Kafka Autoscaling Broker Id

Cluster Name, Broker ID: The size in bytes of memory that is free and available for the broker. This is a Kafka system that has more than one Kafka broker. The tool can run on the broker itself or on any other machine, and it will check the health of the entire cluster. In this case we only have one broker. These are the directories in which the log data is kept. The content of the JAAS file for user alice (e. bootstrap_brokers_tls - A comma separated list of one or more DNS names (or IPs) and TLS port pairs kafka brokers suitable to boostrap connectivity to the kafka cluster. If data loss is unacceptable then Kafka is basically the only open-source solution that is known for not losing data (if done correctly of course). Broker id - The first property is Broker id. Its value is basically the IPs (public, private doesn’t matter unless your Security Group is configured in that way that it don’t allow certain IPs. Go to the config directory and open the server. The overall architecture also includes producers, consumers, connectors, and stream processors. ClientVpcIpAddress (string) --The virtual private cloud (VPC) of the client. broker starts to look scary •Autoscaling Kafka is impossible, scaling is hard. This means that unless you have a need for complex broker features,ZeroMQ is a perfect message dispatcher among processes. I have a fairly controlled upstream message pipeline that imposes throughput limits (message rates before hitting Kafka), and I only have a need for ~4 hours retention in a primary topic(s). In this tutorial, you will install and use Apache Kafka 1. A sample of configuration file for the Kafka producer is as follows:. $ get /brokers/ids/ This command returns the host name of node assigned the ID you specify. If unset, a unique broker id will be generated. The manifest creates a three broker cluster using the kafka StatefulSet, a Headless Service, kafka-hs, to control the domain of the brokers; and a PodDisruptionBudget, kafka-pdb, that allows for one planned disruption. poll(), server closes connection with InvalidReceiveException. For more information, see Analyze logs for Apache Kafka on HDInsight. We clearly explained about configurations please follow this. View Vivek Singh’s profile on LinkedIn, the world's largest professional community. However, the introduction of Transactions between Kafka brokers and client applications ensures exactly-once delivery in Kafka. where is the port used for Apache Kafka. Kafka Brokers contain topic log partitions. Most typically only require an open bank account in relatively good standing (no derogatory marks, etc), a National Auto Loan Columbus Ohio steady stream of income, and a National Auto Loan Columbus Ohio valid form of ID. Only contains value if client_broker encryption in transit is set to PLAINTEXT or TLS_PLAINTEXT. Single Node: Below we will see how to set up a Single Node Kafka Cluster. We initially started by attaching 10 Azure Managed Disks to each Kafka broker. Therefore, applications that expect to communicate directly with a Kafka broker on a TCP port will not work. In a real-world scenario, there is a good chance that your Kafka producer does not receive an acknowledgment (maybe due to network failure) and retries the request even though the data was committed on the broker. Assign Custom Partition None This is a check box to select if Partition ID needs to be entered. Kafka Monitor allows you to monitor a cluster using end-to-end pipelines to obtain vital statistics such as end-to-end latency, service availability and message loss rate. Upon writing the data, each leader then replicates the same message to a different Kafka broker, either synchronously or asynchronously, as desired by the producer. In this tutorial, you will install and use Apache Kafka 1. Maven Dependencies. host name may not be null plugin may be missin not available kafka broker shutdow may be missing a Gra 错误:xz compression not available not found. So in short, what we do here. This tutorial will guide you through how to build a stateless stream processing application using the Kafka Streams library and run it in a Kubernetes cluster on Azure (AKS). It is an open source message broker project which was started by the Apache software. reset: Set the source option startingOffsets to specify where to start instead. These are the directories in which the log data is stored. properties and unique Id of node in zookeeper. Kafka version 0. Leader: Although a partition may be replicated to one or more brokers, a single broker is elected the leader for that partition, and is the only one who is allowed to write or read to/from that partition. This results in a. The truststore should have all the CA certificates by which the clients keys are signed. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. ZooKeeper is used in Kafka for managing service discovery for Kafka brokers, which form the cluster. I’m trying to run a spark streaming application using docker. By default Kafka broker starts at port 9092. properties and unique Id of node in zookeeper. We take from AWS API created in advance set of EIPs by tag. I have autoscaling groups that I want to dynamically scale up/down based on the amount of lag showing in certain Kafka topics. To implement High Availability messaging, you must create multiple brokers on different servers. This blog post is a direct follow up to my first blog post which covered the 5 steps for adding a new box type to GC's infrastructure. This means that unless you have a need for complex broker features,ZeroMQ is a perfect message dispatcher among processes. Because of those differences from traditional messaging brokers, Kafka can make optimizations. We create a new broker and update the broker. An autoscaling group will be created and Buku docker container will be running on all of the EC2 instances in this autoscaling group. kafka-python is best used with newer brokers (0. Consumer group is a multi-threaded or multi-machine consumption from Kafka topics. On the other hand, the number of disks had a direct effect on throughput. json, binary or avro). Anatomy of a Kafka Topic. Also submitted to GroupCoordinator for logging with respect to consumer group administration. connect), how much data should be sent across sockets, how many partitions there are by default, and the broker ID (broker. Kafka Tutorial: Writing a Kafka Producer in Java. Open a terminal window with five tabs. If Apache Kafka has more than one broker, that is what we call a Kafka cluster. Pykafka was the only python client to implement this feature. These individual nodes or servers are known as brokers. This input will read events from a Kafka topic. That avoid potential corruption of the data (if a new node starts writing in the same dir that is not actually empty, who knows what can happen) and also with Kafka, the topics being assigned a broker. However these new servers will not automatically be assigned any data partitions, so unless partitions are moved to them they won't be doing any work until new topics are created. If you moved your data, make sure your configured broker. sh" for topic balancing. pipeline for consumer internet companies. MapR Streams supports the Kafka API, but it doesnt provide the Kafka wire protocol. less than 30 minutes. Broker metrics. Java/ Kafka Developer 4 open roles 12 months contract. On the other hand, the number of disks had a direct effect on throughput. Similar to the StringSerialization in producer, we have StringDeserializer in consumer to convert bytes back to Object. 原文信息 :【storm kafka】RROR fetching topic metadata for topics [Set(order)] from broker [ArrayBuffer(id:0,host 全部 kafka-topic storm+kafka storm kafka storm-kafka kafka迁移topic kafka broker shutdow Topics remove Host from Cluster flume+kafka+storm flume kafka topic覆盖 Broker broker Metadata Metadata metadata MetaData Host. By the "internal use" Kafka topics, each worker instance coordinates with other worker instances belonging to the same group-id. We have been using Kafka since 0. All the Topics are divided into a number of partitions. The Kafka broker. So in short, what we do here. Autoscaling is natively supported on Kubernetes. The following are code examples for showing how to use pyspark. kafkabroker. Apache Kafka – Producers and Consumers Aman Sardana Big Data October 21, 2017 November 12, 2017 3 Minutes This post will provide a quick overview on how to write Kafka Producer and Kafka Consumer with a Kafka broker running locally. Events()` channel (set `"go. The containers zookeeper and kafka define a single-node Kafka cluster. 10 are supported. GetOffsetShell --broker-list localhost:9092 --topic mytopic --time -2 Get the latest offset still in a topic kafka-run-class. The targetAverageValue is based on users’ experience. Kafka is distributed in the sense that it stores, receives and sends messages on different nodes (called brokers). It // must not be empty. 5KB range vs the typical 180 byte server logs). Moreover, in this Kafka Broker Tutorial, we will learn how to start Kafka Broker and Kafka command-line Option. For broker compatibility, see the official Kafka compatibility reference. Broker - box with a unique broker. Tags are optional. [2015-05-07 04:17:34,917] WARN [Replica Manager on Broker 1]: Fetch request with correlation id 3630911 from client ReplicaFetcherThread-0-1 on partition [topic1,0] failed due to Leader not local for partition [cg22_user. (4 replies) I can't seem to find much information to help me (being green to kafka) on setting up a cluster on aws. Partitions allow you to parallelize a topic by splitting the data in a particular topic across multiple brokers — each partition can be placed on a. id) and can handle hundreds of thousands, or even millions, of messages per second. Since Azure Event Hubs exposes a protocol that is binary compatible with Kafka versions 1. Recommend:Kafka consumer fetching metadata for topics failed I am able to list and describe topics, but when I attempt to read any, a ClosedChannelException is raised. In this guide, I use the fictional namespace the-project. Default: 'kafka-python-3'. GetOffsetShell --broker-list localhost:9092 --topic mytopic --time -1 Producers 1) Produce messages standard input kafka-console-producer --broker-list localhost:9092 --topic. The ID of the broker. listeners configuration of the brokers is set to the internal IP of the hosts. Running the command lists the distribution of partition replicas on your current brokers followed by a proposed partition reassignment configuration. Kafka version 0. I think the easiest/best way to set up kafka in AWS is that you will need EC2 instances (I think kafka is okay with general type instance), persistence drive for your. It lightens the load by not maintaining any indexes that record what messages it has. sh --broker-list localhost:9092 --topic Hello-Kafka The broker-list specified of brokers that we want to send the messages to. Kafka is a distributed streaming platform which allows its users to send and receive live messages containing a bunch of data. The kafka-check command performs multiple checks on the health of the cluster. Partitions allow you to parallelize a topic by splitting the data in a particular topic across multiple brokers — each partition can be placed on a. If any consumer or broker fails to send heartbeat to ZooKeeper, then it can be re-configured via the Kafka cluster. Kafka port & broker id are configurable in this file. If you follow the Kafka development, you might be aware that they are about to release their 1. Kafka Output¶ Plugin Name: KafkaOutput. Producer append records to these logs and consumer. Cannot retrieve the latest commit at this time. The format is host1:port1,host2:port2, and the list can be a subset of brokers or a VIP pointing to a subset of brokers. The Kafka Producer connects to Kafka based on the topic and associated brokers that you specify. All of that is left up to the consumers. This tutorial will guide you through how to build a stateless stream processing application using the Kafka Streams library and run it in a Kubernetes cluster on Azure (AKS). By default, a Kafka broker only uses a single thread to replicate data from another broker, for all partitions that share replicas between the two brokers. If you intend to create a new broker, you should remove all data in your data directories (log. Following are the steps to balance topics when increase or decreasing number of nodes. is half the number of physical processors on the server. The truststore should have all the CA certificates by which the clients keys are signed. addrs ([]string) List of brokers addresses. It's a unique identifier for the Broker. This is where Kafka logs will be stored. Broker metrics can be broken down into three classes:. id 341 doesn't match stored broker. The cluster stores streams of records in categories called topics. group-id = test-group spring. To discover which node a particular ID is assigned, use the following command. A sample of configuration file for the Kafka producer is as follows:. Any source system which wants to publish messages to Kafka is known as Kafka producers. This helps you provide consistent performance for your end users during periods of high demand and reduce your costs during periods of low demand. /** * This API takes in a broker id, queries zookeeper for the broker metadata and returns the metadata for that broker * or throws an exception if the broker dies before the query to zookeeper finishes * * @param brokerId The broker id * @return An optional Broker object encapsulating the broker metadata */ def getBrokerInfo(brokerId: Int. How do we use Kafka in. Moreover, AWS autoscaling automatically creates all the scaling policies. This ID serves as the broker's name, and allows the broker to be moved to a different host/port without confusing consumers. In many deployments, administrators require fine-grained access control over Kafka topics to enforce important requirements around confidentiality and integrity. We’ll use our knowledge of the inside workings of Kafka and Zookeeper to produce various failure modes that produce message loss. Anatomy of a Kafka Topic. First, and to authenticate, their credentials need to be specified in a JAAS file. { Soham Kamani } About • Blog • Github • Twitter How to install and run Kafka on your machine 🌪 November 22, 2017. This can happen if the entire cluster is down and the client enters a bootstrap backoff sleep. Because of those differences from traditional messaging brokers, Kafka can make optimizations. This field is // optional, if nil, the default dialer is used instead. KAFKA _ CREATE _ TOPICS is optional. It has also been translated into Chinese. If you encounter a bug or missing feature, first check the pulumi/pulumi-kafka repo; however, if that doesn’t turn up anything, please consult the source Mongey/terraform-provider-kafka repo. Most interesting thing here are the server. We clearly explained about configurations please follow this. Highly available Kafka cluster in Docker Up until now we've been experimenting with Apache Kafka, a tool build with cluster and high availability in mind, but using exactly one host and availability settings which only few very optimistic people would call high. The containers zookeeper and kafka define a single-node Kafka cluster. setStartFromGroupOffsets (default behaviour): Start reading partitions from the consumer group's (group. Test Setup. Create an Azure Databricks cluster. yaml。