This is an automated email from the ASF dual-hosted git repository.
guozhang pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/kafka-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new a28d75e MINOR: fix broken links of javadocs in Streams developer guide
a28d75e is described below
commit a28d75ec02acf23cc62804001a4cc11ca80b5809
Author: slim <[email protected]>
AuthorDate: Thu Feb 8 00:17:30 2018 +0300
MINOR: fix broken links of javadocs in Streams developer guide
---
10/streams/developer-guide/dsl-api.html | 108 ++++++++++++++++----------------
1 file changed, 54 insertions(+), 54 deletions(-)
diff --git a/10/streams/developer-guide/dsl-api.html
b/10/streams/developer-guide/dsl-api.html
index b81da39..f7d8ccb 100644
--- a/10/streams/developer-guide/dsl-api.html
+++ b/10/streams/developer-guide/dsl-api.html
@@ -119,7 +119,7 @@
<td><p class="first">Creates a <a class="reference
internal" href="../concepts.html#streams-concepts-kstream"><span class="std
std-ref">KStream</span></a> from the specified Kafka input topics and
interprets the data
as a <a class="reference internal"
href="../concepts.html#streams-concepts-kstream"><span class="std
std-ref">record stream</span></a>.
A <code class="docutils literal"><span
class="pre">KStream</span></code> represents a <em>partitioned</em> record
stream.
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/StreamsBuilder.html#stream(java.lang.String)">(details)</a></p>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/StreamsBuilder.html#stream(java.lang.String)">(details)</a></p>
<p>In the case of a KStream, the local KStream
instance of every application instance will
be populated with data from only <strong>a
subset</strong> of the partitions of the input topic. Collectively, across
all application instances, all input topic
partitions are read and processed.</p>
@@ -153,7 +153,7 @@
<td><p class="first">Reads the specified Kafka input topic
into a <a class="reference internal"
href="../concepts.html#streams-concepts-ktable"><span class="std
std-ref">KTable</span></a>. The topic is
interpreted as a changelog stream, where records with
the same key are interpreted as UPSERT aka INSERT/UPDATE
(when the record value is not <code class="docutils
literal"><span class="pre">null</span></code>) or as DELETE (when the value is
<code class="docutils literal"><span class="pre">null</span></code>) for that
key.
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/StreamsBuilder.html#table-java.lang.String(java.lang.String)">(details)</a></p>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/StreamsBuilder.html#table-java.lang.String(java.lang.String)">(details)</a></p>
<p>In the case of a KStream, the local KStream
instance of every application instance will
be populated with data from only <strong>a
subset</strong> of the partitions of the input topic. Collectively, across
all application instances, all input topic
partitions are read and processed.</p>
@@ -178,7 +178,7 @@
<td><p class="first">Reads the specified Kafka input topic
into a <a class="reference internal"
href="../concepts.html#streams-concepts-globalktable"><span class="std
std-ref">GlobalKTable</span></a>. The topic is
interpreted as a changelog stream, where records with
the same key are interpreted as UPSERT aka INSERT/UPDATE
(when the record value is not <code class="docutils
literal"><span class="pre">null</span></code>) or as DELETE (when the value is
<code class="docutils literal"><span class="pre">null</span></code>) for that
key.
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/StreamsBuilder.html#globalTable-java.lang.String(java.lang.String)">(details)</a></p>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/StreamsBuilder.html#globalTable-java.lang.String(java.lang.String)">(details)</a></p>
<p>In the case of a GlobalKTable, the local
GlobalKTable instance of every application instance will
be populated with data from only <strong>a
subset</strong> of the partitions of the input topic. Collectively, across
all application instances, all input topic
partitions are read and processed.</p>
@@ -250,7 +250,7 @@
</ul>
</td>
<td><p class="first">Branch (or split) a <code
class="docutils literal"><span class="pre">KStream</span></code> based on the
supplied predicates into one or more <code class="docutils literal"><span
class="pre">KStream</span></code> instances.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#branch-org.apache.kafka.streams.kstream.Predicate...-">details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#branch-org.apache.kafka.streams.kstream.Predicate...-">details</a>)</p>
<p>Predicates are evaluated in order. A record is
placed to one and only one output stream on the first match:
if the n-th predicate evaluates to true, the
record is placed to n-th stream. If no predicate matches, the
the record is dropped.</p>
@@ -278,8 +278,8 @@
</ul>
</td>
<td><p class="first">Evaluates a boolean function for
each element and retains those for which the function returns true.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#filter-org.apache.kafka.streams.kstream.Predicate-">KStream
details</a>,
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KTable.html#filter-org.apache.kafka.streams.kstream.Predicate-">KTable
details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#filter-org.apache.kafka.streams.kstream.Predicate-">KStream
details</a>,
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KTable.html#filter-org.apache.kafka.streams.kstream.Predicate-">KTable
details</a>)</p>
<div class="last highlight-java"><div
class="highlight"><pre><span></span><span class="n">KStream</span><span
class="o"><</span><span class="n">String</span><span class="o">,</span>
<span class="n">Long</span><span class="o">></span> <span
class="n">stream</span> <span class="o">=</span> <span class="o">...;</span>
<span class="c1">// A filter that selects (keeps) only positive numbers</span>
@@ -305,8 +305,8 @@
</ul>
</td>
<td><p class="first">Evaluates a boolean function for
each element and drops those for which the function returns true.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#filterNot-org.apache.kafka.streams.kstream.Predicate-">KStream
details</a>,
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KTable.html#filterNot-org.apache.kafka.streams.kstream.Predicate-">KTable
details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#filterNot-org.apache.kafka.streams.kstream.Predicate-">KStream
details</a>,
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KTable.html#filterNot-org.apache.kafka.streams.kstream.Predicate-">KTable
details</a>)</p>
<div class="last highlight-java"><div
class="highlight"><pre><span></span><span class="n">KStream</span><span
class="o"><</span><span class="n">String</span><span class="o">,</span>
<span class="n">Long</span><span class="o">></span> <span
class="n">stream</span> <span class="o">=</span> <span class="o">...;</span>
<span class="c1">// An inverse filter that discards any negative numbers or
zero</span>
@@ -332,7 +332,7 @@
</td>
<td><p class="first">Takes one record and produces
zero, one, or more records. You can modify the record keys and values,
including
their types.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#flatMap-org.apache.kafka.streams.kstream.KeyValueMapper-">details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#flatMap-org.apache.kafka.streams.kstream.KeyValueMapper-">details</a>)</p>
<p><strong>Marks the stream for data
re-partitioning:</strong>
Applying a grouping or a join after <code
class="docutils literal"><span class="pre">flatMap</span></code> will result in
re-partitioning of the records.
