Provenance | Program to help you determine the provenance of unknown Jar | Build Tool library

The response basically looks like a list of dicts. So to extract names (or other keys) you can just do a list comprehension:

[d['name'] for d in data_quote]

Is my understanding correct?

No.

You're correct about the local variables; but not for the struct example.

According to C standard, does mystery_2 always return 1 as p1 == p2 yields true?

No. That's not guaranteed by the C standard. Because there can be padding between one and two.

Practically, there's no reason for any compiler to insert padding between them in this example. And you can nearly always expect mystery_2 to return 1. But this is not required by the C standard and thus a pathological compiler could insert padding between one and two and that'd be perfectly valid.

With respect to padding: The only guarantee is that there can't be any padding before the first member of a struct. So a pointer to a struct and a pointer to its first member are guaranteed to be the same. No other guarantees whatsoever.

Note: you should be using uinptr_t for storing pointer values (unsigned long isn't guaranteed to be able to hold a pointer value).

In MongoDB, users are stored in databases but a database (or databases) that a user has access to doesn't need to be the same as the database in which that user is stored.

The database in which the user is stored is called the authentication database. This is configured via the authSource URI option and various language-specific driver options, as well as the --authenticationDatabase mongo shell option.

The error message says that you are authenticating against the test database. Your earlier shell command shows an attempt to authenticate against the admin database.

Review which database the user was created in and ensure that you use the same database during authentication.

Hopefully this answers your questions:

1. You can export the provenance data many ways, to extract the content of the flowfile from the provenance event, I believe you have to get at the "content claims" for the flowfile, not sure how that works. Because the content claims are reclaimed when no flowfile in the current system is using it, I don't think you can query on provenance events' content when the content no longer exists in the content repository. Some components will add an attribute for any errors/status they encounter.

2. You can certainly use a SiteToSiteProvenanceReportingTask to send provenance data from a cluster back to itself, you probably just want to filter out the Input Port and Process Group that handle the processing of provenance data.

3. Data provenance is sometimes a graph problem but the events are often useful on their own (without needing to know the flow, e.g.) so analysis can be done on the events themselves. I've sent the events to a Hive table and then was able to do some things with HiveQL like calculating predicted backpressure on connections (before we added it to NiFi proper)

The relevantHistory is not the right field to use, since that will only list older Provenance resources that hold relevant information. The description specifically says it does not hold the Provenance resource associated with the current version of the ServiceRequest (see http://hl7.org/fhir/servicerequest-definitions.html#ServiceRequest.relevantHistory).

I think Provenance can still help you. You would not search on a field in ServiceRequest, but find ServiceRequests that have a Provenance where you/user are the actor:

Just as some of the MapTiler examples use a TileJSON (see https://github.com/mapbox/tilejson-spec/tree/master/2.2.0) for raster tiles, there are also TileJSONs for vector tiles, for example the style https://api.maptiler.com/maps/basic-2154/style.json?key=7A1r9pfPUNpumR1hzV0k contains the link

Thanks to @SethTisue for answering in the comments. I am writing up a answer for anybody who might face a similar issue in the future.

As Seth mentioned, using mkTuple was the right way to go. In order to use it, you need the following import

Yes you can access the pieces you need with '$'. Just combine those to into a data frame and have that be your ggplot data.

I don't think it's provided directly as a method in tokio, but you piece it together very simply yourself. There is no Either type in the Rust standard library but, like most other things, there's a crate for that.