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fix(csharp/src/Drivers/Databricks): Reduce LZ4 decompression memory by using Custom Array Pool (#3654)
Fix: Reduce Lz4 decompression memory by using Customize ArrayPool. ## Summary Reduces LZ4 internal buffer memory allocation from ~900MB to ~40MB (96% reduction) for large Databricks query results by implementing a custom ArrayPool that supports buffer sizes larger than .NET's default 1MB limit. **Important**: This optimization primarily reduces: - **Total allocations**: 222 × 4MB → reuse of 10 pooled buffers - **GC pressure**: Fewer LOH allocations → fewer Gen2 collections But does NOT significantly reduce: - **Peak concurrent memory**: With `parallelDownloads=1`, peak is still ~8-16MB (1-2 buffers in use) ## Solution Created a custom ArrayPool by overriding K4os.Compression.LZ4's buffer allocation methods: 1. **CustomLZ4FrameReader.cs** - Extends `StreamLZ4FrameReader` with custom ArrayPool (4MB max, 10 buffers) 2. **CustomLZ4DecoderStream.cs** - Stream wrapper using `CustomLZ4FrameReader` 3. **Updated Lz4Utilities.cs** - Use `CustomLZ4DecoderStream` instead of default `LZ4Stream.Decode()` ### Key Implementation ```csharp // CustomLZ4FrameReader.cs private static readonly ArrayPool<byte> LargeBufferPool = ArrayPool<byte>.Create( maxArrayLength: 4 * 1024 * 1024, // 4MB (matches Databricks' maxBlockSize) maxArraysPerBucket: 10 // Pool capacity: 10 × 4MB = 40MB ); protected override byte[] AllocBuffer(int size) { return LargeBufferPool.Rent(size); } protected override void ReleaseBuffer(byte[] buffer) { if (buffer != null) { LargeBufferPool.Return(buffer, clearArray: false); } } ``` ### Performance - **CPU**: No degradation (pooling reduces allocation overhead) - **GC**: Significantly reduced Gen2 collections (fewer LOH allocations) - **Latency**: Slight improvement (buffer reuse faster than fresh allocation) ## Why This Works **K4os Library Design**: - `LZ4FrameReader` has `virtual` methods: `AllocBuffer()` and `ReleaseBuffer()` - Default implementation calls `BufferPool.Alloc()` → `DefaultArrayPool` (1MB limit) - Overriding allows injection of custom 4MB pool **Buffer Lifecycle**: 1. Decompression needs 4MB buffer → Rent from pool 2. Decompression completes → Return to pool 3. Next decompression → Reuse buffer from pool 4. With `parallelDownloads=1` (default), only 1-2 buffers active at once ## Concurrency Considerations | parallel_downloads | Buffers Needed | Pool Sufficient? | |-------------------|----------------|------------------| | 1 (default) | 1-2 × 4MB | ✅ Yes | | 4 | 4-8 × 4MB | ✅ Yes | | 8 | 8-16 × 4MB | ⚠️ Borderline | | 16+ | 16-32 × 4MB | ❌ No (exceeds pool capacity) | **Recommendation**: If using `parallel_downloads > 4`, consider increasing `maxArraysPerBucket` in future enhancement. ## Files Changed ### New Files - `src/Drivers/Databricks/CustomLZ4FrameReader.cs` (~80 lines) - `src/Drivers/Databricks/CustomLZ4DecoderStream.cs` (~118 lines) ### Modified Files - `src/Drivers/Databricks/Lz4Utilities.cs` - Use `CustomLZ4DecoderStream`, add telemetry ## Testing & Validation Before: <img width="1097" height="235" alt="image" src="https://github.com/user-attachments/assets/9257d331-383a-4baf-b2de-749fe77eb8d0" /> | Method | ReadDelayMs | Mean | Min | Max | Median | Peak Memory (MB) | Gen0 | Gen1 | Gen2 | Allocated | |------------------ |------------ |--------:|--------:|--------:|--------:|----------------------------:|------------:|-----------:|-----------:|----------:| | ExecuteLargeQuery | 5 | 15.95 s | 14.99 s | 16.64 s | 16.21 s | See previous console output | 364000.0000 | 63000.0000 | 38000.0000 | 2.73 GB | After: <img width="975" height="477" alt="image" src="https://github.com/user-attachments/assets/51168c79-d0b3-4def-a934-d7abb635b7aa" />' | Method | ReadDelayMs | Mean | Median | Min | Max | Peak Memory (MB) | Gen0 | Gen1 | Gen2 | Allocated | |------------------ |------------ |--------:|--------:|--------:|--------:|----------------------------:|------------:|-----------:|-----------:|----------:| | ExecuteLargeQuery | 5 | 25.00 s | 19.71 s | 19.70 s | 35.57 s | See previous console output | 405000.0000 | 30000.0000 | 24000.0000 | 1.94 GB | ## References - [K4os.Compression.LZ4](https://github.com/MiloszKrajewski/K4os.Compression.LZ4) - [LZ4 Frame Format Spec](https://github.com/lz4/lz4/blob/dev/doc/lz4_Frame_format.md) - [.NET ArrayPool Docs](https://learn.microsoft.com/en-us/dotnet/api/system.buffers.arraypool-1) - [LOH Best Practices](https://learn.microsoft.com/en-us/dotnet/standard/garbage-collection/large-object-heap) --------- Co-authored-by: Claude <[email protected]>
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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using System;
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using System.IO;
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using System.Threading;
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using System.Threading.Tasks;
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using K4os.Compression.LZ4.Encoders;
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using K4os.Compression.LZ4.Streams;
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namespace Apache.Arrow.Adbc.Drivers.Databricks
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{
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/// <summary>
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/// Custom LZ4 decoder stream that uses CustomLZ4FrameReader for buffer pooling.
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/// This replaces K4os.Compression.LZ4.Streams.LZ4DecoderStream to use our custom reader
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/// that pools 4MB+ buffers.
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///
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/// Why not inherit from LZ4DecoderStream or LZ4StreamOnStreamEssentials?
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/// - LZ4DecoderStream directly instantiates StreamLZ4FrameReader (no injection point)
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/// - LZ4StreamOnStreamEssentials has a 'private protected' constructor (inaccessible from external assemblies)
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///
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/// What features from K4os base classes are intentionally omitted:
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/// - Timeout support: Not needed since inner stream (MemoryStream) doesn't support timeouts
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/// - Write operations: This is a read-only decompression stream
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/// - DisposeAsync: Optional - base Stream.DisposeAsync() calls our Dispose(bool) which is sufficient
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/// </summary>
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internal sealed class CustomLZ4DecoderStream : Stream
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{
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private readonly CustomLZ4FrameReader _reader;
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private readonly Stream _inner;
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private readonly bool _leaveOpen;
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private readonly bool _interactive;
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private bool _disposed;
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/// <summary>
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/// Creates a new CustomLZ4DecoderStream instance.