If possible use <code class="docutils
literal"><span class="pre">flatMapValues</span></code> instead, which will not
cause data re-partitioning.</p>
@@ -361,7 +361,7 @@
</td>
<td><p class="first">Takes one record and produces
zero, one, or more records, while retaining the key of the original record.
You can modify the record values and the value
type.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#flatMapValues-org.apache.kafka.streams.kstream.ValueMapper-">details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#flatMapValues-org.apache.kafka.streams.kstream.ValueMapper-">details</a>)</p>
<p><code class="docutils literal"><span
class="pre">flatMapValues</span></code> is preferable to <code class="docutils
literal"><span class="pre">flatMap</span></code> because it will not cause data
re-partitioning. However, you
cannot modify the key or key type like <code
class="docutils literal"><span class="pre">flatMap</span></code> does.</p>
<div class="last highlight-java"><div
class="highlight"><pre><span></span><span class="c1">// Split a sentence into
words.</span>
@@ -381,7 +381,7 @@
</ul>
</td>
<td><p class="first"><strong>Terminal
operation.</strong> Performs a stateless action on each record.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#foreach-org.apache.kafka.streams.kstream.ForeachAction-">details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#foreach-org.apache.kafka.streams.kstream.ForeachAction-">details</a>)</p>
<p>You would use <code class="docutils
literal"><span class="pre">foreach</span></code> to cause <em>side effects</em>
based on the input data (similar to <code class="docutils literal"><span
class="pre">peek</span></code>) and then <em>stop</em>
<em>further processing</em> of the input data
(unlike <code class="docutils literal"><span class="pre">peek</span></code>,
which is not a terminal operation).</p>
<p><strong>Note on processing guarantees:</strong>
Any side effects of an action (such as writing to external systems) are not
@@ -410,7 +410,7 @@
</ul>
</td>
<td><p class="first">Groups the records by the
existing key.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#groupByKey--">details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#groupByKey--">details</a>)</p>
<p>Grouping is a prerequisite for <a
class="reference internal"
href="#streams-developer-guide-dsl-aggregating"><span class="std
std-ref">aggregating a stream or a table</span></a>
and ensures that data is properly partitioned
(“keyed”) for subsequent operations.</p>
<p><strong>When to set explicit SerDes:</strong>
@@ -455,8 +455,8 @@
<td><p class="first">Groups the records by a
<em>new</em> key, which may be of a different key type.
When grouping a table, you may also specify a new
value and value type.
<code class="docutils literal"><span
class="pre">groupBy</span></code> is a shorthand for <code class="docutils
literal"><span class="pre">selectKey(...).groupByKey()</span></code>.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#groupBy-org.apache.kafka.streams.kstream.KeyValueMapper-">KStream
details</a>,
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KTable.html#groupBy-org.apache.kafka.streams.kstream.KeyValueMapper-">KTable
details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#groupBy-org.apache.kafka.streams.kstream.KeyValueMapper-">KStream
details</a>,
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KTable.html#groupBy-org.apache.kafka.streams.kstream.KeyValueMapper-">KTable
details</a>)</p>
<p>Grouping is a prerequisite for <a
class="reference internal"
href="#streams-developer-guide-dsl-aggregating"><span class="std
std-ref">aggregating a stream or a table</span></a>
and ensures that data is properly partitioned
(“keyed”) for subsequent operations.</p>
<p><strong>When to set explicit SerDes:</strong>
@@ -532,7 +532,7 @@
</ul>
</td>
<td><p class="first">Takes one record and produces one
record. You can modify the record key and value, including their types.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#map-org.apache.kafka.streams.kstream.KeyValueMapper-">details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#map-org.apache.kafka.streams.kstream.KeyValueMapper-">details</a>)</p>
<p><strong>Marks the stream for data
re-partitioning:</strong>
Applying a grouping or a join after <code
class="docutils literal"><span class="pre">map</span></code> will result in
re-partitioning of the records.
If possible use <code class="docutils
literal"><span class="pre">mapValues</span></code> instead, which will not
cause data re-partitioning.</p>
@@ -564,8 +564,8 @@
</td>
<td><p class="first">Takes one record and produces one
record, while retaining the key of the original record.
