Igor Calabria created KAFKA-6603:
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Summary: Kafka streams off heap memory usage does not match
expected values from configuration
Key: KAFKA-6603
URL: https://issues.apache.org/jira/browse/KAFKA-6603
Project: Kafka
Issue Type: Bug
Components: streams
Affects Versions: 1.0.0
Reporter: Igor Calabria
Hi, I have a simple aggregation pipeline that's backed by the default state
store(rocksdb). The pipeline works fine except that off heap the memory usage
is way higher than expected. Following the
[documention|https://docs.confluent.io/current/streams/developer-guide/config-streams.html#streams-developer-guide-rocksdb-config]
has some effect(memory usage is reduced) but the values don't match at all.
The java process is set to run with just `-Xmx300m -Xms300m` and rocksdb
config looks like this
{code:java}
tableConfig.setCacheIndexAndFilterBlocks(true);
tableConfig.setBlockCacheSize(1048576); //1MB
tableConfig.setBlockSize(16 * 1024); // 16KB
options.setTableFormatConfig(tableConfig);
options.setMaxWriteBufferNumber(2);
options.setWriteBufferSize(8 * 1024); // 8KB{code}
To estimate memory usage, I'm using this formula
{noformat}
(block_cache_size + write_buffer_size * write_buffer_number) * segments *
partitions{noformat}
Since my topic has 25 partitions with 3 segments each(it's a windowed store),
off heap memory usage should be about 76MB. What I'm seeing in production is
upwards of 300MB, even taking in consideration extra overhead from rocksdb
compaction threads, this seems a bit high (especially when the disk usage for
all files is just 1GB)
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