ExecutionGraph | Fast Generic Execution Graph/Network

 by   gabyx C++ Version: v1.0.1 License: MPL-2.0

kandi X-RAY | ExecutionGraph Summary

kandi X-RAY | ExecutionGraph Summary

ExecutionGraph is a C++ library typically used in User Interface, Nodejs applications. ExecutionGraph has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub, GitLab.

The execution graph implemented in ExecutionTree is a directed acyclic graph consisting of several connected nodes derived from LogicNode which define a simple input/output control flow. Each node in the execution graph contains several input/output sockets (LogicSocket) with a certain type out of the predefined types defined in LogicSocketTypes. An execution graph works in the way that each node contains a specific compute routine which provides values for the output sockets by using the values from the input sockets. Each output of a node can be linked to an input of the same type of another node. This means an output socket of the arithmetic type double cannot be linked to an input socket of integral type int for example. Each node can be assigned to one or more execution groups which are collections of nodes and form directed acyclic subgraphs. For each execution group, an execution order is computed such that the data flow defined by the input/output links in the group is respected. An execution order of an execution group is called a topological ordering in computer science, and such an ordering always exists for a directed acyclic graph, despite being non-unique. A topological ordering of an execution group is an ordering of all nodes such that for all connections from a node A to B, A precedes B in the ordering. Each execution graph network consists of several input nodes whose output sockets are initialized before executing the network. The implementation in LogicSocket allows two types of directed links between an input and output socket, namely a get and a write connection. A write link is a link from an output socket i of a node A to an input socket j of some node B, denoted as {A,i} -> {j,B}. A write link basically duplicates a write request to the output socket i of A also to an additional write request to the input socket j of B. A get link is the exact opposite and is a link from an input socket j of a node B to an output socket i of a node A, denoted as {A,i} <- {j,B}. A get link basically forwards any read access on the input socket j of B to a read access on the input socket i of A. Most of the time only get links are necessary but as soon as the execution graph becomes more complex and certain switching behavior should be reproduced, the additional write links are a convenient tool to realize this. Cyclic paths between nodes are detected and result in an error when building the execution network. The write and read access to input and output sockets is implemented using a fast static type dispatch system in LogicSocket. Static type dispatching avoids the use of virtual calls when using polymorphic objects in object-oriented programming languages.
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            kandi-support Support

              ExecutionGraph has a low active ecosystem.
              It has 36 star(s) with 7 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 10 open issues and 4 have been closed. On average issues are closed in 143 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ExecutionGraph is v1.0.1

            kandi-Quality Quality

              ExecutionGraph has 0 bugs and 0 code smells.

            kandi-Security Security

              ExecutionGraph has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              ExecutionGraph code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              ExecutionGraph is licensed under the MPL-2.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              ExecutionGraph releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ExecutionGraph
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            ExecutionGraph Key Features

            No Key Features are available at this moment for ExecutionGraph.

            ExecutionGraph Examples and Code Snippets

            Contributing,Introduction,Example 1:
            C++dot img1Lines of Code : 89dot img1License : Weak Copyleft (MPL-2.0)
            copy iconCopy
            template
            class IntegerNode : public typename TConfig::NodeBaseType
            {
            public:
                using Config = TConfig;
                using NodeBaseType = typename Config::NodeBaseType;
                enum Ins
                {
                    Value1,
                    Value2
                };
                enum Outs
                {
                    Resu  
            ExecutionGraph,Building
            C++dot img2Lines of Code : 17dot img2License : Weak Copyleft (MPL-2.0)
            copy iconCopy
            cd 
            mkdir build
            cd build
            # configuring the superbuild (-DUSE_SUPERBUILD=ON is default)
            cmake .. -DUSE_SUPERBUILD=ON \
                    -DExecutionGraph_BUILD_TESTS=true \
                    -DExecutionGraph_BUILD_LIBRARY=true \
                    -DExecutionGraph_BUILD_GUI=true \
              
            OS X
            C++dot img3Lines of Code : 5dot img3License : Weak Copyleft (MPL-2.0)
            copy iconCopy
            brew install --HEAD llvm --with-toolchain --with-lldb
            
            git clone https://github.com/llvm/llvm-project llvm-project
            mkdir llvm-build && cd llvm-build
            cmake ../llvm-project/llvm -DCMAKE_BUILD_TYPE=Release -DLLVM_ENABLE_PROJECTS="clang;libcxx;li  

            Community Discussions

            QUESTION

            Flink. Kafka Consumer does not get messages from Kafka
            Asked 2021-Nov-25 at 16:10

            I am running Kafka and Flink as docker containers on my mac.

