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https://issues.apache.org/jira/browse/STORM-1220?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15021154#comment-15021154
]
ASF GitHub Bot commented on STORM-1220:
---------------------------------------
Github user arunmahadevan commented on a diff in the pull request:
https://github.com/apache/storm/pull/894#discussion_r45563324
--- Diff: external/storm-kafka/src/jvm/storm/kafka/StringScheme.java ---
@@ -20,23 +20,27 @@
import backtype.storm.spout.Scheme;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.Values;
+import backtype.storm.utils.Utils;
-import java.io.UnsupportedEncodingException;
+import java.nio.ByteBuffer;
+import java.nio.charset.Charset;
+import java.nio.charset.StandardCharsets;
import java.util.List;
public class StringScheme implements Scheme {
-
+ private static final Charset UTF8_CHARSET = StandardCharsets.UTF_8;
public static final String STRING_SCHEME_KEY = "str";
- public List<Object> deserialize(byte[] bytes) {
+ public List<Object> deserialize(ByteBuffer bytes) {
return new Values(deserializeString(bytes));
}
- public static String deserializeString(byte[] string) {
- try {
- return new String(string, "UTF-8");
- } catch (UnsupportedEncodingException e) {
- throw new RuntimeException(e);
+ public static String deserializeString(ByteBuffer string) {
+ if (!string.hasArray()) {
--- End diff --
I think this should be `if (string.hasArray())`
> Avoid double copying in the Kafka spout
> ---------------------------------------
>
> Key: STORM-1220
> URL: https://issues.apache.org/jira/browse/STORM-1220
> Project: Apache Storm
> Issue Type: Bug
> Reporter: Haohui Mai
> Assignee: Haohui Mai
>
> Currently the kafka spout takes a {{ByteBuffer}} from Kafka. However, the
> serialization scheme takes a {{byte[]}} array as input. Therefore the current
> implementation copies the {{ByteBuffer}} to a new {{byte[]}} array in order
> to hook everything together.
> This jira proposes to changes the interfaces of serialization scheme to avoid
> copying the data twice in the spout.
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