You can modify the record value and the value type.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#mapValues-org.apache.kafka.streams.kstream.ValueMapper-">KStream
details</a>,
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KTable.html#mapValues-org.apache.kafka.streams.kstream.ValueMapper-">KTable
details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#mapValues-org.apache.kafka.streams.kstream.ValueMapper-">KStream
details</a>,
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KTable.html#mapValues-org.apache.kafka.streams.kstream.ValueMapper-">KTable
details</a>)</p>
<p><code class="docutils literal"><span
class="pre">mapValues</span></code> is preferable to <code class="docutils
literal"><span class="pre">map</span></code> because it will not cause data
re-partitioning. However, it does not
allow you to modify the key or key type like
<code class="docutils literal"><span class="pre">map</span></code> does.</p>
<div class="last highlight-java"><div
class="highlight"><pre><span></span><span class="n">KStream</span><span
class="o"><</span><span class="kt">byte</span><span class="o">[],</span>
<span class="n">String</span><span class="o">></span> <span
class="n">stream</span> <span class="o">=</span> <span class="o">...;</span>
@@ -591,7 +591,7 @@
</ul>
</td>
<td><p class="first">Performs a stateless action on
each record, and returns an unchanged stream.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#peek-org.apache.kafka.streams.kstream.ForeachAction-">details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#peek-org.apache.kafka.streams.kstream.ForeachAction-">details</a>)</p>
<p>You would use <code class="docutils
literal"><span class="pre">peek</span></code> to cause <em>side effects</em>
based on the input data (similar to <code class="docutils literal"><span
class="pre">foreach</span></code>) and <em>continue</em>
<em>processing</em> the input data (unlike
<code class="docutils literal"><span class="pre">foreach</span></code>, which
is a terminal operation). <code class="docutils literal"><span
class="pre">peek</span></code> returns the input
stream as-is; if you need to modify the input
stream, use <code class="docutils literal"><span class="pre">map</span></code>
or <code class="docutils literal"><span class="pre">mapValues</span></code>
instead.</p>
@@ -623,7 +623,7 @@
</td>
<td><p class="first"><strong>Terminal
operation.</strong> Prints the records to <code class="docutils literal"><span
class="pre">System.out</span></code>. See Javadocs for serde and <code
class="docutils literal"><span class="pre">toString()</span></code>
caveats.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#print--">details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#print--">details</a>)</p>
<p>Calling <code class="docutils literal"><span
class="pre">print()</span></code> is the same as calling <code class="docutils
literal"><span class="pre">foreach((key,</span> <span class="pre">value)</span>
<span class="pre">-></span> <span class="pre">System.out.println(key</span>
<span class="pre">+</span> <span class="pre">",</span> <span
class="pre">"</span> <span class="pre">+</span> <span
class="pre">value))</span></code></p>
<div class="last highlight-java"><div
class="highlight"><pre><span></span><span class="n">KStream</span><span
class="o"><</span><span class="kt">byte</span><span class="o">[],</span>
<span class="n">String</span><span class="o">></span> <span
class="n">stream</span> <span class="o">=</span> <span class="o">...;</span>
<span class="c1">// print to sysout</span>
@@ -641,7 +641,7 @@
</ul>
</td>
<td><p class="first">Assigns a new key –
possibly of a new key type – to each record.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#selectKey-org.apache.kafka.streams.kstream.KeyValueMapper-">details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#selectKey-org.apache.kafka.streams.kstream.KeyValueMapper-">details</a>)</p>
<p>Calling <code class="docutils literal"><span
class="pre">selectKey(mapper)</span></code> is the same as calling <code
class="docutils literal"><span class="pre">map((key,</span> <span
class="pre">value)</span> <span class="pre">-></span> <span
class="pre">mapper(key,</span> <span class="pre">value),</span> <span
class="pre">value)</span></code>.</p>
<p><strong>Marks the stream for data
re-partitioning:</strong>
Applying a grouping or a join after <code
class="docutils literal"><span class="pre">selectKey</span></code> will result
in re-partitioning of the records.</p>
@@ -669,7 +669,7 @@
</ul>
</td>
<td><p class="first">Get the changelog stream of this
table.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KTable.html#toStream--">details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KTable.html#toStream--">details</a>)</p>
<div class="last highlight-java"><div
class="highlight"><pre><span></span><span class="n">KTable</span><span
class="o"><</span><span class="kt">byte</span><span class="o">[],</span>
<span class="n">String</span><span class="o">></span> <span
class="n">table</span> <span class="o">=</span> <span class="o">...;</span>
<span class="c1">// Also, a variant of `toStream` exists that allows you</span>
@@ -773,8 +773,8 @@
<td><p class="first"><strong>Rolling
aggregation.</strong> Aggregates the values of (non-windowed) records by the
grouped key.
Aggregating is a generalization of <code
class="docutils literal"><span class="pre">reduce</span></code> and allows, for
example, the aggregate value to have a different
type than the input values.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KGroupedStream.html">KGroupedStream
details</a>,
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KGroupedTable.html">KGroupedTable
details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KGroupedStream.html">KGroupedStream
details</a>,
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KGroupedTable.html">KGroupedTable
details</a>)</p>
<p>When aggregating a <em>grouped stream</em>,
you must provide an initializer (e.g., <code class="docutils literal"><span
class="pre">aggValue</span> <span class="pre">=</span> <span
class="pre">0</span></code>) and an “adder”
aggregator (e.g., <code class="docutils
literal"><span class="pre">aggValue</span> <span class="pre">+</span> <span
class="pre">curValue</span></code>). When aggregating a <em>grouped
table</em>, you must provide a
“subtractor” aggregator
(think: <code class="docutils literal"><span class="pre">aggValue</span> <span
class="pre">-</span> <span class="pre">oldValue</span></code>).</p>
@@ -876,8 +876,8 @@
Aggregates the values of records, <a
class="reference internal" href="#streams-developer-guide-dsl-windowing"><span
class="std std-ref">per window</span></a>, by the grouped key.
