploy their Streams application the same way by which they deploy any other application they have). Thus, you have many deployment options from a WAR file, over YARN/Mesos, to containers (like Kubernetes). Whatever works best for you.

Even if frameworks like Flink, Storm, or Samza offer cluster management, you can only use such tools that are integrated with those frameworks (for example, Samza requires YARN -- no other options available). Let's say you have already a Mesos setup, you can reuse it for your Kafka Streams applications -- no need for a dedicated "Kafka Streams cluster" (because there is no such thing).

First of all , the expected result should not be something like :

Well, not sure what's going on with this npm package, ended up using the raw googleapis and it's working fine.

Good resource; https://www.multiminds.eu/blog/2018/11/22/google-analytics-reporting-api/

Webpack can be used in order to create a single JS containing all dependencies.

https://github.com/eggeral/kotlin-single-js-file-lib shows a complete example

1. Make sure the KotlinJS compiler uses as module system which is understood by webpack.