            I have implemented Flink Job that should consume messages from a Kafka topic. I run a python producer that sends messages to the topic.

            The job starts with no issues but zero messages arrive. I believe the messages are sent to the correct topic since I have python consumer that is able to consume messages.

            flink job (java):

            ...

            ANSWER

            Answered 2021-Nov-25 at 16:10

            The Flink metrics you are looking at only measure traffic happening within the Flink cluster itself (using Flink's serializers and network stack), and ignore the communication at the edges of the job graph (using the connectors' serializers and networking).

            In other words, sources never report records coming in, and sinks never report records going out.

            Furthermore, in your job all of the operators can be chained together, so Flink's network is not used at all.

            Yes, this is confusing.

            Source https://stackoverflow.com/questions/70100813

            QUESTION

            Flink (on docker) to consume data from Kafka (on docker)
            Asked 2021-Nov-25 at 05:41

            I have Flink (task manager and job manager) and Kafka running as docker images on my mac.
            I have created a Flink job and deployed it. The job uses FlinkKafkaConsumer and FlinkKafkaProducer and should consume from kafka and produce back to kafka.

            Looks like the "bootstrap.servers" I use (kafka:9092) has no meaning for Flink which fails with:

            ...

            ANSWER

            Answered 2021-Nov-23 at 17:42

            Most likely you'll have to configure KAFKA_ADVERTISED_LISTENERS and point Flink to the configured value. For example, in my Docker setup at https://github.com/MartijnVisser/flink-only-sql I have the following configuration in my Docker compose file:

            Source https://stackoverflow.com/questions/70085088

            QUESTION

            Apache Flink fails with KryoException when serializing POJO class
            Asked 2021-Nov-21 at 19:38

            I started "playing" with Apache Flink recently. I've put together a small application to start testing the framework and so on. I'm currently running into a problem when trying to serialize a usual POJO class:

            ...

            ANSWER

            Answered 2021-Nov-21 at 19:38

            Since the issue is with Kryo serialization, you can register your own custom Kryo serializers. But in my experience this hasn't worked all that well for reasons I don't completely understand (not always used). Plus Kryo serialization is going to be much slower than creating a POJO that Flink can serialize using built-in support. So add setters for every field, verify nothing gets logged about class Species missing something that qualifies it for fast serialization, and you should be all set.

            Source https://stackoverflow.com/questions/70048053

            QUESTION

            Problem when starting tasks in docker standalone flink
            Asked 2021-Oct-18 at 07:29

            We have developed in Flink a system that reads files from a directory, group them by client and depending on the type of information, those got pushed to a sink. We did this with a local installation of Flink in our machines and it was working without issues. However, when we dockerized the project, our job is correctly submitted and UI shows it as running, but the job is actually never started. In the UI is showed like this when we go to the details: Flink dashboard screenshot

            Logs in the job are showing the following:

            ...

            ANSWER

            Answered 2021-Oct-18 at 07:29

            After several tries, we found the problem and the solution: Standalone docker job just submit the job but never gets started.

            In order to solve this, we need to create 2 extra containers, one for job manager and one for task manager:

            Source https://stackoverflow.com/questions/69584681

            QUESTION

            remote flink job with query to Hive on yarn-cluster error:NoClassDefFoundError: org/apache/hadoop/mapred/JobConf
            Asked 2021-Oct-03 at 13:42

            env: HDP: 3.1.5(hadoop: 3.1.1, hive: 3.1.0), Flink: 1.12.2 Java code:

            ...

            ANSWER

            Answered 2021-Oct-03 at 13:42
            1、commons-cli choose 1.3.1 or 1.4
            2、add $hadoop_home/../hadoop_mapreduce/* to yarn.application.classpath
            

            Source https://stackoverflow.com/questions/69416615

            QUESTION

            Flink cluster on top of Kubernetes
            Asked 2021-Sep-29 at 12:01

            I've deploy a flink cluster on kubernetes, this is composed of 1 jobmanager and 6 taskmanagers. I tried to run a flink job that consume high amount of data on that cluster. But It seems that it is not resilient since when a taskmanager pod restart, the whole job failed. So i was wondering if flink cluster deployed on top of kubernetes was resilient to failure? Cause it happens very often that a taskmanager pod restarts

            ...