Aggregating is a generalization of <code
class="docutils literal"><span class="pre">reduce</span></code> and allows, for
example, the aggregate value to have a different
type than the input values.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/TimeWindowedKStream.html">TimeWindowedKStream
details</a>,
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/SessionWindowedKStream.html">SessionWindowedKStream
details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/TimeWindowedKStream.html">TimeWindowedKStream
details</a>,
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/SessionWindowedKStream.html">SessionWindowedKStream
details</a>)</p>
<p>You must provide an initializer (e.g.,
<code class="docutils literal"><span class="pre">aggValue</span> <span
class="pre">=</span> <span class="pre">0</span></code>), “adder”
aggregator (e.g., <code class="docutils literal"><span
class="pre">aggValue</span> <span class="pre">+</span> <span
class="pre">curValue</span></code>),
and a window. When windowing based on
sessions, you must additionally provide a “session merger”
aggregator
(e.g., <code class="docutils
literal"><span class="pre">mergedAggValue</span> <span class="pre">=</span>
<span class="pre">leftAggValue</span> <span class="pre">+</span> <span
class="pre">rightAggValue</span></code>).</p>
@@ -971,8 +971,8 @@
</ul>
</td>
<td><p class="first"><strong>Rolling
aggregation.</strong> Counts the number of records by the grouped key.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KGroupedStream.html">KGroupedStream
details</a>,
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KGroupedTable.html">KGroupedTable
details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KGroupedStream.html">KGroupedStream
details</a>,
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KGroupedTable.html">KGroupedTable
details</a>)</p>
<p>Several variants of <code class="docutils
literal"><span class="pre">count</span></code> exist, see Javadocs for
details.</p>
<div class="highlight-java"><div
class="highlight"><pre><span></span><span class="n">KGroupedStream</span><span
class="o"><</span><span class="n">String</span><span class="o">,</span>
<span class="n">Long</span><span class="o">></span> <span
class="n">groupedStream</span> <span class="o">=</span> <span
class="o">...;</span>
<span class="n">KGroupedTable</span><span class="o"><</span><span
class="n">String</span><span class="o">,</span> <span
class="n">Long</span><span class="o">></span> <span
class="n">groupedTable</span> <span class="o">=</span> <span
class="o">...;</span>
@@ -1002,8 +1002,8 @@
</td>
<td><p class="first"><strong>Windowed
aggregation.</strong>
Counts the number of records, <a
class="reference internal" href="#streams-developer-guide-dsl-windowing"><span
class="std std-ref">per window</span></a>, by the grouped key.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/TimeWindowedKStream.html">TimeWindowedKStream
details</a>,
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/SessionWindowedKStream.html">SessionWindowedKStream
details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/TimeWindowedKStream.html">TimeWindowedKStream
details</a>,
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/SessionWindowedKStream.html">SessionWindowedKStream
details</a>)</p>
<p>The windowed <code class="docutils
literal"><span class="pre">count</span></code> turns a <code class="docutils
literal"><span class="pre">TimeWindowedKStream<K,</span> <span
class="pre">V></span></code> or <code class="docutils literal"><span
class="pre">SessionWindowedKStream<K,</span> <span
class="pre">V></span></code>
into a windowed <code class="docutils
literal"><span class="pre">KTable<Windowed<K>,</span> <span
class="pre">V></span></code>.</p>
<p>Several variants of <code class="docutils
literal"><span class="pre">count</span></code> exist, see Javadocs for
details.</p>
@@ -1036,8 +1036,8 @@
<td><p class="first"><strong>Rolling
aggregation.</strong> Combines the values of (non-windowed) records by the
grouped key.
The current record value is combined with the
last reduced value, and a new reduced value is returned.
The result value type cannot be changed,
unlike <code class="docutils literal"><span class="pre">aggregate</span></code>.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KGroupedStream.html">KGroupedStream
details</a>,
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KGroupedTable.html">KGroupedTable
details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KGroupedStream.html">KGroupedStream
details</a>,
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KGroupedTable.html">KGroupedTable
details</a>)</p>
<p>When reducing a <em>grouped stream</em>,
you must provide an “adder” reducer (e.g., <code class="docutils
literal"><span class="pre">aggValue</span> <span class="pre">+</span> <span
class="pre">curValue</span></code>).
When reducing a <em>grouped table</em>,
you must additionally provide a “subtractor” reducer (e.g.,
<code class="docutils literal"><span
class="pre">aggValue</span> <span class="pre">-</span> <span
class="pre">oldValue</span></code>).</p>
@@ -1120,8 +1120,8 @@
The current record value is combined with the
last reduced value, and a new reduced value is returned.
Records with <code class="docutils
literal"><span class="pre">null</span></code> key or value are ignored.
The result value type cannot be changed,
unlike <code class="docutils literal"><span class="pre">aggregate</span></code>.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/TimeWindowedKStream.html">TimeWindowedKStream
details</a>,
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/SessionWindowedKStream.html">SessionWindowedKStream
details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/TimeWindowedKStream.html">TimeWindowedKStream
details</a>,
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/SessionWindowedKStream.html">SessionWindowedKStream
details</a>)</p>
<p>The windowed <code class="docutils
literal"><span class="pre">reduce</span></code> turns a turns a <code
class="docutils literal"><span class="pre">TimeWindowedKStream<K,</span>
<span class="pre">V></span></code> or a <code class="docutils literal"><span
class="pre">SessionWindowedKStream<K,</span> <span
class="pre">V></span></code>
into a windowed <code class="docutils
literal"><span class="pre">KTable<Windowed<K>,</span> <span
class="pre">V></span></code>.</p>
<p>Several variants of <code class="docutils
literal"><span class="pre">reduce</span></code> exist, see Javadocs for
details.</p>
@@ -1646,7 +1646,7 @@
</td>
<td><p class="first">Performs an INNER JOIN of
this stream with another stream.
