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Connettore s3 confluente

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Amazon S3 Sink Connector esporta i dati dagli argomenti di Apache Kafka in oggetti S3 nei formati Avro, JSON o Bytes. Amazon S3 sink Connector esegue periodicamente il polling dei dati da Kafka e a sua volta li carica in S3. Un partitioner viene utilizzato per suddividere i dati di ogni partizione Kafka in blocchi. Ogni blocco di dati viene rappresentato come un oggetto S3. Il nome della chiave codifica l'argomento, la partizione Kafka e l'offset iniziale di questo blocco di dati.

In questa configurazione, viene illustrato come leggere e scrivere argomenti nello storage a oggetti da Kafka direttamente utilizzando il connettore del sink Kafka s3. Per questo test, abbiamo utilizzato un cluster Confluent autonomo, ma questa configurazione è applicabile a un cluster distribuito.

  1. Scarica Confluent Kafka dal sito Web di Confluent.

  2. Disimballare il pacchetto in una cartella sul server.

  3. Esportare due variabili.

    Export CONFLUENT_HOME=/data/confluent/confluent-6.2.0
    export PATH=$PATH:/data/confluent/confluent-6.2.0/bin
  4. Per un'installazione autonoma di Confluent Kafka, il cluster crea una cartella root temporanea in /tmp. Inoltre, crea Zoosekeeper, Kafka, un registro dello schema, Connect, un server ksql, e control center da cui copiare i rispettivi file di configurazione $CONFLUENT_HOME. Vedere il seguente esempio:

    root@stlrx2540m1-108:~# ls -ltr /tmp/confluent.406980/
    total 28
    drwxr-xr-x 4 root root 4096 Oct 29 19:01 zookeeper
    drwxr-xr-x 4 root root 4096 Oct 29 19:37 kafka
    drwxr-xr-x 4 root root 4096 Oct 29 19:40 schema-registry
    drwxr-xr-x 4 root root 4096 Oct 29 19:45 kafka-rest
    drwxr-xr-x 4 root root 4096 Oct 29 19:47 connect
    drwxr-xr-x 4 root root 4096 Oct 29 19:48 ksql-server
    drwxr-xr-x 4 root root 4096 Oct 29 19:53 control-center
    root@stlrx2540m1-108:~#
  5. Configurare Zoosekeeper. Non è necessario modificare nulla se si utilizzano i parametri predefiniti.

    root@stlrx2540m1-108:~# cat  /tmp/confluent.406980/zookeeper/zookeeper.properties  | grep -iv ^#
    dataDir=/tmp/confluent.406980/zookeeper/data
    clientPort=2181
    maxClientCnxns=0
    admin.enableServer=false
    tickTime=2000
    initLimit=5
    syncLimit=2
    server.179=controlcenter:2888:3888
    root@stlrx2540m1-108:~#

    Nella configurazione precedente, è stato aggiornato il server. xxx proprietà. Per impostazione predefinita, sono necessari tre Zooseeper per la selezione dei leader Kafka.

  6. Abbiamo creato un file myid in /tmp/confluent.406980/zookeeper/data Con un ID univoco:

    root@stlrx2540m1-108:~# cat /tmp/confluent.406980/zookeeper/data/myid
    179
    root@stlrx2540m1-108:~#

    Abbiamo utilizzato l'ultimo numero di indirizzi IP per il file myid. Abbiamo utilizzato i valori predefiniti per Kafka, CONNECT, Control-Center, Kafka, Kafka-REST, configurazioni del server ksql e del registro di sistema dello schema.

  7. Avviare i servizi Kafka.

    root@stlrx2540m1-108:/data/confluent/confluent-6.2.0/bin# confluent local services  start
    The local commands are intended for a single-node development environment only,
    NOT for production usage.
     
    Using CONFLUENT_CURRENT: /tmp/confluent.406980
    ZooKeeper is [UP]
    Kafka is [UP]
    Schema Registry is [UP]
    Kafka REST is [UP]
    Connect is [UP]
    ksqlDB Server is [UP]
    Control Center is [UP]
    root@stlrx2540m1-108:/data/confluent/confluent-6.2.0/bin#

    Per ciascuna configurazione è disponibile una cartella di log che consente di risolvere i problemi. In alcuni casi, l'avvio dei servizi richiede più tempo. Assicurarsi che tutti i servizi siano attivi e in esecuzione.