apiVersion:. Yet, in certain cases, I did not use lineinfile because I wanted to keep the original files intact to be able to start the configuration all over again without having to go to the process of copying archives and installing them from scratch. Since Azure Event Hubs exposes a protocol that is binary compatible with Kafka versions 1. Subscribe to this APAR By subscribing, you receive periodic emails alerting you to the status of the APAR, along with a link to the fix after it becomes available. Jan 23, 2016. If you need a specific version of Kafka client(e. NSQ was great but lacked durability and replication. Let’s give a big round of applause for Apache Kafka. The Avro producer client takes a message and a schema as input. Kafka Brokers contain topic log partitions. Each broker is uniquely identified by a non-negative integer ID. In this post we’ll do exactly the same but with a Kafka cluster. I have a Thorough Introduction on this as well. Structured Streaming manages which offsets are consumed internally, rather than rely on the kafka Consumer to do it. Kubernetes also provides features for autoscaling, read more about auto scaling Kubernetes Pods should that be a requirement. Each subcommand will run a different check. They are extracted from open source Python projects. Let's append these two further notions to our list:. 8) It’s mandatory to have Apache Zookeeper while setting up the Kafka other side Storm is not Zookeeper dependent. However, the introduction of Transactions between Kafka brokers and client applications ensures exactly-once delivery in Kafka. Kafka also does not track the consumers that a topic has or who has consumed what messages. Kafka version 0. Cluster Name, Broker ID: The size in bytes of memory that is free and available for the broker. Neha Narkhede, Gwen Shapira, and Todd Palino Kafka: The Definitive Guide Real-Time Data and Stream Processing at Scale Beijing Boston Farnham Sebastopol Tokyo. Cluster Name, Broker ID. Topic name − Here is an example for the topic name. ID string // The list of broker addresses used to connect to the kafka cluster. Your Mortgage Australia Mortgage Australia. Create an Azure Databricks cluster. Kafka and Zookeeper can be manually scaled up at any time by altering and re-applying configuration. $ bin/kafka-console-producer. Event brokers and triggers. /tmp/kafka-logs. The brokers in the cluster are identified by an integer id only. This website does not constitute an. The commit log is then received by a unique Kafka broker, acting as the leader of the partition to which the message is sent. properties file contains, among other things, default values for where to connect to Apache Zookeeper (zookeeper. Are you happy with your logging solution? Would you help us out by taking a 30-second survey?. Kafka cluster size is same as auto scaling group size. Once it stops heartbeating, the session expires). For example, to start Kafka Monitor and begin monitoring a cluster, use the following script where you add the parameters specific to your cluster:. , dynamic partition assignment to multiple consumers in the same group – requires use of 0. If you moved your data, make sure your configured broker. Looking for a help in setting up kafka broker on single node. Let’s give a big round of applause for Apache Kafka. Event brokers and triggers. The content of the JAAS file for user alice (e. All of these manifests create a client service that the Kafka brokers can use to connect to a running server in the ZooKeeper ensemble. host name may not be null plugin may be missin not available kafka broker shutdow may be missing a Gra 错误:xz compression not available not found. »Data Source: aws_caller_identity Use this data source to get the access to the effective Account ID, User ID, and ARN in which Terraform is authorized. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Apache Kafka clusters are challenging to setup, scale, and manage in production. 对于Kafka中还提供了另外两个参数broker. The Kafka Handler uses these properties to resolve the host and port of the Kafka brokers, and properties in the Kafka producer configuration file control the behavior of the interaction between the Kafka producer client and the Kafka brokers. Broker metrics can be broken down into three classes:. Anatomy of a Kafka Topic. Prerequisites You must ensure that you meet the prerequisites listed in the Apache Kafka overview. CurrentBrokerSoftwareInfo (dict) --Information about the version of software currently deployed on the Kafka brokers in the cluster. Any source system which wants to publish messages to Kafka is known as Kafka producers. An autoscaling group will be created and Buku docker container will be running on all of the EC2 instances in this autoscaling group. wurstmeister/kafka With the separate images for Apache Zookeeper and Apache Kafka in wurstmeister/kafka project and a docker-compose. 