Even though this operation is windowed,
the joined stream will be of type <code class="docutils literal"><span
class="pre">KStream<K,</span> <span class="pre">...></span></code> rather
than <code class="docutils literal"><span
class="pre">KStream<Windowed<K>,</span> <span
class="pre">...></span></code>.
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#join-org.apache.kafka.streams.kstream.KStream-org.apache.kafka.streams.kstream.ValueJoiner-org.apache.kafka.streams.kstream.JoinWindows-">(details)</a></p>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#join-org.apache.kafka.streams.kstream.KStream-org.apache.kafka.streams.kstream.ValueJoiner-org.apache.kafka.streams.kstream.JoinWindows-">(details)</a></p>
<p><strong>Data must be
co-partitioned</strong>: The input data for both sides must be <a
class="reference internal"
href="#streams-developer-guide-dsl-joins-co-partitioning"><span class="std
std-ref">co-partitioned</span></a>.</p>
<p><strong>Causes data re-partitioning of
a stream if and only if the stream was marked for re-partitioning (if both are
marked, both are re-partitioned).</strong></p>
<p>Several variants of <code
class="docutils literal"><span class="pre">join</span></code> exists, see the
Javadocs for details.</p>
@@ -1705,7 +1705,7 @@
</td>
<td><p class="first">Performs a LEFT JOIN of
this stream with another stream.
Even though this operation is windowed,
the joined stream will be of type <code class="docutils literal"><span
class="pre">KStream<K,</span> <span class="pre">...></span></code> rather
than <code class="docutils literal"><span
class="pre">KStream<Windowed<K>,</span> <span
class="pre">...></span></code>.
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#leftJoin-org.apache.kafka.streams.kstream.KStream-org.apache.kafka.streams.kstream.ValueJoiner-org.apache.kafka.streams.kstream.JoinWindows-">(details)</a></p>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#leftJoin-org.apache.kafka.streams.kstream.KStream-org.apache.kafka.streams.kstream.ValueJoiner-org.apache.kafka.streams.kstream.JoinWindows-">(details)</a></p>
<p><strong>Data must be
co-partitioned</strong>: The input data for both sides must be <a
class="reference internal"
href="#streams-developer-guide-dsl-joins-co-partitioning"><span class="std
std-ref">co-partitioned</span></a>.</p>
<p><strong>Causes data re-partitioning of
a stream if and only if the stream was marked for re-partitioning (if both are
marked, both are re-partitioned).</strong></p>
<p>Several variants of <code
class="docutils literal"><span class="pre">leftJoin</span></code> exists, see
the Javadocs for details.</p>
@@ -1767,7 +1767,7 @@
</td>
<td><p class="first">Performs an OUTER JOIN of
this stream with another stream.
Even though this operation is windowed,
the joined stream will be of type <code class="docutils literal"><span
class="pre">KStream<K,</span> <span class="pre">...></span></code> rather
than <code class="docutils literal"><span
class="pre">KStream<Windowed<K>,</span> <span
class="pre">...></span></code>.
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#outerJoin-org.apache.kafka.streams.kstream.KStream-org.apache.kafka.streams.kstream.ValueJoiner-org.apache.kafka.streams.kstream.JoinWindows-">(details)</a></p>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#outerJoin-org.apache.kafka.streams.kstream.KStream-org.apache.kafka.streams.kstream.ValueJoiner-org.apache.kafka.streams.kstream.JoinWindows-">(details)</a></p>
<p><strong>Data must be
co-partitioned</strong>: The input data for both sides must be <a
class="reference internal"
href="#streams-developer-guide-dsl-joins-co-partitioning"><span class="std
std-ref">co-partitioned</span></a>.</p>
<p><strong>Causes data re-partitioning of
a stream if and only if the stream was marked for re-partitioning (if both are
marked, both are re-partitioned).</strong></p>
<p>Several variants of <code
class="docutils literal"><span class="pre">outerJoin</span></code> exists, see
the Javadocs for details.</p>
@@ -1828,7 +1828,7 @@
The semantics of the various stream-stream join
variants are explained below.
To improve the readability of the table, assume
that (1) all records have the same key (and thus the key in the table is
omitted), (2) all records belong to a single join window, and (3) all records
are processed in timestamp order.
The columns INNER JOIN, LEFT JOIN, and OUTER JOIN
denote what is passed as arguments to the user-supplied
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/ValueJoiner.html">ValueJoiner</a>
for the <code class="docutils literal"><span class="pre">join</span></code>,
<code class="docutils literal"><span class="pre">leftJoin</span></code>, and
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/ValueJoiner.html">ValueJoiner</a>
for the <code class="docutils literal"><span class="pre">join</span></code>,
<code class="docutils literal"><span class="pre">leftJoin</span></code>, and
<code class="docutils literal"><span
class="pre">outerJoin</span></code> methods, respectively, whenever a new input
record is received on either side of the join. An empty table
cell denotes that the <code class="docutils
literal"><span class="pre">ValueJoiner</span></code> is not called at all.</p>
<table border="1" class="docutils">
@@ -1994,7 +1994,7 @@
</td>
<td><p class="first">Performs an INNER JOIN of
this table with another table.
