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FusionInsight HD 6.5.0 Administrator Guide 02

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Huawei uses machine translation combined with human proofreading to translate this document to different languages in order to help you better understand the content of this document. Note: Even the most advanced machine translation cannot match the quality of professional translators. Huawei shall not bear any responsibility for translation accuracy and it is recommended that you refer to the English document (a link for which has been provided).
Powering on the System

Powering on the System

Scenario

After system power-on during routine maintenance, start the server and FusionInsight cluster. If OMS is installed in active/standby mode, the active and standby management nodes are determined by HA after power-on.

Impact on the System

Before the system is powered on, the cluster is unavailable.

Procedure

  1. Power on the server.
  2. Use PuTTY to log in to the management node as user omm.
  3. Run the following command to start the OMS:

    sh ${BIGDATA_HOME}/om-server/om/sbin/start-oms.sh

    If the following information is displayed, the OMS is successfully started:

    Warning: HA monitor has been running already.
    start HA successfully.

  4. Use PuTTY to log in to the other management node as user omm.
  5. Run the following command to start the OMS:

    sh ${BIGDATA_HOME}/om-server/om/sbin/start-oms.sh

    If the following information is displayed, the OMS is successfully started:

    Warning: HA monitor has been running already.
    start HA successfully.

  6. In the address box of your browser, enter the FusionInsight Manager network address. The page can be displayed properly after the OMS automatically starts.
  7. Log in to FusionInsight Manager, click Start on Homepage.

    In the displayed dialog box, click OK to start the cluster. Operation succeeded is displayed. Click Finish. The service starts successfully.

  8. Start upper-layer services that depend on the FusionInsight HD cluster.

    For example, start applications whose data is stored to HDFS or start applications whose messages are stored to Kafka.

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Updated: 2019-05-17

Document ID: EDOC1100074522

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