  8. Installare Kafka Connect utilizzando confluent-hub.

    root@stlrx2540m1-108:/data/confluent/confluent-6.2.0/bin# ./confluent-hub install confluentinc/kafka-connect-s3:latest
    The component can be installed in any of the following Confluent Platform installations:
      1. /data/confluent/confluent-6.2.0 (based on $CONFLUENT_HOME)
      2. /data/confluent/confluent-6.2.0 (where this tool is installed)
    Choose one of these to continue the installation (1-2): 1
    Do you want to install this into /data/confluent/confluent-6.2.0/share/confluent-hub-components? (yN) y
    
    Component's license:
    Confluent Community License
    http://www.confluent.io/confluent-community-license
    I agree to the software license agreement (yN) y
    Downloading component Kafka Connect S3 10.0.3, provided by Confluent, Inc. from Confluent Hub and installing into /data/confluent/confluent-6.2.0/share/confluent-hub-components
    Do you want to uninstall existing version 10.0.3? (yN) y
    Detected Worker's configs:
      1. Standard: /data/confluent/confluent-6.2.0/etc/kafka/connect-distributed.properties
      2. Standard: /data/confluent/confluent-6.2.0/etc/kafka/connect-standalone.properties
      3. Standard: /data/confluent/confluent-6.2.0/etc/schema-registry/connect-avro-distributed.properties
      4. Standard: /data/confluent/confluent-6.2.0/etc/schema-registry/connect-avro-standalone.properties
      5. Based on CONFLUENT_CURRENT: /tmp/confluent.406980/connect/connect.properties
      6. Used by Connect process with PID 15904: /tmp/confluent.406980/connect/connect.properties
    Do you want to update all detected configs? (yN) y
    Adding installation directory to plugin path in the following files:
      /data/confluent/confluent-6.2.0/etc/kafka/connect-distributed.properties
      /data/confluent/confluent-6.2.0/etc/kafka/connect-standalone.properties
      /data/confluent/confluent-6.2.0/etc/schema-registry/connect-avro-distributed.properties
      /data/confluent/confluent-6.2.0/etc/schema-registry/connect-avro-standalone.properties
      /tmp/confluent.406980/connect/connect.properties
      /tmp/confluent.406980/connect/connect.properties
    
    Completed
    root@stlrx2540m1-108:/data/confluent/confluent-6.2.0/bin#

    È inoltre possibile installare una versione specifica utilizzando confluent-hub install confluentinc/kafka-connect-s3:10.0.3.

  9. Per impostazione predefinita, confluentinc-kafka-connect-s3 è installato in /data/confluent/confluent-6.2.0/share/confluent-hub-components/confluentinc-kafka-connect-s3.

  10. Aggiornare il percorso del plug-in con il nuovo confluentinc-kafka-connect-s3.

    root@stlrx2540m1-108:~# cat /data/confluent/confluent-6.2.0/etc/kafka/connect-distributed.properties | grep plugin.path
    # plugin.path=/usr/local/share/java,/usr/local/share/kafka/plugins,/opt/connectors,
    plugin.path=/usr/share/java,/data/zookeeper/confluent/confluent-6.2.0/share/confluent-hub-components,/data/confluent/confluent-6.2.0/share/confluent-hub-components,/data/confluent/confluent-6.2.0/share/confluent-hub-components/confluentinc-kafka-connect-s3
    root@stlrx2540m1-108:~#
  11. Arrestare e riavviare i servizi confluenti.

    confluent local services  stop
    confluent local services  start
    root@stlrx2540m1-108:/data/confluent/confluent-6.2.0/bin# confluent local services  status
    The local commands are intended for a single-node development environment only,
    NOT for production usage.
     
    Using CONFLUENT_CURRENT: /tmp/confluent.406980
    Connect is [UP]
    Control Center is [UP]
    Kafka is [UP]
    Kafka REST is [UP]
    ksqlDB Server is [UP]
    Schema Registry is [UP]
    ZooKeeper is [UP]
    root@stlrx2540m1-108:/data/confluent/confluent-6.2.0/bin#
  12. Configurare l'ID di accesso e la chiave segreta in /root/.aws/credentials file.

    root@stlrx2540m1-108:~# cat /root/.aws/credentials
    [default]
    aws_access_key_id = xxxxxxxxxxxx
    aws_secret_access_key = xxxxxxxxxxxxxxxxxxxxxxxxxx
    root@stlrx2540m1-108:~#
  13. Verificare che il bucket sia raggiungibile.

    root@stlrx2540m4-01:~# aws s3 –endpoint-url http://kafkasgd.rtpppe.netapp.com:10444 ls kafkasgdbucket1-2
    2021-10-29 21:04:18       1388 1
    2021-10-29 21:04:20       1388 2
    2021-10-29 21:04:22       1388 3
    root@stlrx2540m4-01:~#
  14. Configurare il file di proprietà s3-sink per la configurazione s3 e bucket.

    root@stlrx2540m1-108:~# cat /data/confluent/confluent-6.2.0/share/confluent-hub-components/confluentinc-kafka-connect-s3/etc/quickstart-s3.properties | grep -v ^#
    name=s3-sink
    connector.class=io.confluent.connect.s3.S3SinkConnector
    tasks.max=1
    topics=s3_testtopic
    s3.region=us-west-2
    s3.bucket.name=kafkasgdbucket1-2
    store.url=http://kafkasgd.rtpppe.netapp.com:10444/
    s3.part.size=5242880
    flush.size=3
    storage.class=io.confluent.connect.s3.storage.S3Storage
    format.class=io.confluent.connect.s3.format.avro.AvroFormat
    partitioner.class=io.confluent.connect.storage.partitioner.DefaultPartitioner
    schema.compatibility=NONE
    root@stlrx2540m1-108:~#
  15. Importare alcuni record nel bucket s3.