The result is an ever-updating KTable that
represents the “current” result of the join.
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KTable.html#join-org.apache.kafka.streams.kstream.KTable-org.apache.kafka.streams.kstream.ValueJoiner-">(details)</a></p>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KTable.html#join-org.apache.kafka.streams.kstream.KTable-org.apache.kafka.streams.kstream.ValueJoiner-">(details)</a></p>
<p><strong>Data must be
co-partitioned</strong>: The input data for both sides must be <a
class="reference internal"
href="#streams-developer-guide-dsl-joins-co-partitioning"><span class="std
std-ref">co-partitioned</span></a>.</p>
<div class="highlight-java"><div
class="highlight"><pre><span></span><span class="n">KTable</span><span
class="o"><</span><span class="n">String</span><span class="o">,</span>
<span class="n">Long</span><span class="o">></span> <span
class="n">left</span> <span class="o">=</span> <span class="o">...;</span>
<span class="n">KTable</span><span class="o"><</span><span
class="n">String</span><span class="o">,</span> <span
class="n">Double</span><span class="o">></span> <span class="n">right</span>
<span class="o">=</span> <span class="o">...;</span>
@@ -2040,7 +2040,7 @@
</ul>
</td>
<td><p class="first">Performs a LEFT JOIN of
this table with another table.
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KTable.html#leftJoin-org.apache.kafka.streams.kstream.KTable-org.apache.kafka.streams.kstream.ValueJoiner-">(details)</a></p>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KTable.html#leftJoin-org.apache.kafka.streams.kstream.KTable-org.apache.kafka.streams.kstream.ValueJoiner-">(details)</a></p>
<p><strong>Data must be
co-partitioned</strong>: The input data for both sides must be <a
class="reference internal"
href="#streams-developer-guide-dsl-joins-co-partitioning"><span class="std
std-ref">co-partitioned</span></a>.</p>
<div class="highlight-java"><div
class="highlight"><pre><span></span><span class="n">KTable</span><span
class="o"><</span><span class="n">String</span><span class="o">,</span>
<span class="n">Long</span><span class="o">></span> <span
class="n">left</span> <span class="o">=</span> <span class="o">...;</span>
<span class="n">KTable</span><span class="o"><</span><span
class="n">String</span><span class="o">,</span> <span
class="n">Double</span><span class="o">></span> <span class="n">right</span>
<span class="o">=</span> <span class="o">...;</span>
@@ -2089,7 +2089,7 @@
</ul>
</td>
<td><p class="first">Performs an OUTER JOIN of
this table with another table.
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KTable.html#outerJoin-org.apache.kafka.streams.kstream.KTable-org.apache.kafka.streams.kstream.ValueJoiner-">(details)</a></p>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KTable.html#outerJoin-org.apache.kafka.streams.kstream.KTable-org.apache.kafka.streams.kstream.ValueJoiner-">(details)</a></p>
<p><strong>Data must be
co-partitioned</strong>: The input data for both sides must be <a
class="reference internal"
href="#streams-developer-guide-dsl-joins-co-partitioning"><span class="std
std-ref">co-partitioned</span></a>.</p>
<div class="highlight-java"><div
class="highlight"><pre><span></span><span class="n">KTable</span><span
class="o"><</span><span class="n">String</span><span class="o">,</span>
<span class="n">Long</span><span class="o">></span> <span
class="n">left</span> <span class="o">=</span> <span class="o">...;</span>
<span class="n">KTable</span><span class="o"><</span><span
class="n">String</span><span class="o">,</span> <span
class="n">Double</span><span class="o">></span> <span class="n">right</span>
<span class="o">=</span> <span class="o">...;</span>
@@ -2138,7 +2138,7 @@
The semantics of the various table-table join
variants are explained below.
To improve the readability of the table, you can
assume that (1) all records have the same key (and thus the key in the table is
omitted) and that (2) all records are processed in timestamp order.
The columns INNER JOIN, LEFT JOIN, and OUTER JOIN
denote what is passed as arguments to the user-supplied
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/ValueJoiner.html">ValueJoiner</a>
for the <code class="docutils literal"><span class="pre">join</span></code>,
<code class="docutils literal"><span class="pre">leftJoin</span></code>, and
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/ValueJoiner.html">ValueJoiner</a>
for the <code class="docutils literal"><span class="pre">join</span></code>,
<code class="docutils literal"><span class="pre">leftJoin</span></code>, and
<code class="docutils literal"><span
class="pre">outerJoin</span></code> methods, respectively, whenever a new input
record is received on either side of the join. An empty table
cell denotes that the <code class="docutils
literal"><span class="pre">ValueJoiner</span></code> is not called at all.</p>
<table border="1" class="docutils">
@@ -2302,7 +2302,7 @@
</ul>
</td>
<td><p class="first">Performs an INNER JOIN of
this stream with the table, effectively doing a table lookup.
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#join-org.apache.kafka.streams.kstream.KTable-org.apache.kafka.streams.kstream.ValueJoiner-">(details)</a></p>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#join-org.apache.kafka.streams.kstream.KTable-org.apache.kafka.streams.kstream.ValueJoiner-">(details)</a></p>
<p><strong>Data must be
co-partitioned</strong>: The input data for both sides must be <a
class="reference internal"
href="#streams-developer-guide-dsl-joins-co-partitioning"><span class="std
std-ref">co-partitioned</span></a>.</p>
<p><strong>Causes data re-partitioning of
the stream if and only if the stream was marked for
re-partitioning.</strong></p>
<p>Several variants of <code
class="docutils literal"><span class="pre">join</span></code> exists, see the
Javadocs for details.</p>
@@ -2355,7 +2355,7 @@
</ul>
</td>
<td><p class="first">Performs a LEFT JOIN of
this stream with the table, effectively doing a table lookup.