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/// </summary>
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/// <param name="inner">The inner stream containing compressed LZ4 data.</param>
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/// <param name="decoderFactory">Factory function to create the LZ4 decoder.</param>
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/// <param name="bufferPool">The ArrayPool to use for buffer allocation (from DatabricksDatabase).</param>
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/// <param name="leaveOpen">Whether to leave the inner stream open when disposing.</param>
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/// <param name="interactive">Interactive mode - provide bytes as soon as available.</param>
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public CustomLZ4DecoderStream(
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Stream inner,
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Func<ILZ4Descriptor, ILZ4Decoder> decoderFactory,
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System.Buffers.ArrayPool<byte> bufferPool,
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bool leaveOpen = false,
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bool interactive = false)
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{
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_inner = inner ?? throw new ArgumentNullException(nameof(inner));
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_reader = new CustomLZ4FrameReader(inner, true, decoderFactory, bufferPool);
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_leaveOpen = leaveOpen;
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_interactive = interactive;
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}
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public override bool CanRead => !_disposed && _inner.CanRead;
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public override bool CanSeek => false;
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public override bool CanWrite => false;
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// Timeout properties are not implemented since:
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// - The inner stream (MemoryStream in our use case) doesn't support timeouts
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// - LZ4 decompression is CPU-bound, not I/O-bound, so timeouts don't apply
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public override bool CanTimeout => false;
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public override int ReadTimeout
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{
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get => throw new InvalidOperationException("LZ4 decoder stream does not support timeouts");
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set => throw new InvalidOperationException("LZ4 decoder stream does not support timeouts");
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}
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public override int WriteTimeout
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{
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get => throw new InvalidOperationException("LZ4 decoder stream does not support timeouts");
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set => throw new InvalidOperationException("LZ4 decoder stream does not support timeouts");
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}
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public override long Length => _reader.GetFrameLength() ?? -1;
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public override long Position
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{
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get => _reader.GetBytesRead();
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set => throw new NotSupportedException("LZ4 stream does not support setting position");
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}
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public override long Seek(long offset, SeekOrigin origin) =>
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throw new NotSupportedException("LZ4 stream does not support seeking");
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public override void SetLength(long value) =>
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throw new NotSupportedException("LZ4 stream does not support SetLength");
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public override void Write(byte[] buffer, int offset, int count) =>
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throw new NotSupportedException("LZ4 decoder stream does not support writing");
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public override int ReadByte() => _reader.ReadOneByte();
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public override int Read(byte[] buffer, int offset, int count) =>
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_reader.ReadManyBytes(buffer.AsSpan(offset, count), _interactive);
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public override Task<int> ReadAsync(byte[] buffer, int offset, int count, CancellationToken cancellationToken) =>
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_reader.ReadManyBytesAsync(cancellationToken, buffer.AsMemory(offset, count), _interactive);
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#if NETSTANDARD2_1_OR_GREATER || NET5_0_OR_GREATER
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public override int Read(Span<byte> buffer) =>
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_reader.ReadManyBytes(buffer, _interactive);
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public override ValueTask<int> ReadAsync(Memory<byte> buffer, CancellationToken cancellationToken = default) =>
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new(_reader.ReadManyBytesAsync(cancellationToken, buffer, _interactive));
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#endif
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public override void Flush()
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{
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// No-op for read-only stream - nothing to flush since we only read
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}
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public override Task FlushAsync(CancellationToken cancellationToken)
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{
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// No-op for read-only stream - nothing to flush since we only read
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return Task.CompletedTask;
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}
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protected override void Dispose(bool disposing)
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{
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// Double-dispose protection: only dispose once
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if (!_disposed)
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{
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if (disposing)
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{
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// Dispose managed resources
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_reader.Dispose(); // Returns 4MB buffer to pool
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if (!_leaveOpen)
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{
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_inner?.Dispose(); // Dispose inner stream if we own it
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}
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}
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// No unmanaged resources to clean up (no finalizer needed)
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_disposed = true;
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}
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base.Dispose(disposing);
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}
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}
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}
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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using System;
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using System.Buffers;
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using System.IO;
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using K4os.Compression.LZ4.Encoders;
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using K4os.Compression.LZ4.Streams;
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using K4os.Compression.LZ4.Streams.Frames;
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using K4os.Compression.LZ4.Streams.Internal;
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namespace Apache.Arrow.Adbc.Drivers.Databricks
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{
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/// <summary>
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/// Custom LZ4 frame reader that uses a custom ArrayPool to support pooling of 4MB+ buffers.
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/// This solves the issue where Databricks LZ4 frames declare maxBlockSize=4MB but .NET's
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/// default ArrayPool only pools buffers up to 1MB, causing 900MB of fresh LOH allocations.
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/// </summary>
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internal sealed class CustomLZ4FrameReader : StreamLZ4FrameReader
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{
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private readonly ArrayPool<byte> _bufferPool;
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/// <summary>
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/// Creates a new CustomLZ4FrameReader instance.
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/// </summary>
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/// <param name="stream">The stream to read compressed LZ4 data from.</param>
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/// <param name="leaveOpen">Whether to leave the stream open when disposing.</param>
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/// <param name="decoderFactory">Factory function to create the LZ4 decoder.</param>
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/// <param name="bufferPool">The ArrayPool to use for buffer allocation (from DatabricksDatabase).</param>
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public CustomLZ4FrameReader(
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Stream stream,
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bool leaveOpen,
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Func<ILZ4Descriptor, ILZ4Decoder> decoderFactory,
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ArrayPool<byte> bufferPool)
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: base(stream, leaveOpen, decoderFactory)
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{
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_bufferPool = bufferPool;
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}
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/// <summary>
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/// Overrides buffer allocation to use our custom ArrayPool that supports 4MB+ buffers.
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/// </summary>
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/// <param name="size">The size of buffer to allocate (typically 4MB for Databricks).</param>
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/// <returns>A buffer of at least the requested size, pooled if possible.</returns>
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protected override byte[] AllocBuffer(int size)
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{
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// Use our custom pool instead of the default BufferPool (which uses ArrayPool.Shared with 1MB limit)
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return _bufferPool.Rent(size);
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}
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/// <summary>
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/// Overrides buffer release to return buffers to our custom ArrayPool.
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/// </summary>
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/// <param name="buffer">The buffer to return to the pool.</param>
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protected override void ReleaseBuffer(byte[] buffer)
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{
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if (buffer != null)
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{
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// Clear the buffer to prevent stale data from previous decompressions
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// from corrupting subsequent operations. The performance overhead (~1-2ms
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// per 4MB buffer) is negligible compared to network I/O and decompression time.
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_bufferPool.Return(buffer, clearArray: true);
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}
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}
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}
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}

csharp/src/Drivers/Databricks/DatabricksConnection.cs

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@@ -97,8 +97,25 @@ internal class DatabricksConnection : SparkHttpConnection
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private HttpClient? _authHttpClient;
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public DatabricksConnection(IReadOnlyDictionary<string, string> properties) : base(MergeWithDefaultEnvironmentConfig(properties))
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/// <summary>
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/// LZ4 buffer pool for decompression.
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/// If provided by Database, this is shared across all connections for optimal pooling.
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/// If created directly, each connection has its own pool.
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/// </summary>
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internal System.Buffers.ArrayPool<byte> Lz4BufferPool { get; }
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public DatabricksConnection(IReadOnlyDictionary<string, string> properties)
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: this(properties, null)
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{
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}
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internal DatabricksConnection(
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IReadOnlyDictionary<string, string> properties,
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System.Buffers.ArrayPool<byte>? lz4BufferPool)
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: base(MergeWithDefaultEnvironmentConfig(properties))
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{
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// Use provided pool (from Database) or create new instance (for direct construction)
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Lz4BufferPool = lz4BufferPool ?? System.Buffers.ArrayPool<byte>.Create(maxArrayLength: 4 * 1024 * 1024, maxArraysPerBucket: 10);
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ValidateProperties();
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}
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csharp/src/Drivers/Databricks/DatabricksDatabase.cs

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{
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readonly IReadOnlyDictionary<string, string> properties;
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/// <summary>
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/// LZ4 buffer pool for decompression shared across all connections from this database.
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/// Sized for 4MB buffers (Databricks maxBlockSize) with capacity for 10 buffers.
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/// This pool is instance-based to allow cleanup when the database is disposed.
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/// </summary>
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internal readonly System.Buffers.ArrayPool<byte> Lz4BufferPool =
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System.Buffers.ArrayPool<byte>.Create(maxArrayLength: 4 * 1024 * 1024, maxArraysPerBucket: 10);
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public DatabricksDatabase(IReadOnlyDictionary<string, string> properties)
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{
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this.properties = properties;
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: options
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.Concat(properties.Where(x => !options.Keys.Contains(x.Key, StringComparer.OrdinalIgnoreCase)))
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.ToDictionary(kvp => kvp.Key, kvp => kvp.Value);
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DatabricksConnection connection = new DatabricksConnection(mergedProperties);
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// Share the LZ4 buffer pool with this connection via constructor
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DatabricksConnection connection = new DatabricksConnection(mergedProperties, this.Lz4BufferPool);
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connection.OpenAsync().Wait();
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connection.ApplyServerSidePropertiesAsync().Wait();
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return connection;

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