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Posted to commits@kafka.apache.org by gw...@apache.org on 2015/12/27 08:14:34 UTC
kafka git commit: KAFKA-3043: Replace request.required.acks with acks
in docs.
Repository: kafka
Updated Branches:
refs/heads/trunk b0a4a57c5 -> d9ddc109f
KAFKA-3043: Replace request.required.acks with acks in docs.
In Kafka 0.9, request.required.acks=-1 which configration of producer is replaced by acks=all,
but this old config is remained in docs.
Author: Sasaki Toru <sa...@nttdata.co.jp>
Reviewers: Gwen Shapira
Closes #716 from sasakitoa/acks_doc
Project: http://git-wip-us.apache.org/repos/asf/kafka/repo
Commit: http://git-wip-us.apache.org/repos/asf/kafka/commit/d9ddc109
Tree: http://git-wip-us.apache.org/repos/asf/kafka/tree/d9ddc109
Diff: http://git-wip-us.apache.org/repos/asf/kafka/diff/d9ddc109
Branch: refs/heads/trunk
Commit: d9ddc109fd360d5deb2894ad73cb9e12e2f8edbf
Parents: b0a4a57
Author: Sasaki Toru <sa...@nttdata.co.jp>
Authored: Sat Dec 26 23:14:31 2015 -0800
Committer: Gwen Shapira <cs...@gmail.com>
Committed: Sat Dec 26 23:14:31 2015 -0800
----------------------------------------------------------------------
core/src/main/scala/kafka/server/KafkaConfig.scala | 2 +-
docs/configuration.html | 4 ++--
docs/design.html | 6 +++---
3 files changed, 6 insertions(+), 6 deletions(-)
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http://git-wip-us.apache.org/repos/asf/kafka/blob/d9ddc109/core/src/main/scala/kafka/server/KafkaConfig.scala
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diff --git a/core/src/main/scala/kafka/server/KafkaConfig.scala b/core/src/main/scala/kafka/server/KafkaConfig.scala
index 9d3150a..856742f 100755
--- a/core/src/main/scala/kafka/server/KafkaConfig.scala
+++ b/core/src/main/scala/kafka/server/KafkaConfig.scala
@@ -414,7 +414,7 @@ object KafkaConfig {
val LogPreAllocateEnableDoc = "Should pre allocate file when create new segment? If you are using Kafka on Windows, you probably need to set it to true."
val NumRecoveryThreadsPerDataDirDoc = "The number of threads per data directory to be used for log recovery at startup and flushing at shutdown"
val AutoCreateTopicsEnableDoc = "Enable auto creation of topic on the server"
- val MinInSyncReplicasDoc = "define the minimum number of replicas in ISR needed to satisfy a produce request with required.acks=-1 (or all)"
+ val MinInSyncReplicasDoc = "define the minimum number of replicas in ISR needed to satisfy a produce request with acks=all (or -1)"
/** ********* Replication configuration ***********/
val ControllerSocketTimeoutMsDoc = "The socket timeout for controller-to-broker channels"
val ControllerMessageQueueSizeDoc = "The buffer size for controller-to-broker-channels"
http://git-wip-us.apache.org/repos/asf/kafka/blob/d9ddc109/docs/configuration.html
----------------------------------------------------------------------
diff --git a/docs/configuration.html b/docs/configuration.html
index 358431e..4b88f26 100644
--- a/docs/configuration.html
+++ b/docs/configuration.html
@@ -106,8 +106,8 @@ The following are the topic-level configurations. The server's default configura
<td>min.insync.replicas</td>
<td>1</td>
<td>min.insync.replicas</td>
- <td>When a producer sets request.required.acks to -1, min.insync.replicas specifies the minimum number of replicas that must acknowledge a write for the write to be considered successful. If this minimum cannot be met, then the producer will raise an exception (either NotEnoughReplicas or NotEnoughReplicasAfterAppend).
- When used together, min.insync.replicas and request.required.acks allow you to enforce greater durability guarantees. A typical scenario would be to create a topic with a replication factor of 3, set min.insync.replicas to 2, and produce with request.required.acks of -1. This will ensure that the producer raises an exception if a majority of replicas do not receive a write.</td>
+ <td>When a producer sets acks to "all", min.insync.replicas specifies the minimum number of replicas that must acknowledge a write for the write to be considered successful. If this minimum cannot be met, then the producer will raise an exception (either NotEnoughReplicas or NotEnoughReplicasAfterAppend).