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#leftJoin-org.apache.kafka.streams.kstream.KTable-org.apache.kafka.streams.kstream.ValueJoiner-">(details)</a></p>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#leftJoin-org.apache.kafka.streams.kstream.KTable-org.apache.kafka.streams.kstream.ValueJoiner-">(details)</a></p>
<p><strong>Data must be
co-partitioned</strong>: The input data for both sides must be <a
class="reference internal"
href="#streams-developer-guide-dsl-joins-co-partitioning"><span class="std
std-ref">co-partitioned</span></a>.</p>
<p><strong>Causes data re-partitioning of
the stream if and only if the stream was marked for
re-partitioning.</strong></p>
<p>Several variants of <code
class="docutils literal"><span class="pre">leftJoin</span></code> exists, see
the Javadocs for details.</p>
@@ -2411,7 +2411,7 @@
To improve the readability of the table we assume
that (1) all records have the same key (and thus we omit the key in
the table) and that (2) all records are processed
in timestamp order.
The columns INNER JOIN and LEFT JOIN denote what
is passed as arguments to the user-supplied
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/ValueJoiner.html">ValueJoiner</a>
for the <code class="docutils literal"><span class="pre">join</span></code>
and <code class="docutils literal"><span class="pre">leftJoin</span></code>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/ValueJoiner.html">ValueJoiner</a>
for the <code class="docutils literal"><span class="pre">join</span></code>
and <code class="docutils literal"><span class="pre">leftJoin</span></code>
methods, respectively, whenever a new input record
is received on either side of the join. An empty table
cell denotes that the <code class="docutils
literal"><span class="pre">ValueJoiner</span></code> is not called at all.</p>
<table border="1" class="docutils">
@@ -2573,7 +2573,7 @@
</ul>
</td>
<td><p class="first">Performs an INNER JOIN of
this stream with the global table, effectively doing a table lookup.
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#join-org.apache.kafka.streams.kstream.GlobalKTable-org.apache.kafka.streams.kstream.KeyValueMapper-org.apache.kafka.streams.kstream.ValueJoiner-">(details)</a></p>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#join-org.apache.kafka.streams.kstream.GlobalKTable-org.apache.kafka.streams.kstream.KeyValueMapper-org.apache.kafka.streams.kstream.ValueJoiner-">(details)</a></p>
<p>The <code class="docutils
literal"><span class="pre">GlobalKTable</span></code> is fully bootstrapped
upon (re)start of a <code class="docutils literal"><span
class="pre">KafkaStreams</span></code> instance, which means the table is fully
populated with all the data in the underlying topic that is
available at the time of the startup.
The actual data processing begins only once the bootstrapping has completed.</p>
<p><strong>Causes data re-partitioning of
the stream if and only if the stream was marked for
re-partitioning.</strong></p>
@@ -2627,7 +2627,7 @@
</ul>
</td>
<td><p class="first">Performs a LEFT JOIN of
this stream with the global table, effectively doing a table lookup.
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#leftJoin-org.apache.kafka.streams.kstream.GlobalKTable-org.apache.kafka.streams.kstream.KeyValueMapper-org.apache.kafka.streams.kstream.ValueJoiner-">(details)</a></p>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#leftJoin-org.apache.kafka.streams.kstream.GlobalKTable-org.apache.kafka.streams.kstream.KeyValueMapper-org.apache.kafka.streams.kstream.ValueJoiner-">(details)</a></p>
<p>The <code class="docutils
literal"><span class="pre">GlobalKTable</span></code> is fully bootstrapped
upon (re)start of a <code class="docutils literal"><span
class="pre">KafkaStreams</span></code> instance, which means the table is fully
populated with all the data in the underlying topic that is
available at the time of the startup.
The actual data processing begins only once the bootstrapping has completed.</p>
<p><strong>Causes data re-partitioning of
the stream if and only if the stream was marked for
re-partitioning.</strong></p>
@@ -2903,11 +2903,11 @@ t=5 (blue), which lead to a merge of sessions and an
extension of a session, res
</td>
<td><p class="first"><strong>Terminal
operation.</strong> Applies a <code class="docutils literal"><span
class="pre">Processor</span></code> to each record.
<code class="docutils literal"><span
class="pre">process()</span></code> allows you to leverage the <a
class="reference internal"
href="processor-api.html#streams-developer-guide-processor-api"><span
class="std std-ref">Processor API</span></a> from the DSL.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#process-org.apache.kafka.streams.processor.ProcessorSupplier-java.lang.String...-">details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#process-org.apache.kafka.streams.processor.ProcessorSupplier-java.lang.String...-">details</a>)</p>
<p>This is essentially equivalent to adding the
<code class="docutils literal"><span class="pre">Processor</span></code> via
<code class="docutils literal"><span
class="pre">Topology#addProcessor()</span></code> to your
<a class="reference internal"
href="../concepts.html#streams-concepts-processor-topology"><span class="std
std-ref">processor topology</span></a>.</p>
<p class="last">An example is available in the
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#process-org.apache.kafka.streams.processor.ProcessorSupplier-java.lang.String...-">javadocs</a>.</p>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#process-org.apache.kafka.streams.processor.ProcessorSupplier-java.lang.String...-">javadocs</a>.</p>
</td>
</tr>
<tr class="row-odd"><td><p
class="first"><strong>Transform</strong></p>
@@ -2917,7 +2917,7 @@ t=5 (blue), which lead to a merge of sessions and an
extension of a session, res
</td>
<td><p class="first">Applies a <code class="docutils
literal"><span class="pre">Transformer</span></code> to each record.
