Can't Consume Messages When Using Kafka v.0.10.0.x

up vote
0
down vote

favorite

I'm using kafka v.0.10.2 on my cluster.

I can produce message fine using v.0.8.x and v0.10.2

BUT when consuming messages using client v0.10.0.x I'm having errors below;

WARN [ConsumerFetcherThread-console-consumer-myconsumer-0-1002], Error in fetch kafka.consumer.ConsumerFetcherThread$FetchRequest@16090d7a. Possible cause: java.nio.BufferUnderflowException (kafka.consumer.ConsumerFetcherThread)

ok,now my kafka.clien is v.0.8.x
but ihave a new problem

    6 15:07:13 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, hadoop11, executor 10): org.apache.spark.SparkException: Task failed while writing rows

        at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:151)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:79)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78)

        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)

        at org.apache.spark.scheduler.Task.run(Task.scala:109)

        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)

        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)

        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)

        at java.lang.Thread.run(Thread.java:748)

Caused by: kafka.common.KafkaException: String exceeds the maximum size of 32767.

        at kafka.api.ApiUtils$.shortStringLength(ApiUtils.scala:73)

        at kafka.api.TopicData$.headerSize(FetchResponse.scala:107)

        at kafka.api.TopicData.<init>(FetchResponse.scala:113)

        at kafka.api.TopicData$.readFrom(FetchResponse.scala:103)

        at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:170)

        at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:169)

        at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)

        at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)

        at scala.collection.immutable.Range.foreach(Range.scala:160)

        at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)

        at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)

        at kafka.api.FetchResponse$.readFrom(FetchResponse.scala:169)

        at kafka.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:135)

        at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.fetchBatch(KafkaRDD.scala:196)

        at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.getNext(KafkaRDD.scala:212)

        at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)

        at scala.collection.Iterator$GroupedIterator.fill(Iterator.scala:1126)

        at scala.collection.Iterator$GroupedIterator.hasNext(Iterator.scala:1132)

        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)

        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:124)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:123)

        at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1411)

        at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:135)

        ... 8 more

what show i do
String exceeds the maximum size of 32767.

edited Nov 16 at 7:16

asked Nov 15 at 1:58

mrzhang

164

Please show a Minimal, Complete, and Verifiable example of all configurations, code, and commands used
– cricket_007
Nov 15 at 2:20

I am pretty sure that the best case is to use the same version of the client with the broker version
– dtheo
Nov 15 at 3:55

yes, I agree with you, but the point is that the versions are inconsistent.
– mrzhang
Nov 15 at 5:55

kafka.apache.org/0102/documentation.html says Version 0.10.2 brokers support 0.8.x and newer clients. But the error you have is usually happened by a mismatch version.
– dtheo
Nov 16 at 4:30

String exceeds the maximum size of 32767.what should i do
– mrzhang
Nov 16 at 7:17

|
show 1 more comment

up vote
0
down vote

favorite

I'm using kafka v.0.10.2 on my cluster.

I can produce message fine using v.0.8.x and v0.10.2

BUT when consuming messages using client v0.10.0.x I'm having errors below;

WARN [ConsumerFetcherThread-console-consumer-myconsumer-0-1002], Error in fetch kafka.consumer.ConsumerFetcherThread$FetchRequest@16090d7a. Possible cause: java.nio.BufferUnderflowException (kafka.consumer.ConsumerFetcherThread)

ok,now my kafka.clien is v.0.8.x
but ihave a new problem

    6 15:07:13 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, hadoop11, executor 10): org.apache.spark.SparkException: Task failed while writing rows

        at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:151)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:79)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78)

        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)

        at org.apache.spark.scheduler.Task.run(Task.scala:109)

        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)

        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)

        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)

        at java.lang.Thread.run(Thread.java:748)

Caused by: kafka.common.KafkaException: String exceeds the maximum size of 32767.

        at kafka.api.ApiUtils$.shortStringLength(ApiUtils.scala:73)

        at kafka.api.TopicData$.headerSize(FetchResponse.scala:107)

        at kafka.api.TopicData.<init>(FetchResponse.scala:113)

        at kafka.api.TopicData$.readFrom(FetchResponse.scala:103)

        at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:170)

        at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:169)

        at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)

        at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)

        at scala.collection.immutable.Range.foreach(Range.scala:160)

        at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)

        at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)

        at kafka.api.FetchResponse$.readFrom(FetchResponse.scala:169)

        at kafka.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:135)

        at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.fetchBatch(KafkaRDD.scala:196)

        at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.getNext(KafkaRDD.scala:212)

        at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)

        at scala.collection.Iterator$GroupedIterator.fill(Iterator.scala:1126)

        at scala.collection.Iterator$GroupedIterator.hasNext(Iterator.scala:1132)

        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)

        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:124)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:123)

        at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1411)

        at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:135)

        ... 8 more

what show i do
String exceeds the maximum size of 32767.

