EMA error after running for 2 hours (Error text SocketChannel.read returned -1 (end-of-stream))

steve.lau
steve.lau Newcomer
in Elektron

error.txt

I subscribed few hundreds RIC (stock + options) for MARKET_PRICE & MARKET_BY_PRICE.

Running fine and after an hour or 2, it stopped with following message from log.

Using EMA Java 1.2.1 on windows 7.

Oct 23, 2018 10:39:18 AM com.thomsonreuters.ema.access.ChannelCallbackClient reactorChannelEventCallback
WARNING: loggerMsg
ClientName: ChannelCallbackClient
Severity: Warning
Text: Received ChannelDownReconnecting event on channel Channel_2
RsslReactor @7744ad0d
RsslChannel @2bb02195
Error Id 0
Internal sysError 0
Error Location null
Error text SocketChannel.read returned -1 (end-of-stream)
loggerMsgEnd
Oct 23, 2018 10:39:23 AM com.thomsonreuters.ema.access.ChannelCallbackClient reactorChannelEventCallback
INFO: loggerMsg
ClientName: ChannelCallbackClient
Severity: Info
Text: Received ChannelUp event on channel Channel_1
Instance Name Consumer_2_1
Component Version ads3.2.2.L1.linux.tis.rrg 64-bit
loggerMsgEnd
Oct 23, 2018 10:39:38 AM com.thomsonreuters.ema.access.LoginCallbackClient rdmLoginMsgCallback
WARNING: loggerMsg
ClientName: LoginCallbackClient
Severity: Warning
Text: RDMLogin stream state was changed to suspect with status message
username <not set>
usernameType <not set>

State: Open/Suspect/None - text: ""
loggerMsgEnd

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Best Answer

  • veerapath.rungruengrayubkul
    veerapath.rungruengrayubkul LSEG
    Answer ✓

    The “SocketChannel.read returned -1 (end-of-stream)”
    indicates a failure condition, often that the connection is no longer
    available. Typically, the disconnection is from the server side.

    Server log indicates that the disconnections were due to buffer overflow condition on server side. The Buffer Overflow condition generally occurs once
    Consumer application cannot keep up with the amount of data that it received, so server needs to store data in its outbound buffer and disconnect the
    Consumer client once the buffer exceeds limitation.

    To avoid this slow consumer condition, you should first minimize
    the time for processing incoming data in the callback methods i.e.
    onRefreshMsg(..) and onUpdateMsg(..). Avoid accessing to database and/or other
    blocking calls which typically consume significant time. The application can
    also create an separated thread for data processing. For example, once the
    application processes incoming events in the callback methods, it decodes data
    and put it to an internal queue. The new thread then get data from the queue
    and process it.

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