tgraph | mine and analyse twitter friend graph

I am new to the boost graph library and I am trying to find the shortest path from one vertex to another one in the Graph using the boost graph library. I found some instructions on how to use the predecessor map in order to do that but it won't work for me. When I try to call p[some_vertex] I get an error saying the [] operator is not defined. Can someone tell me why and what I am doing wrong?

Following principle: when I want to return a collection from a function I will pass an output iterator and let the caller decide where the output should go.

Consider the class which has n methods and each one returns some collection. This mean that I need to construct class with n template parameters (output iterators). The number of template parameters will start to grow, and I don't know how to handle this problem.

Specific example:

I've been looking into this issue for a while, I hope to get some clarification here.

I have developed a Template class. One of its methods takes for input two functions with different parameters, as follows:

I'm looking to find some pseudocode, algorithm, or guidance that will help me find a proper iterative post-order traversal algorithm for generalized graph data structures.

I've found plenty of resources (like a two stack or one stack algorithms) that works great with trees, but break down for graphs as they can't handle cycles / back edges, cross edges, etc.

I've successfully written a recursive post-order graph traversal algorithm, which looks like this:

I have a batch job in Apache Beam 2.2.0 running on DataFlow in Google Cloud, which interacts with Bigtable. The job seems to execute correctly on very small test datasets, but doesn't seem to parallelize well and really under-utilizes the resources thrown at it.

The aim is roughly to achieve the following:

• Given one initial keyword, say name "Bob", find all rows in Bigtable TableA by row-prefix "Bob" (full row schema is something like "Bob*CategoryXXX"
• For each of these rows, find all rows in TableB by the row-prefix "CategoryXXX" (full row schema there is something like "CategoryXXX*ItemIDYYY"
• For each of THOSE rows, find all rows in TableC by the row-prefix "ItemIDYYY"
• Count up all items in that last operation
• Write those results into another table in BigTable

I run this job with 10 n1-standard-1 workers, explicitly disallowing auto-scaling, because in tries to scale things down. CPU utilization on each worker is below 10% and the BigTable instance seems similarly underutilized (virtually zero activity). My custom counters display a tiny bit of progress, so the job isn't stuck, but working really slowly.

Here are the snippets of the relevant code:

I am working in a code in C++ where a class that I created stores a vector of boost/dynamic_bitset as a private field. I need to be able to access and modify any position in the vector to do bitset operations (&, |, ^, ...).

It's possible to expose the vector assignment (=) and access([]) operators without having to reimplement them? Just like I did with iterators.

Here is the header:

I have a data structure as follows: