Replace multipart download with parallel file download #10519
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Compatibility status:Checks if related components are compatible with change d4cca9a Incompatible componentsIncompatible components: [https://github.com/opensearch-project/performance-analyzer-rca.git, https://github.com/opensearch-project/asynchronous-search.git] Skipped componentsCompatible componentsCompatible components: [https://github.com/opensearch-project/security-analytics.git, https://github.com/opensearch-project/custom-codecs.git, https://github.com/opensearch-project/security.git, https://github.com/opensearch-project/opensearch-oci-object-storage.git, https://github.com/opensearch-project/index-management.git, https://github.com/opensearch-project/geospatial.git, https://github.com/opensearch-project/job-scheduler.git, https://github.com/opensearch-project/sql.git, https://github.com/opensearch-project/notifications.git, https://github.com/opensearch-project/observability.git, https://github.com/opensearch-project/k-nn.git, https://github.com/opensearch-project/neural-search.git, https://github.com/opensearch-project/cross-cluster-replication.git, https://github.com/opensearch-project/alerting.git, https://github.com/opensearch-project/performance-analyzer.git, https://github.com/opensearch-project/anomaly-detection.git, https://github.com/opensearch-project/common-utils.git, https://github.com/opensearch-project/reporting.git] |
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There are a few open issues with the multi-stream download approach: - Recovery stats are not being reported correctly - It is incompatible (short of reopening and re-reading the entire file) with the existing Lucene checksum validation logic - There are some issues with integrating it with the pending client side encryption work Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository). I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files. Signed-off-by: Andrew Ross <andrross@amazon.com>
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kotwanikunal
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The backport to To backport manually, run these commands in your terminal: # Navigate to the root of your repository
cd $(git rev-parse --show-toplevel)
# Fetch latest updates from GitHub
git fetch
# Create a new working tree
git worktree add ../.worktrees/OpenSearch/backport-2.11 2.11
# Navigate to the new working tree
pushd ../.worktrees/OpenSearch/backport-2.11
# Create a new branch
git switch --create backport/backport-10519-to-2.11
# Cherry-pick the merged commit of this pull request and resolve the conflicts
git cherry-pick -x --mainline 1 00ccfc49f3aa2bf06ddc22ff8f0bc24790b222da
# Push it to GitHub
git push --set-upstream origin backport/backport-10519-to-2.11
# Go back to the original working tree
popd
# Delete the working tree
git worktree remove ../.worktrees/OpenSearch/backport-2.11Then, create a pull request where the |
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There are a few open issues with the multi-stream download approach: - Recovery stats are not being reported correctly - It is incompatible (short of reopening and re-reading the entire file) with the existing Lucene checksum validation logic - There are some issues with integrating it with the pending client side encryption work Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository). I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files. Signed-off-by: Andrew Ross <andrross@amazon.com> (cherry picked from commit 00ccfc4) Signed-off-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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…oject#10519) There are a few open issues with the multi-stream download approach: - Recovery stats are not being reported correctly - It is incompatible (short of reopening and re-reading the entire file) with the existing Lucene checksum validation logic - There are some issues with integrating it with the pending client side encryption work Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository). I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files. Signed-off-by: Andrew Ross <andrross@amazon.com> (cherry picked from commit 00ccfc4)
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…oject#10519) There are a few open issues with the multi-stream download approach: - Recovery stats are not being reported correctly - It is incompatible (short of reopening and re-reading the entire file) with the existing Lucene checksum validation logic - There are some issues with integrating it with the pending client side encryption work Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository). I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files. Signed-off-by: Andrew Ross <andrross@amazon.com> (cherry picked from commit 00ccfc4) Signed-off-by: Andrew Ross <andrross@amazon.com>
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There are a few open issues with the multi-stream download approach: - Recovery stats are not being reported correctly - It is incompatible (short of reopening and re-reading the entire file) with the existing Lucene checksum validation logic - There are some issues with integrating it with the pending client side encryption work Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository). I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files. (cherry picked from commit 00ccfc4) Signed-off-by: Andrew Ross <andrross@amazon.com> Signed-off-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
kotwanikunal
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There are a few open issues with the multi-stream download approach: - Recovery stats are not being reported correctly - It is incompatible (short of reopening and re-reading the entire file) with the existing Lucene checksum validation logic - There are some issues with integrating it with the pending client side encryption work Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository). I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files. (cherry picked from commit 00ccfc4) Signed-off-by: Andrew Ross <andrross@amazon.com>
deshsidd
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Oct 19, 2023
…oject#10519) There are a few open issues with the multi-stream download approach: - Recovery stats are not being reported correctly - It is incompatible (short of reopening and re-reading the entire file) with the existing Lucene checksum validation logic - There are some issues with integrating it with the pending client side encryption work Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository). I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files. Signed-off-by: Andrew Ross <andrross@amazon.com> Signed-off-by: Siddhant Deshmukh <deshsid@amazon.com>
austintlee
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Oct 23, 2023
…oject#10519) There are a few open issues with the multi-stream download approach: - Recovery stats are not being reported correctly - It is incompatible (short of reopening and re-reading the entire file) with the existing Lucene checksum validation logic - There are some issues with integrating it with the pending client side encryption work Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository). I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files. Signed-off-by: Andrew Ross <andrross@amazon.com>
austintlee
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Oct 23, 2023
…oject#10519) There are a few open issues with the multi-stream download approach: - Recovery stats are not being reported correctly - It is incompatible (short of reopening and re-reading the entire file) with the existing Lucene checksum validation logic - There are some issues with integrating it with the pending client side encryption work Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository). I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files. Signed-off-by: Andrew Ross <andrross@amazon.com>
austintlee
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Dec 13, 2023
…oject#10519) There are a few open issues with the multi-stream download approach: - Recovery stats are not being reported correctly - It is incompatible (short of reopening and re-reading the entire file) with the existing Lucene checksum validation logic - There are some issues with integrating it with the pending client side encryption work Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository). I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files. Signed-off-by: Andrew Ross <andrross@amazon.com>
austintlee
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Jan 19, 2024
…oject#10519) There are a few open issues with the multi-stream download approach: - Recovery stats are not being reported correctly - It is incompatible (short of reopening and re-reading the entire file) with the existing Lucene checksum validation logic - There are some issues with integrating it with the pending client side encryption work Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository). I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files. Signed-off-by: Andrew Ross <andrross@amazon.com>
austintlee
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Jan 19, 2024
…oject#10519) There are a few open issues with the multi-stream download approach: - Recovery stats are not being reported correctly - It is incompatible (short of reopening and re-reading the entire file) with the existing Lucene checksum validation logic - There are some issues with integrating it with the pending client side encryption work Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository). I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files. Signed-off-by: Andrew Ross <andrross@amazon.com>
austintlee
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Feb 6, 2024
…oject#10519) There are a few open issues with the multi-stream download approach: - Recovery stats are not being reported correctly - It is incompatible (short of reopening and re-reading the entire file) with the existing Lucene checksum validation logic - There are some issues with integrating it with the pending client side encryption work Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository). I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files. Signed-off-by: Andrew Ross <andrross@amazon.com>
austintlee
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…oject#10519) There are a few open issues with the multi-stream download approach: - Recovery stats are not being reported correctly - It is incompatible (short of reopening and re-reading the entire file) with the existing Lucene checksum validation logic - There are some issues with integrating it with the pending client side encryption work Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository). I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files. Signed-off-by: Andrew Ross <andrross@amazon.com>
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Apr 25, 2024
…oject#10519) There are a few open issues with the multi-stream download approach: - Recovery stats are not being reported correctly - It is incompatible (short of reopening and re-reading the entire file) with the existing Lucene checksum validation logic - There are some issues with integrating it with the pending client side encryption work Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository). I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files. Signed-off-by: Andrew Ross <andrross@amazon.com> Signed-off-by: Shivansh Arora <hishiv@amazon.com>
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There are a few open issues with the multi-stream download approach:
Given this, I attempted an experiment where I replaced with multi-stream-within-a-single-file approach with simply parallelizing downloads across files (this is how snapshot restore works). I actually got better results with this approach: recovering a ~52GiB shard took about 4.7 minutes with the multi-stream code versus 3.9 minutes with the parallel file approach (r7g.4xlarge EC2 instance, 500MiB/s EBS volume, S3 as remote repository).
I think this is the right approach as it leverages the more battle-tested code path and addresses the three issues listed above. The multi-stream approach still has promise as it will allow us to download very large files faster (whereas this approach they can be the long poll on the transfer operation). However, given that 5GB segments (made up of multiple files in practice) are the norm, we generally aren't dealing with huge files.
Related Issues
Resolves #10516
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