stream-filter | A simple and modern approach to stream filtering in PHP | Widget library

I read the answers to this question: Will Java 8 create a new List after using Stream "filter" and "collect"?

But it did not quite match my experience... I think. And I'm just wanting to make sure I'm clear on the situation.

Consider the following code (which can be run on https://www.tutorialspoint.com/compile_java_online.php):

I have trying to make some "replacement-wrapper" over stream described in this : [article][1]

But when I tested it with not so big file (about 120M) it showed me an error:

I have a stream of nodes and a stream of edges that represent consecutive updates of a graph and I want to build patterns composed of nodes and edges using multiple joins in series. Let's suppose I want to match a pattern like: (node1) --[edge1]--> (node2).
My idea is to join the stream of nodes with the stream of edges in order to compose a stream of sub-patterns of type (node1) --[edge1]-->. Then take the resulting stream and join it with the stream of nodes another time in order to compose the final pattern (node1) --[edge1]--> (node2). Filterings on the particular type of nodes and edges are not important.

So I have nodes, edges and patterns structured in Avro format:

I was following the tutorial of the apache Kafka website link.

The input topic is processed as stream and middle topics also generated but the final output topic is empty.

Below is the topology output:

In a future course, I'll be having a discipline that uses Python with an emphasis of using sequences and generators and that kind of stuff inn Python.

I've been following an exercise list to exercise these parts. I'm stuck on an exercise that asks for a prime generator. Up until now, I haven't used Python very much, but I've read and done most of the exercises in SICP. There, they present the following program that makes use of the sieve of Eratosthenes to generate a lazy list of primes.

I've a complex Kafka Stream application with 2 flows fully stateful in the same stream :

• it use a Execution topic as source, enhanced the message and republished back to the same Execution topic.
• it join another topic WorkerTaskResult, add the result to Execution and published back to Execution Topic.

The main goal is to provide a workflow system.

The detailled logic are :

• an Execution is a list of TaskRun
• the Execution look at all the current state of all TaskRun and find the next one to execute
• If any is found, Execution alter their TaskRunsList and add the next one and publish back to Kafka, also it send to another queue the task to be done (WorkerTask)
• the WorkerTask is proceed outside of the Kafka stream and publish back to another queue (WorkerTaskResult) with a simple Kafka Consumer & Producer
• the WorkerTaskResult alter current TaskRun in the current Execution and changed the status (mostly RUNNING / SUCCEED / FAILED) and also published back to Execution queue (with Kafka Stream)

As you can see, the Execution (with TaskRun list) is the state are current application.

The stream works well when all the message are sequential (no concurrency, I can only have one alter of TaskRun list at the same time). When the workflow became Parallel (concurrent WorkerTaskResult can be join), it seems that my Execution state is override and produce a kind of roolback.

Example log output:

I had a day window with initially grace period set as O. Got a new requirement to add grace period of 15 mins.

Kafka streaming version: 2.1

Code Snippet-

KTable, JsonNode> profileAgg = transactions .groupByKey() .windowedBy( TimeWindows.of(Duration.ofSeconds(86400)).grace(Duration.ofSeconds(900)))

But somehow I am getting exception on process startup. How do I increase retention period?

Exception in thread "main" java.lang.IllegalArgumentException: The retention period of the window store KSTREAM-FILTER-0000000001 must be no smaller than its window size plus the grace period. Got size=[86400000], grace=[900000], retention=[86400000]

I have a list of object into the application context and I want to filter this list to get only one element to display jsp page. I tried to filter the list using a stream-filter function:

I have a mix-and-match DSL-PAPI topology. The DSL part joins pageviews("pageviews" topic) with users ("users" topic) of those pageviews. I want to join both, so in case the user is new, then create a new "user" from pvs information into the "users" topic, and do nothing otherwise.

So I'm trying to do a left join between pageviews and users, and in case the user comes null, that means no user was created yet with this key, so in that case I create one.

In code, I get pageviews as stream and user as table, joined them producing new User when user comes null in the join, and then filtering and sending to "users" those new users.