问题解决了: 无法与kafka集群建立连接,无法获取meta信息导致的;通常需要修改kafka中的server. enable": true`) or by calling `. The purpose of adding replication in Kafka is for stronger durability and higher availability. We create a new broker and update the broker. x or higher due to its simpler threading model thanks to KIP-62. You should be able to see all of the IDs for the brokers you have registered in your Kafka cluster. Therefore, applications that expect to communicate directly with a Kafka broker on a TCP port will not work. Each Kafka Broker has a unique ID (number). Apache Kafka is a distributed commit log for fast, fault-tolerant communication between producers and consumers using message based topics. Initially, Kafka only supported at-most-once and at-least-once message delivery. Leader: Although a partition may be replicated to one or more brokers, a single broker is elected the leader for that partition, and is the only one who is allowed to write or read to/from that partition. sh config/server. Test Setup. Job Abstracts is an independent Job Search Engine, that provides consumer's direct job listings in their area to the respective Employers' actual Job Site or Applicant Tracking System. These are the directories in which the log data is stored. This endpoint enables you to configure your existing Kafka applications to talk to Azure Event Hubs, an alternative to running your own Kafka clusters. Because of those differences from traditional messaging brokers, Kafka can make optimizations. The Kafka brokers used in our tests are Azure Standard D4 V2 Linux VMs. Cluster Name, Broker ID. id is the id of the Kafka broker running on the host. If you intend to create a new broker, you should remove all data in your data directories (log. Consumer group is a multi-threaded or multi-machine consumption from Kafka topics. Top 30 Apache Kafka Interview Questions Q1) Explain what is Kafka? Kafka is a publish-subscribe messaging application which is coded in "Scala". The kafka-check command performs multiple checks on the health of the cluster. ClientVpcIpAddress (string) --The virtual private cloud (VPC) of the client. Otherwise the broker-id is increased with each new broker. This file contains Kafka broker configurations. A Bro log writer that sends logging output to Kafka. I'm fairly sure I can't use CloudWatch metrics to approach this. Apache Kafka on HDInsight architecture. Our automated topicmappr runs are configured to assume any broker list changes are repairs, which will result in all the holes 1010 left behind to be filled with the new broker ID (this is done using the count placement strategy combined with a feature called substitution affinity - see the Kafka-Kit wiki for details). What is a Kafka Consumer ? A Consumer is an application that reads data from Kafka Topics. I am using a Virtual Machine having Linux Centos 6. Let’s append these two further notions to our list:. The Kafka broker. Let’s assume we have cluster of 3 instances, so we should book 3 EIPs with tag `kafka-brokers-demo` and. json, binary or avro). Store streams of data. A sample of configuration file for the Kafka producer is as follows:. All the Topics are divided into a number of partitions. Recommend:Kafka consumer fetching metadata for topics failed I am able to list and describe topics, but when I attempt to read any, a ClosedChannelException is raised. The first part of Apache Kafka for beginners explains what Kafka is - a publish-subscribe-based durable messaging system that is exchanging data between processes, applications, and servers. bin/kafka-console-producer. We create a new broker and update the broker. We introduce Kafka, a distributed messaging system that we developed for collecting and delivering high volumes of log data with low latency. Section 3: Download Kafka This sections explored about the different approaches of downloading the Kafka distribution in your local. bin/kafka-console-producer. Apache Kafka - Producers and Consumers Aman Sardana Big Data October 21, 2017 November 12, 2017 3 Minutes This post will provide a quick overview on how to write Kafka Producer and Kafka Consumer with a Kafka broker running locally. Let’s give a big round of applause for Apache Kafka. This results in a. This input will read events from a Kafka topic. The tool can run on the broker itself or on any other machine, and it will check the health of the entire cluster. Red Hat AMQ Streams focuses on running Apache Kafka on Openshift providing a massively-scalable, distributed, and high performance data streaming platform. 