    kafka-avro-console-producer --broker-list localhost:9092 --topic s3_topic \
    --property value.schema='{"type":"record","name":"myrecord","fields":[{"name":"f1","type":"string"}]}'
    {"f1": "value1"}
    {"f1": "value2"}
    {"f1": "value3"}
    {"f1": "value4"}
    {"f1": "value5"}
    {"f1": "value6"}
    {"f1": "value7"}
    {"f1": "value8"}
    {"f1": "value9"}
  16. Caricare il connettore s3-sink.

    root@stlrx2540m1-108:~# confluent local services connect connector load s3-sink  --config /data/confluent/confluent-6.2.0/share/confluent-hub-components/confluentinc-kafka-connect-s3/etc/quickstart-s3.properties
    The local commands are intended for a single-node development environment only,
    NOT for production usage. https://docs.confluent.io/current/cli/index.html
    {
      "name": "s3-sink",
      "config": {
        "connector.class": "io.confluent.connect.s3.S3SinkConnector",
        "flush.size": "3",
        "format.class": "io.confluent.connect.s3.format.avro.AvroFormat",
        "partitioner.class": "io.confluent.connect.storage.partitioner.DefaultPartitioner",
        "s3.bucket.name": "kafkasgdbucket1-2",
        "s3.part.size": "5242880",
        "s3.region": "us-west-2",
        "schema.compatibility": "NONE",
        "storage.class": "io.confluent.connect.s3.storage.S3Storage",
        "store.url": "http://kafkasgd.rtpppe.netapp.com:10444/",
        "tasks.max": "1",
        "topics": "s3_testtopic",
        "name": "s3-sink"
      },
      "tasks": [],
      "type": "sink"
    }
    root@stlrx2540m1-108:~#
  17. Controllare lo stato del sink s3.

    root@stlrx2540m1-108:~# confluent local services connect connector status s3-sink
    The local commands are intended for a single-node development environment only,
    NOT for production usage. https://docs.confluent.io/current/cli/index.html
    {
      "name": "s3-sink",
      "connector": {
        "state": "RUNNING",
        "worker_id": "10.63.150.185:8083"
      },
      "tasks": [
        {
          "id": 0,
          "state": "RUNNING",
          "worker_id": "10.63.150.185:8083"
        }
      ],
      "type": "sink"
    }
    root@stlrx2540m1-108:~#
  18. Controllare il registro per assicurarsi che s3-sink sia pronto ad accettare gli argomenti.

    root@stlrx2540m1-108:~# confluent local services connect log
  19. Consulta gli argomenti di Kafka.

    kafka-topics --list --bootstrap-server localhost:9092
    …
    connect-configs
    connect-offsets
    connect-statuses
    default_ksql_processing_log
    s3_testtopic
    s3_topic
    s3_topic_new
    root@stlrx2540m1-108:~#
  20. Controllare gli oggetti nel bucket s3.

    root@stlrx2540m1-108:~# aws s3 --endpoint-url http://kafkasgd.rtpppe.netapp.com:10444 ls --recursive kafkasgdbucket1-2/topics/
    2021-10-29 21:24:00        213 topics/s3_testtopic/partition=0/s3_testtopic+0+0000000000.avro
    2021-10-29 21:24:00        213 topics/s3_testtopic/partition=0/s3_testtopic+0+0000000003.avro
    2021-10-29 21:24:00        213 topics/s3_testtopic/partition=0/s3_testtopic+0+0000000006.avro
    2021-10-29 21:24:08        213 topics/s3_testtopic/partition=0/s3_testtopic+0+0000000009.avro
    2021-10-29 21:24:08        213 topics/s3_testtopic/partition=0/s3_testtopic+0+0000000012.avro
    2021-10-29 21:24:09        213 topics/s3_testtopic/partition=0/s3_testtopic+0+0000000015.avro
    root@stlrx2540m1-108:~#
  21. Per verificare il contenuto, copiare ciascun file da S3 al file system locale eseguendo il seguente comando:

    root@stlrx2540m1-108:~# aws s3 --endpoint-url http://kafkasgd.rtpppe.netapp.com:10444 cp s3://kafkasgdbucket1-2/topics/s3_testtopic/partition=0/s3_testtopic+0+0000000000.avro  tes.avro
    download: s3://kafkasgdbucket1-2/topics/s3_testtopic/partition=0/s3_testtopic+0+0000000000.avro to ./tes.avro
    root@stlrx2540m1-108:~#
  22. Per stampare i record, utilizzare avro-tools-1.11.0.1.jar (disponibile in "Archivi Apache").

    root@stlrx2540m1-108:~# java -jar /usr/src/avro-tools-1.11.0.1.jar tojson tes.avro
    21/10/30 00:20:24 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
    {"f1":"value1"}
    {"f1":"value2"}
    {"f1":"value3"}
    root@stlrx2540m1-108:~#