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| <p id="owner"><a href="../../../package.html" class="extype" name="io">io</a>.<a href="../../package.html" class="extype" name="io.gearpump">gearpump</a>.<a href="../package.html" class="extype" name="io.gearpump.streaming">streaming</a></p> |
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| <a href="DataSource.html"><span class="name">DataSource</span></a><span class="result"> extends <span class="extype" name="java.io.Serializable">Serializable</span></span> |
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| <p class="shortcomment cmt">interface to implement custom source where data is read into the system.</p><div class="fullcomment"><div class="comment cmt"><p>interface to implement custom source where data is read into the system. |
| a DataSource could be a message queue like kafka or simply data generation source.</p><p>an example would be like</p><pre>GenStringSource <span class="kw">extends</span> DataSource { |
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| <span class="kw">def</span> open(context: TaskContext, startTime: <span class="std">Option</span>[TimeStamp]): <span class="std">Unit</span> = {} |
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| <span class="kw">def</span> read(batchSize: <span class="std">Int</span>): <span class="std">List</span>[Message] = { |
| <span class="std">List</span>.fill(batchSize)(Message(<span class="lit">"message"</span>)) |
| } |
| |
| <span class="kw">def</span> close(): <span class="std">Unit</span> = {} |
| }</pre><p>subclass is required to be serializable |
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| <a href="DataSourceTask.html"><span class="name">DataSourceTask</span></a><span class="result"> extends <a href="../task/Task.html" class="extype" name="io.gearpump.streaming.task.Task">Task</a></span> |
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| <p class="shortcomment cmt">general task that runs any <a href="DataSource.html" class="extype" name="io.gearpump.streaming.source.DataSource">DataSource</a> |
| see <a href="DataSourceProcessor$.html" class="extype" name="io.gearpump.streaming.source.DataSourceProcessor">DataSourceProcessor</a> for its usage</p><div class="fullcomment"><div class="comment cmt"><p>general task that runs any <a href="DataSource.html" class="extype" name="io.gearpump.streaming.source.DataSource">DataSource</a> |
| see <a href="DataSourceProcessor$.html" class="extype" name="io.gearpump.streaming.source.DataSourceProcessor">DataSourceProcessor</a> for its usage</p><p>DataSourceTask calls</p><ul><li><code>DataSource.open</code> in <code>onStart</code> and pass in <a href="../task/TaskContext.html" class="extype" name="io.gearpump.streaming.task.TaskContext">io.gearpump.streaming.task.TaskContext</a> and application start time</li><li><code>DataSource.read</code> in each <code>onNext</code>, which reads a batch of messages whose size are defined by |
| <code>gearpump.source.read.batch.size</code>.</li><li><code>DataSource.close</code> in <code>onStop</code> |
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| <a href="DefaultTimeStampFilter.html"><span class="name">DefaultTimeStampFilter</span></a><span class="result"> extends <a href="../transaction/api/TimeStampFilter.html" class="extype" name="io.gearpump.streaming.transaction.api.TimeStampFilter">TimeStampFilter</a></span> |
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| <p class="shortcomment cmt">default TimeStampFilter that filters out messages with smaller timestamps |
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| <p class="shortcomment cmt">utility that helps user to create a DAG starting with <a href="DataSourceTask.html" class="extype" name="io.gearpump.streaming.source.DataSourceTask">DataSourceTask</a> |
| user should pass in a <a href="DataSource.html" class="extype" name="io.gearpump.streaming.source.DataSource">DataSource</a></p><div class="fullcomment"><div class="comment cmt"><p>utility that helps user to create a DAG starting with <a href="DataSourceTask.html" class="extype" name="io.gearpump.streaming.source.DataSourceTask">DataSourceTask</a> |
| user should pass in a <a href="DataSource.html" class="extype" name="io.gearpump.streaming.source.DataSource">DataSource</a></p><p>here is an example to build a DAG that reads from Kafka source followed by word count</p><pre><span class="kw">val</span> source = <span class="kw">new</span> KafkaSource() |
| <span class="kw">val</span> sourceProcessor = DataSourceProcessor(source, <span class="num">1</span>) |
| <span class="kw">val</span> split = Processor[Split](<span class="num">1</span>) |
| <span class="kw">val</span> sum = Processor[Sum](<span class="num">1</span>) |
| <span class="kw">val</span> dag = sourceProcessor ~> split ~> sum</pre></div></div> |
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