8+ installed with JAVA_HOME configured appropriately. Adding more processes/threads will cause Kafka to re-balance. ConfigurationArn (string) --. Neha Narkhede, Gwen Shapira, and Todd Palino Kafka: The Definitive Guide Real-Time Data and Stream Processing at Scale Beijing Boston Farnham Sebastopol Tokyo. You can create this namespace in your cluster or. Scenario 3: To increase or decrease the number of nodes in a Kafka cluster. With these capabilities, we can use Kafka in a various situation such as real-time streaming, stream storage, message queue etc. Most typically only require an open bank account in relatively good standing (no derogatory marks, etc), a National Auto Loan Columbus Ohio steady stream of income, and a National Auto Loan Columbus Ohio valid form of ID. This field is // optional, if nil, the default dialer is used instead. Our automated topicmappr runs are configured to assume any broker list changes are repairs, which will result in all the holes 1010 left behind to be filled with the new broker ID (this is done using the count placement strategy combined with a feature called substitution affinity - see the Kafka-Kit wiki for details). The destination writes each record as a Kafka message to the specified topic. id) and can handle hundreds of thousands, or even millions, of messages per second. Brokers can be leaders or replicas to provide high-availability and fault tolerance. With NSQ, if one of our instances died it was a big problem. Moreover, in this Kafka Broker Tutorial, we will learn how to start Kafka Broker and Kafka command-line Option. Explain the meaning of broker in Kafka? Broker and server have the meaning in Kafka. Hi kafkalearners, This material is going to show you how to install multibroker kafka cluster. Apache Kafka Tutorial - Learn about Apache Kafka Consumer with Example Java Application working as a Kafka consumer. kafka_client_jaas_alice. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy. This results in a. Process streams of data. Apache Kafka is a distributed streaming platform. id same as AMI-LAUNCH-INDEX and start the service. In the previous chapter (Zookeeper & Kafka Install : Single node and single broker), we run Kafka and Zookeeper with single broker. Cloudera Support - Knowledge Base. That avoid potential corruption of the data (if a new node starts writing in the same dir that is not actually empty, who knows what can happen) and also with Kafka, the topics being assigned a broker. In this tutorial, you will install and use Apache Kafka 1. If you want one application to send messages to another as quickly as possible, you need ZeroMQ. I have kafka and spark streaming application running separately in 2 containers. KAFKA_BROKER_ID pins the identifier of the broker to its slot-id. Kubernetes also provides features for autoscaling, read more about auto scaling Kubernetes Pods should that be a requirement. By default, metrics-server and heapster act as core metrics backend. Each broker is uniquely identified by an ID. item_attr_info. 0 Producer Node: [[email protected] ~]#. ZK_SERVERS simply points Kafka to the Zookeeper service. If you manage Kafka yourself on Azure Virtual Machines, make sure that the advertised. The Kafka connection resource provides the connection details to communicate with a Kafka server Instance. Kafka consumer lag metrics. bat –bootstrap-server mylead. Red Hat AMQ Streams focuses on running Apache Kafka on Openshift providing a massively-scalable, distributed, and high performance data streaming platform. connect:2181″ to your custom IP and port. So, companies these days are looking for aspirants who know Kafka well and can use the right cases. To avoid conflicts between zookeeper generated broker id's and user configured broker id's, generated broker IDs start from reserved. It lightens the load by not maintaining any indexes that record what messages it has. Our automated topicmappr runs are configured to assume any broker list changes are repairs, which will result in all the holes 1010 left behind to be filled with the new broker ID (this is done using the count placement strategy combined with a feature called substitution affinity - see the Kafka-Kit wiki for details). The operator of this website is not a Personal Loan Market Nz lender, does Personal Loan Market Nz not broker loans to lenders and does make personal loans or credit decisions. To understand it better, let's quickly review the transactional client API. 0) writes the client id and secret to its config file when the user. Follow the instructions in Configure Kafka for IP advertising. The design pattern of Kafka is mainly based on the design of the transactional log. During this re-balance Kafka will assign available partitions to available threads, possibly moving a partition to another process. These are the directories in which the log data is stored. metadata_retries (int) How many times to retry a metadata request when a partition is in the middle of leader election. The tool can run on the broker itself or on any other machine, and it will check the health of the entire cluster. Let’s assume we have cluster of 3 instances, so we should book 3 EIPs with tag `kafka-brokers-demo` and. We can guarantee that two or more Kafka brokers persisted the message before moving on. id is a must have property and here it is an arbitrary value. /tmp/kafka-logs. Learn to join a stream and a table together using KSQL with full code examples. I have a Thorough Introduction on this as well. Long Story The broker id is a unique identifier per broker.