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https://issues.apache.org/jira/browse/BAHIR-39?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15406507#comment-15406507
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ASF GitHub Bot commented on BAHIR-39:
-------------------------------------

Github user lresende commented on a diff in the pull request:

    https://github.com/apache/bahir/pull/13#discussion_r73407125
  
    --- Diff: 
sql-streaming-mqtt/src/main/scala/org/apache/bahir/utils/Logging.scala ---
    @@ -0,0 +1,25 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.bahir.utils
    +
    +import org.slf4j.LoggerFactory
    +
    +
    +trait Logging {
    --- End diff --
    
    Do we need our own definition of Logging ? Or is ok for us to use the one 
on Spark (which is what the other extensions are using)...


> MQTT as a streaming source for SQL Streaming.
> ---------------------------------------------
>
>                 Key: BAHIR-39
>                 URL: https://issues.apache.org/jira/browse/BAHIR-39
>             Project: Bahir
>          Issue Type: New Feature
>          Components: Spark SQL Data Sources
>    Affects Versions: 2.1.0
>            Reporter: Prashant Sharma
>
> MQTT compatible streaming source for Spark SQL Streaming.



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