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docs/consuming-any-data.adoc

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Consuming Arbitrary Topic
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=========================
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This document guides you how to consume and process topics containing records not consists of Decaton's protocol (not produced by DecatonClient) using Decaton processors.

docs/dynamic-property-configuration.adoc

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Dynamic Property Configuration
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=============================
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== Property Supplier

docs/getting-started.adoc

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Getting Started Decaton
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=======================
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Let's start from the most basic usage of Decaton client/processor.

docs/key-blocking.adoc

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= Key Blocking
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== Introduction

docs/monitoring.adoc

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Monitoring Decaton
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==================
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This document guides you how to monitor your Decaton processor applications.

docs/rate-limiting.adoc

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= Rate Limiting
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== Introduction
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Note that the actual processing rate may not reach the given value if a task takes over a second to process or the value is greater than actual throughput per second.
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|===
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=== Example
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=== Example
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Just like other properties, you can set it through `SubscriptionBuilder#properties`, as shown in the following example:
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[source,java]

docs/retry-queueing.adoc

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= Retry Queuing
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== Introduction
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.RetryingProcessorAsync.java
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public class RetryingProcessorAsync implements DecatonProcessor<PrintMessageTask> {
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@Override
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public void process(ProcessingContext<PrintMessageTask> context, PrintMessageTask task)
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throws InterruptedException {
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}
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}
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----
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<1> You still need to call `#complete` when the asynchronous job finishes normally.
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<1> You still need to call `#complete` when the asynchronous job finishes normally.
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<2> If you call `ProcessingContext#retry` then you don't need to call it explicitly.
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== Implementation

docs/task-compaction.adoc

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= Task Compaction
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== Introduction
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2. Add `CompactionProcessor` to the head of your processor pipeline.
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=== CompactionProcessor
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`CompactionProcessor` can be seen as a selector that decides whether a task should be kept or compacted. `CompactionProcessor` constructor takes two
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`CompactionProcessor` can be seen as a selector that decides whether a task should be kept or compacted. `CompactionProcessor` constructor takes two
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arguments:
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private static CompactionProcessor<LocationEvent> createCompactionProcessor() {
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return new CompactionProcessor<>(1000L, (left, right) -> { // <3>
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if (left.task().getTimestamp() == right.task().getTimestamp()) { // <4>
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return CompactChoice.PICK_EITHER;
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return CompactChoice.PICK_EITHER;
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} else if (left.task().getTimestamp() > right.task().getTimestamp()) {
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return CompactChoice.PICK_LEFT; // <5>
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} else {
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return CompactChoice.PICK_RIGHT; // <6>
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return CompactChoice.PICK_RIGHT; // <6>
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}
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});
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docs/tracing.adoc

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= Tracing
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Decaton can integrate with distributed tracing frameworks so that you can associate the processing of a message
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.enableTracing(
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...
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docs/why-decaton.adoc

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Why Decaton
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===========
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This document explains why we have decided to create a new consumer framework.

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