edited Nov 16 at 7:16

asked Nov 15 at 1:58

mrzhang

164

Please show a Minimal, Complete, and Verifiable example of all configurations, code, and commands used
– cricket_007
Nov 15 at 2:20

I am pretty sure that the best case is to use the same version of the client with the broker version
– dtheo
Nov 15 at 3:55

yes, I agree with you, but the point is that the versions are inconsistent.
– mrzhang
Nov 15 at 5:55

kafka.apache.org/0102/documentation.html says Version 0.10.2 brokers support 0.8.x and newer clients. But the error you have is usually happened by a mismatch version.
– dtheo
Nov 16 at 4:30

String exceeds the maximum size of 32767.what should i do
– mrzhang
Nov 16 at 7:17

|
show 1 more comment

up vote
0
down vote

favorite

I'm using kafka v.0.10.2 on my cluster.

I can produce message fine using v.0.8.x and v0.10.2

BUT when consuming messages using client v0.10.0.x I'm having errors below;

WARN [ConsumerFetcherThread-console-consumer-myconsumer-0-1002], Error in fetch kafka.consumer.ConsumerFetcherThread$FetchRequest@16090d7a. Possible cause: java.nio.BufferUnderflowException (kafka.consumer.ConsumerFetcherThread)

ok,now my kafka.clien is v.0.8.x
but ihave a new problem

    6 15:07:13 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, hadoop11, executor 10): org.apache.spark.SparkException: Task failed while writing rows

        at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:151)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:79)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78)

        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)

        at org.apache.spark.scheduler.Task.run(Task.scala:109)

        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)

        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)

        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)

        at java.lang.Thread.run(Thread.java:748)

Caused by: kafka.common.KafkaException: String exceeds the maximum size of 32767.

        at kafka.api.ApiUtils$.shortStringLength(ApiUtils.scala:73)

        at kafka.api.TopicData$.headerSize(FetchResponse.scala:107)

        at kafka.api.TopicData.<init>(FetchResponse.scala:113)

        at kafka.api.TopicData$.readFrom(FetchResponse.scala:103)

        at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:170)

        at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:169)

        at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)

        at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)

        at scala.collection.immutable.Range.foreach(Range.scala:160)

        at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)

        at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)

        at kafka.api.FetchResponse$.readFrom(FetchResponse.scala:169)

        at kafka.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:135)

        at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.fetchBatch(KafkaRDD.scala:196)

        at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.getNext(KafkaRDD.scala:212)

        at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)

        at scala.collection.Iterator$GroupedIterator.fill(Iterator.scala:1126)

        at scala.collection.Iterator$GroupedIterator.hasNext(Iterator.scala:1132)

        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)

        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:124)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:123)

        at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1411)

        at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:135)

        ... 8 more

what show i do
String exceeds the maximum size of 32767.

edited Nov 16 at 7:16

asked Nov 15 at 1:58

mrzhang

164

I'm using kafka v.0.10.2 on my cluster.

I can produce message fine using v.0.8.x and v0.10.2

BUT when consuming messages using client v0.10.0.x I'm having errors below;

WARN [ConsumerFetcherThread-console-consumer-myconsumer-0-1002], Error in fetch kafka.consumer.ConsumerFetcherThread$FetchRequest@16090d7a. Possible cause: java.nio.BufferUnderflowException (kafka.consumer.ConsumerFetcherThread)

ok,now my kafka.clien is v.0.8.x
but ihave a new problem

    6 15:07:13 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, hadoop11, executor 10): org.apache.spark.SparkException: Task failed while writing rows

        at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:151)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:79)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78)

        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)

        at org.apache.spark.scheduler.Task.run(Task.scala:109)

        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)

        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)

        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)

        at java.lang.Thread.run(Thread.java:748)

Caused by: kafka.common.KafkaException: String exceeds the maximum size of 32767.

        at kafka.api.ApiUtils$.shortStringLength(ApiUtils.scala:73)

        at kafka.api.TopicData$.headerSize(FetchResponse.scala:107)

        at kafka.api.TopicData.<init>(FetchResponse.scala:113)

        at kafka.api.TopicData$.readFrom(FetchResponse.scala:103)

        at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:170)

        at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:169)

        at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)

        at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)

        at scala.collection.immutable.Range.foreach(Range.scala:160)

        at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)

        at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)

        at kafka.api.FetchResponse$.readFrom(FetchResponse.scala:169)

        at kafka.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:135)

        at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.fetchBatch(KafkaRDD.scala:196)

        at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.getNext(KafkaRDD.scala:212)

        at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)

        at scala.collection.Iterator$GroupedIterator.fill(Iterator.scala:1126)

        at scala.collection.Iterator$GroupedIterator.hasNext(Iterator.scala:1132)

        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)

        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:124)

        at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:123)

        at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1411)

        at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:135)

        ... 8 more

what show i do
String exceeds the maximum size of 32767.

