ExecutionGraph | Fast Generic Execution Graph/Network
kandi X-RAY | ExecutionGraph Summary
kandi X-RAY | ExecutionGraph Summary
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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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ExecutionGraph
ExecutionGraph Key Features
ExecutionGraph Examples and Code Snippets
template
class IntegerNode : public typename TConfig::NodeBaseType
{
public:
using Config = TConfig;
using NodeBaseType = typename Config::NodeBaseType;
enum Ins
{
Value1,
Value2
};
enum Outs
{
Resu
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 \
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
Trending Discussions on ExecutionGraph
QUESTION
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 16:10The 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.
QUESTION
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 17:42Most 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:
QUESTION
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 19:38Since 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.
QUESTION
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 07:29After 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:
QUESTION
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 13:421、commons-cli choose 1.3.1 or 1.4
2、add $hadoop_home/../hadoop_mapreduce/* to yarn.application.classpath
QUESTION
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 17:41Unless 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.
QUESTION
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 03:22Maybe 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");
QUESTION
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 18:00Finally 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.
QUESTION
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 13:51The 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:
QUESTION
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/
EnvironmentMy environment is on Windows 10. java -version
gives:
ANSWER
Answered 2021-Jun-18 at 18:54Ok, 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:
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