            ANSWER

            Answered 2021-Sep-10 at 17:41

            Unless a job is able to take advantage of fine-grained recovery, any task manager failure will cause all jobs running on that TM to fail and restart. This is normal. What you should be trying to figure out is why the pod is restarting. One common cause of this in containerized environments is not having the memory properly configured, in which case out-of-memory exceptions become a frequent occurrence.

            Source https://stackoverflow.com/questions/69123773

            QUESTION

            Flink Python Datastream API Kafka Producer Sink Serializaion
            Asked 2021-Sep-15 at 11:36

            Hi i'm trying to read data from one kafka topic and writing to another after making some processing. I'm able to read data and process it when i try to write it to another topic. it gives the error

            If i try to write the data as it is without doing any processing over it. Kafka producer SimpleStringSchema acccepts it. But i want to convert String to Json. play with Json and then write it to another topic in String format.

            My Code :

            ...

            ANSWER

            Answered 2021-Sep-13 at 03:22

            Maybe you can set ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG and ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG in producer_config in FlinkKafkaProducer

            props.put("key.serializer", "org.apache.kafka.common.serialization.ByteArraySerializer"); props.put("value.serializer", "org.apache.kafka.common.serialization.ByteArraySerializer");

            Source https://stackoverflow.com/questions/69156114

            QUESTION

            Flink connector with Confluent Cloud without schema registry
            Asked 2021-Aug-20 at 22:01

            I'm trying to run KafkaGettingStartedJob from https://github.com/aws-samples/amazon-kinesis-data-analytics-java-examples repo. It is running fine while connecting with AWS MSK. I'm facing issues while running the same with Confluent Cloud. I have modified it to simply read data from one topic and write to other. I'm using following properties:

            ...

            ANSWER

            Answered 2021-Aug-20 at 18:00

            Finally after a lot of effort, found out that I had a typo in setting sasl.mechanism property. Mine was sasl.mechanisms. This link https://discourse.snowplowanalytics.com/t/kafka-confluent-cloud-authentication/4888 saved my day.

            Source https://stackoverflow.com/questions/68843550

            QUESTION

            Apache Flink FileSink in BATCH execution mode: in-progress files are not transitioned to finished state
            Asked 2021-Jul-13 at 13:51

            What we are trying to do: we are evaluating Flink to perform batch processing using DataStream API in BATCH mode.

            Minimal application to reproduce the issue:

            ...

            ANSWER

            Answered 2021-Jul-13 at 13:51

            The source interfaces where reworked in FLIP-27 to provide support for BATCH execution mode in the DataStream API. In order to get the FileSink to properly transition PENDING files to FINISHED when running in BATCH mode, you need to use a source that implements FLIP-27, such as the FileSource (instead of readTextFile): https://ci.apache.org/projects/flink/flink-docs-release-1.13/api/java/org/apache/flink/connector/file/src/FileSource.html.

            As you discovered, that looks like this:

            Source https://stackoverflow.com/questions/68359384

            QUESTION

            What's wrong with my Pyflink setup that Python UDFs throw py4j exceptions?
            Asked 2021-Jun-18 at 18:54

            I'm playing with the flink python datastream tutorial from the documentation: https://ci.apache.org/projects/flink/flink-docs-master/docs/dev/python/datastream_tutorial/

            Environment

            My environment is on Windows 10. java -version gives:

            ...

            ANSWER

            Answered 2021-Jun-18 at 18:54

            Ok, now after hours of troubleshooting I found out that the issue is not with my python or java setup or with pyflink.

            The issue is my company proxy. I didn't think of networking, but py4j needs networking under the hood. Should have spent more attention to this line in the stacktrace:

            Source https://stackoverflow.com/questions/68015759

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install ExecutionGraph

            If you start developing, install the pre-commit/post-commit hooks with:.

            Support

            This project supports Visual Studio Code which is warmly recommended. Note: Dont use the multi-root workspaces feature in VS Code since the C++ Extension does not yet support this and code completion won't work properly.
            Find more information at:

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            gh repo clone gabyx/ExecutionGraph

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            git@github.com:gabyx/ExecutionGraph.git

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