duhanmin commented on a change in pull request #23278: [SPARK-24920][Core]
Allow sharing Netty's memory pool allocators
URL: https://github.com/apache/spark/pull/23278#discussion_r242102517
##########
File path:
common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java
##########
@@ -265,6 +265,16 @@ public boolean saslServerAlwaysEncrypt() {
return conf.getBoolean("spark.network.sasl.serverAlwaysEncrypt", false);
}
+ /**
+ * Flag indicating whether to share the pooled ByteBuf allocators between
the different Netty
+ * channels. If enabled then only two pooled ByteBuf allocators are created:
one where caching
+ * is allowed (for transport servers) and one where not (for transport
clients).
+ * When disabled a new allocator is created for each transport servers and
clients.
+ */
+ public Boolean sharedByteBufAllocators() {
+ return conf.getBoolean("spark.network.sharedByteBufAllocators.enabled",
true);
Review comment:
@attilapiros
Sorry, my English is very bad.
We are using Structured Streaming, mainly to do some json parsing
calculations, write MYsql tasks, this problem will occur after a long time,
while processing 5 topics, each task 3 partitions, there are about 4 data per
second , each data size is about 5MB, the startup script:
Spark-submit \
--class ....... \
--driver-memory 3g \
--executor-memory 2g \
--executor-cores 6 \
--num-executors 3 \
.......
\\ 中文：Chinese
我们使用的是 Structured
Streaming,主要是做一些json解析计算，写入MYsql的任务，时间长了就会出现这个问题，同时处理5个topic，每个任务3个分区，每秒大概有4条数据，每条数据大小5MB左右，启动脚本：
spark-submit \
--class ....... \
--driver-memory 3g \
--executor-memory 2g \
--executor-cores 6 \
--num-executors 3 \
.......
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