<code class="docutils literal"><span
class="pre">transform()</span></code> allows you to leverage the <a
class="reference internal"
href="processor-api.html#streams-developer-guide-processor-api"><span
class="std std-ref">Processor API</span></a> from the DSL.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#transform-org.apache.kafka.streams.kstream.TransformerSupplier-java.lang.String...-">details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#transform-org.apache.kafka.streams.kstream.TransformerSupplier-java.lang.String...-">details</a>)</p>
<p>Each input record is transformed into zero,
one, or more output records (similar to the stateless <code class="docutils
literal"><span class="pre">flatMap</span></code>).
The <code class="docutils literal"><span
class="pre">Transformer</span></code> must return <code class="docutils
literal"><span class="pre">null</span></code> for zero output.
You can modify the record’s key and
value, including their types.</p>
@@ -2927,7 +2927,7 @@ t=5 (blue), which lead to a merge of sessions and an
extension of a session, res
<p><code class="docutils literal"><span
class="pre">transform</span></code> is essentially equivalent to adding the
<code class="docutils literal"><span class="pre">Transformer</span></code> via
<code class="docutils literal"><span
class="pre">Topology#addProcessor()</span></code> to your
<a class="reference internal"
href="../concepts.html#streams-concepts-processor-topology"><span class="std
std-ref">processor topology</span></a>.</p>
<p class="last">An example is available in the
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#transform-org.apache.kafka.streams.kstream.TransformerSupplier-java.lang.String...-">javadocs</a>.
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#transform-org.apache.kafka.streams.kstream.TransformerSupplier-java.lang.String...-">javadocs</a>.
</p>
</td>
</tr>
@@ -2938,14 +2938,14 @@ t=5 (blue), which lead to a merge of sessions and an
extension of a session, res
</td>
<td><p class="first">Applies a <code class="docutils
literal"><span class="pre">ValueTransformer</span></code> to each record, while
retaining the key of the original record.
<code class="docutils literal"><span
class="pre">transformValues()</span></code> allows you to leverage the <a
class="reference internal"
href="processor-api.html#streams-developer-guide-processor-api"><span
class="std std-ref">Processor API</span></a> from the DSL.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#transformValues-org.apache.kafka.streams.kstream.ValueTransformerSupplier-java.lang.String...-">details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#transformValues-org.apache.kafka.streams.kstream.ValueTransformerSupplier-java.lang.String...-">details</a>)</p>
<p>Each input record is transformed into exactly
one output record (zero output records or multiple output records are not
possible).
The <code class="docutils literal"><span
class="pre">ValueTransformer</span></code> may return <code class="docutils
literal"><span class="pre">null</span></code> as the new value for a record.</p>
<p><code class="docutils literal"><span
class="pre">transformValues</span></code> is preferable to <code
class="docutils literal"><span class="pre">transform</span></code> because it
will not cause data re-partitioning.</p>
<p><code class="docutils literal"><span
class="pre">transformValues</span></code> is essentially equivalent to adding
the <code class="docutils literal"><span
class="pre">ValueTransformer</span></code> via <code class="docutils
literal"><span class="pre">Topology#addProcessor()</span></code> to your
<a class="reference internal"
href="../concepts.html#streams-concepts-processor-topology"><span class="std
std-ref">processor topology</span></a>.</p>
<p class="last">An example is available in the
- <a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#transformValues-org.apache.kafka.streams.kstream.ValueTransformerSupplier-java.lang.String...-">javadocs</a>.</p>
+ <a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#transformValues-org.apache.kafka.streams.kstream.ValueTransformerSupplier-java.lang.String...-">javadocs</a>.</p>
</td>
</tr>
</tbody>
@@ -3051,7 +3051,7 @@ t=5 (blue), which lead to a merge of sessions and an
extension of a session, res
</ul>
</td>
<td><p class="first"><strong>Terminal operation.</strong>
Write the records to a Kafka topic.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#to(java.lang.String)">KStream
details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#to(java.lang.String)">KStream
details</a>)</p>
<p>When to provide serdes explicitly:</p>
<ul class="simple">
<li>If you do not specify SerDes explicitly, the
default SerDes from the
@@ -3098,7 +3098,7 @@ t=5 (blue), which lead to a merge of sessions and an
extension of a session, res
</td>
<td><p class="first">Write the records to a Kafka topic
and create a new stream/table from that topic.
Essentially a shorthand for <code class="docutils
literal"><span class="pre">KStream#to()</span></code> followed by <code
class="docutils literal"><span
class="pre">StreamsBuilder#stream()</span></code>, same for tables.
- (<a class="reference external"
href="../javadocs/org/apache/kafka/streams/kstream/KStream.html#through(java.lang.String)">KStream
details</a>)</p>
+ (<a class="reference external"
href="../../../javadoc/org/apache/kafka/streams/kstream/KStream.html#through(java.lang.String)">KStream
details</a>)</p>
<p>When to provide SerDes explicitly:</p>
<ul class="simple">
<li>If you do not specify SerDes explicitly, the
default SerDes from the
--
To stop receiving notification emails like this one, please contact
[email protected].
