Significantly Lower Monitoring HttpExport Memory Footprint #48854
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The `HttpExportBulk` exporter is using a lot more memory than it needs to by allocating buffers for serialization and IO: * Remove copying of all bytes when flushing, instead use the stream wrapper * Remove copying step turning the BAOS into a `byte[]` * This also avoids the allocation of a single huge `byte[]` and instead makes use of the internal paging logic of the `BytesStreamOutput` * Don't allocate a new BAOS for every document, just keep appending to a single BAOS
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Pinging @elastic/es-core-features (:Core/Features/Monitoring) |
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| return BytesReference.toBytes(out.bytes()); | ||
| } catch (Exception e) { | ||
| logger.warn((Supplier<?>) () -> new ParameterizedMessage("failed to render document [{}], skipping it [{}]", doc, name), e); |
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This is hard to model with streaming IO, but to me catch and appending an empty byte array seems bogus here and not worth retaining (there's no test covering this case and we should simply make sure out documents that we have full control over serialise shouldn't we?).
jakelandis
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Nov 11, 2019
...onitoring/src/main/java/org/elasticsearch/xpack/monitoring/exporter/http/HttpExportBulk.java
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jakelandis
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Nov 11, 2019
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npnp @jakelandis thanks for reviewing! |
original-brownbear
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Nov 11, 2019
…8854) The `HttpExportBulk` exporter is using a lot more memory than it needs to by allocating buffers for serialization and IO: * Remove copying of all bytes when flushing, instead use the stream wrapper * Remove copying step turning the BAOS into a `byte[]` * This also avoids the allocation of a single huge `byte[]` and instead makes use of the internal paging logic of the `BytesStreamOutput` * Don't allocate a new BAOS for every document, just keep appending to a single BAOS
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Nov 12, 2019
…48966) The `HttpExportBulk` exporter is using a lot more memory than it needs to by allocating buffers for serialization and IO: * Remove copying of all bytes when flushing, instead use the stream wrapper * Remove copying step turning the BAOS into a `byte[]` * This also avoids the allocation of a single huge `byte[]` and instead makes use of the internal paging logic of the `BytesStreamOutput` * Don't allocate a new BAOS for every document, just keep appending to a single BAOS
This was referenced Feb 3, 2020
original-brownbear
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May 8, 2020
Even with changes from elastic#48854 we're still seeing significant (as in tens and hundreds of MB) buffer usage for bulk exports in some cases which destabilizes master nodes. Since we need to know the serialized length of the bulk body we can't do the serialization in a streaming manner. (also it's not easily doable with the HTTP client API we're using anyway). => let's at least serialize on heap in compressed form and decompress as we're streaming to the http connection. For small requests this adds negligible overhead but for large requests this reduces the size of the payload field by about an order of magnitude (empirically determined) which is a massive reduction in size when considering O(100MB) bulk requests.
original-brownbear
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May 8, 2020
Even with changes from #48854 we're still seeing significant (as in tens and hundreds of MB) buffer usage for bulk exports in some cases which destabilizes master nodes. Since we need to know the serialized length of the bulk body we can't do the serialization in a streaming manner. (also it's not easily doable with the HTTP client API we're using anyway). => let's at least serialize on heap in compressed form and decompress as we're streaming to the HTTP connection. For small requests this adds negligible overhead but for large requests this reduces the size of the payload field by about an order of magnitude (empirically determined) which is a massive reduction in size when considering O(100MB) bulk requests.
original-brownbear
added a commit
to original-brownbear/elasticsearch
that referenced
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May 8, 2020
Even with changes from elastic#48854 we're still seeing significant (as in tens and hundreds of MB) buffer usage for bulk exports in some cases which destabilizes master nodes. Since we need to know the serialized length of the bulk body we can't do the serialization in a streaming manner. (also it's not easily doable with the HTTP client API we're using anyway). => let's at least serialize on heap in compressed form and decompress as we're streaming to the HTTP connection. For small requests this adds negligible overhead but for large requests this reduces the size of the payload field by about an order of magnitude (empirically determined) which is a massive reduction in size when considering O(100MB) bulk requests.
original-brownbear
added a commit
that referenced
this pull request
May 8, 2020
Even with changes from #48854 we're still seeing significant (as in tens and hundreds of MB) buffer usage for bulk exports in some cases which destabilizes master nodes. Since we need to know the serialized length of the bulk body we can't do the serialization in a streaming manner. (also it's not easily doable with the HTTP client API we're using anyway). => let's at least serialize on heap in compressed form and decompress as we're streaming to the HTTP connection. For small requests this adds negligible overhead but for large requests this reduces the size of the payload field by about an order of magnitude (empirically determined) which is a massive reduction in size when considering O(100MB) bulk requests.
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The
HttpExportBulkexporter is using a lot more memory than it needs toby allocating buffers for serialization and IO:
byte[]byte[]and instead makes use of the internal paging logic of theBytesStreamOutput