+ When used together, min.insync.replicas and acks allow you to enforce greater durability guarantees. A typical scenario would be to create a topic with a replication factor of 3, set min.insync.replicas to 2, and produce with acks of "all". This will ensure that the producer raises an exception if a majority of replicas do not receive a write.</td>
</tr>
<tr>
<td>retention.bytes</td>
http://git-wip-us.apache.org/repos/asf/kafka/blob/d9ddc109/docs/design.html
----------------------------------------------------------------------
diff --git a/docs/design.html b/docs/design.html
index b2cd7ab..10e8f9d 100644
--- a/docs/design.html
+++ b/docs/design.html
@@ -200,7 +200,7 @@ We refer to nodes satisfying these two conditions as being "in sync" to avoid th
<p>
In distributed systems terminology we only attempt to handle a "fail/recover" model of failures where nodes suddenly cease working and then later recover (perhaps without knowing that they have died). Kafka does not handle so-called "Byzantine" failures in which nodes produce arbitrary or malicious responses (perhaps due to bugs or foul play).
<p>
-A message is considered "committed" when all in sync replicas for that partition have applied it to their log. Only committed messages are ever given out to the consumer. This means that the consumer need not worry about potentially seeing a message that could be lost if the leader fails. Producers, on the other hand, have the option of either waiting for the message to be committed or not, depending on their preference for tradeoff between latency and durability. This preference is controlled by the request.required.acks setting that the producer uses.
+A message is considered "committed" when all in sync replicas for that partition have applied it to their log. Only committed messages are ever given out to the consumer. This means that the consumer need not worry about potentially seeing a message that could be lost if the leader fails. Producers, on the other hand, have the option of either waiting for the message to be committed or not, depending on their preference for tradeoff between latency and durability. This preference is controlled by the acks setting that the producer uses.
<p>
The guarantee that Kafka offers is that a committed message will not be lost, as long as there is at least one in sync replica alive, at all times.
<p>
@@ -248,12 +248,12 @@ This dilemma is not specific to Kafka. It exists in any quorum-based scheme. For
<h4><a id="design_ha" href="#design_ha">Availability and Durability Guarantees</a></h4>
When writing to Kafka, producers can choose whether they wait for the message to be acknowledged by 0,1 or all (-1) replicas.
-Note that "acknowledgement by all replicas" does not guarantee that the full set of assigned replicas have received the message. By default, when request.required.acks=-1, acknowledgement happens as soon as all the current in-sync replicas have received the message. For example, if a topic is configured with only two replicas and one fails (i.e., only one in sync replica remains), then writes that specify request.required.acks=-1 will succeed. However, these writes could be lost if the remaining replica also fails.
+Note that "acknowledgement by all replicas" does not guarantee that the full set of assigned replicas have received the message. By default, when acks=all, acknowledgement happens as soon as all the current in-sync replicas have received the message. For example, if a topic is configured with only two replicas and one fails (i.e., only one in sync replica remains), then writes that specify acks=all will succeed. However, these writes could be lost if the remaining replica also fails.
Although this ensures maximum availability of the partition, this behavior may be undesirable to some users who prefer durability over availability. Therefore, we provide two topic-level configurations that can be used to prefer message durability over availability:
<ol>
<li> Disable unclean leader election - if all replicas become unavailable, then the partition will remain unavailable until the most recent leader becomes available again. This effectively prefers unavailability over the risk of message loss. See the previous section on Unclean Leader Election for clarification. </li>
- <li> Specify a minimum ISR size - the partition will only accept writes if the size of the ISR is above a certain minimum, in order to prevent the loss of messages that were written to just a single replica, which subsequently becomes unavailable. This setting only takes effect if the producer uses required.acks=-1 and guarantees that the message will be acknowledged by at least this many in-sync replicas.
+ <li> Specify a minimum ISR size - the partition will only accept writes if the size of the ISR is above a certain minimum, in order to prevent the loss of messages that were written to just a single replica, which subsequently becomes unavailable. This setting only takes effect if the producer uses acks=all and guarantees that the message will be acknowledged by at least this many in-sync replicas.
This setting offers a trade-off between consistency and availability. A higher setting for minimum ISR size guarantees better consistency since the message is guaranteed to be written to more replicas which reduces the probability that it will be lost. However, it reduces availability since the partition will be unavailable for writes if the number of in-sync replicas drops below the minimum threshold. </li>
</ol>