apache-kafka

edited Nov 16 at 7:16

asked Nov 15 at 1:58

mrzhang

164

edited Nov 16 at 7:16

asked Nov 15 at 1:58

mrzhang

164

edited Nov 16 at 7:16

asked Nov 15 at 1:58

mrzhang

164

asked Nov 15 at 1:58

mrzhang

164

asked Nov 15 at 1:58

mrzhang

164

Please show a Minimal, Complete, and Verifiable example of all configurations, code, and commands used
– cricket_007
Nov 15 at 2:20

I am pretty sure that the best case is to use the same version of the client with the broker version
– dtheo
Nov 15 at 3:55

yes, I agree with you, but the point is that the versions are inconsistent.
– mrzhang
Nov 15 at 5:55

kafka.apache.org/0102/documentation.html says Version 0.10.2 brokers support 0.8.x and newer clients. But the error you have is usually happened by a mismatch version.
– dtheo
Nov 16 at 4:30

String exceeds the maximum size of 32767.what should i do
– mrzhang
Nov 16 at 7:17

|
show 1 more comment

Please show a Minimal, Complete, and Verifiable example of all configurations, code, and commands used
– cricket_007
Nov 15 at 2:20

I am pretty sure that the best case is to use the same version of the client with the broker version
– dtheo
Nov 15 at 3:55

yes, I agree with you, but the point is that the versions are inconsistent.
– mrzhang
Nov 15 at 5:55

kafka.apache.org/0102/documentation.html says Version 0.10.2 brokers support 0.8.x and newer clients. But the error you have is usually happened by a mismatch version.
– dtheo
Nov 16 at 4:30

String exceeds the maximum size of 32767.what should i do
– mrzhang
Nov 16 at 7:17

Please show a Minimal, Complete, and Verifiable example of all configurations, code, and commands used
– cricket_007
Nov 15 at 2:20

I am pretty sure that the best case is to use the same version of the client with the broker version
– dtheo
Nov 15 at 3:55

yes, I agree with you, but the point is that the versions are inconsistent.
– mrzhang
Nov 15 at 5:55

kafka.apache.org/0102/documentation.html says Version 0.10.2 brokers support 0.8.x and newer clients. But the error you have is usually happened by a mismatch version.
– dtheo
Nov 16 at 4:30

String exceeds the maximum size of 32767.what should i do
– mrzhang
Nov 16 at 7:17

|
show 1 more comment

1 Answer
1

active

oldest

votes

up vote
0
down vote

Tell me about my final plan
I upgraded the version to 0.10.2

answered Nov 22 at 9:13

mrzhang

164

add a comment |

Your Answer

StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");

StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);

StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});

function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});

}
});

draft saved

draft discarded

Sign up or log in

StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});

Post as a guest

Name

Required, but never shown

StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53311356%2fcant-consume-messages-when-using-kafka-v-0-10-0-x%23new-answer', 'question_page');
}
);

Post as a guest

Name

Required, but never shown

1 Answer
1

active

oldest

votes

1 Answer
1

active

oldest

votes

up vote
0
down vote

Tell me about my final plan
I upgraded the version to 0.10.2

answered Nov 22 at 9:13

mrzhang

164

add a comment |

up vote
0
down vote

Tell me about my final plan
I upgraded the version to 0.10.2

answered Nov 22 at 9:13

mrzhang

164

add a comment |

up vote
0
down vote

Tell me about my final plan
I upgraded the version to 0.10.2

answered Nov 22 at 9:13

mrzhang

164

Tell me about my final plan
I upgraded the version to 0.10.2

answered Nov 22 at 9:13

mrzhang

164

answered Nov 22 at 9:13

mrzhang

164

answered Nov 22 at 9:13

mrzhang

164

answered Nov 22 at 9:13

mrzhang

164

add a comment |

draft saved

draft discarded

Thanks for contributing an answer to Stack Overflow!

Please be sure to answer the question. Provide details and share your research!

But avoid …

Asking for help, clarification, or responding to other answers.

Making statements based on opinion; back them up with references or personal experience.

To learn more, see our tips on writing great answers.

Some of your past answers have not been well-received, and you're in danger of being blocked from answering.

Please pay close attention to the following guidance:

Please be sure to answer the question. Provide details and share your research!

But avoid …

Asking for help, clarification, or responding to other answers.

Making statements based on opinion; back them up with references or personal experience.

To learn more, see our tips on writing great answers.

draft saved

draft discarded

Sign up or log in

StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});

Post as a guest

Name

Required, but never shown

Post as a guest

Name

Required, but never shown

Sign up or log in

StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});

Post as a guest

Name

Required, but never shown

Sign up or log in

StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});

Post as a guest

Name

Required, but never shown

Sign up or log in

StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});

Post as a guest

Name

Required, but never shown

Name

Required, but never shown

Name

Required, but never shown

This page is only for reference, If you need detailed information, please check here

搜尋此網誌

Cfrgtkky