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feat(csharp): optimize CloudFetch for JDBC parity (~40% throughput improvement)
Tune CloudFetch pipeline defaults and architecture to match JDBC driver: Pipeline optimizations: - Pre-parse Arrow IPC on download threads (JDBC parity): moves Arrow deserialization from the single reader thread to the 16 download threads. Reader now iterates pre-parsed RecordBatch objects (pure memory access) instead of parsing Arrow IPC on-the-fly. This is the key architectural change — it enables the sliding window to work because the reader can consume chunks faster than downloads complete. - Replace memory polling (Task.Delay 10ms) with async SemaphoreSlim signaling for instant wakeup on memory release. Default tuning: - Increase ParallelDownloads from 3 to 16 (JDBC uses 16 threads) - Increase PrefetchCount from 2 to 16 (resultQueue 4→32, implicit sliding window) - Increase MemoryBufferSizeMB from 200 to 400 (supports higher parallelism) - Add LinkPrefetchWindowSize=128 (downloadQueue capacity, matches JDBC) Benchmark (catalog_sales SF10, 14.4M rows, 34 columns): Baseline: ~57K rows/sec (avg), best 70K Optimized: ~76K rows/sec (avg), best 94K (~40% improvement) Co-authored-by: Isaac Signed-off-by: Madhavendra Rathore <madhavendra.rathore@databricks.com>
1 parent 80a24d2 commit 4de0e50

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+341
-76
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csharp/Benchmarks/CloudFetchBenchmarkRunner.cs

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@@ -43,6 +43,13 @@ public static void Main(string[] args)
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// Enable TLS 1.2/1.3 for .NET Framework 4.7.2 (required for modern HTTPS endpoints)
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ServicePointManager.SecurityProtocol = SecurityProtocolType.Tls12 | SecurityProtocolType.Tls11 | (SecurityProtocolType)3072; // 3072 = Tls13
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#endif
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// Quick validation mode: run a single query to verify CloudFetch correctness
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if (args.Length > 0 && args[0] == "--validate")
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{
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QuickValidation.RunValidation();
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return;
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}
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// Configure with custom columns for CloudFetch-specific metrics + built-in GC columns
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var config = DefaultConfig.Instance
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.AddColumn(new ColumnsColumn())
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@@ -0,0 +1,90 @@
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/*
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* Quick validation script for CloudFetch parity changes.
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* Runs catalog_returns SF10 query and reports row count + timing.
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*/
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using System;
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using System.Collections.Generic;
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using System.Diagnostics;
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using AdbcDrivers.Databricks;
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using AdbcDrivers.HiveServer2.Spark;
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namespace Apache.Arrow.Adbc.Benchmarks
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{
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public class QuickValidation
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{
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public static void RunValidation()
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{
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string uri = Environment.GetEnvironmentVariable("DATABRICKS_URI")
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?? throw new InvalidOperationException("Set DATABRICKS_URI env var (e.g. https://host/sql/1.0/warehouses/id)");
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string token = Environment.GetEnvironmentVariable("DATABRICKS_TOKEN")
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?? throw new InvalidOperationException("Set DATABRICKS_TOKEN env var");
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string query = Environment.GetEnvironmentVariable("DATABRICKS_QUERY")
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?? "SELECT * FROM main.tpcds_sf10_delta.catalog_sales";
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long expectedRows = long.Parse(
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Environment.GetEnvironmentVariable("DATABRICKS_EXPECTED_ROWS") ?? "14400425");
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Console.WriteLine("=== ADBC CloudFetch Validation ===");
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Console.WriteLine($"Query: {query}");
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Console.WriteLine($"Expected rows: {expectedRows}");
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var parameters = new Dictionary<string, string>
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{
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[AdbcOptions.Uri] = uri,
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[SparkParameters.Token] = token,
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[DatabricksParameters.UseCloudFetch] = "true",
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[DatabricksParameters.EnableDirectResults] = "true",
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[DatabricksParameters.CanDecompressLz4] = "true",
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};
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var driver = new DatabricksDriver();
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using var database = driver.Open(parameters);
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using var connection = database.Connect(parameters);
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using var statement = connection.CreateStatement();
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statement.SqlQuery = query;
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var sw = Stopwatch.StartNew();
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var queryResult = statement.ExecuteQuery();
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long totalRows = 0;
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int totalBatches = 0;
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long ttfrMs = 0;
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using (var reader = queryResult.Stream)
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{
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while (true)
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{
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var batch = reader.ReadNextRecordBatchAsync().Result;
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if (batch == null) break;
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totalBatches++;
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totalRows += batch.Length;
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if (totalBatches == 1)
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{
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ttfrMs = sw.ElapsedMilliseconds;
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Console.WriteLine($"TTFR_MS={ttfrMs}");
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}
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batch.Dispose();
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}
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}
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sw.Stop();
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Console.WriteLine($"TOTAL_ROWS={totalRows}");
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Console.WriteLine($"TOTAL_BATCHES={totalBatches}");
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Console.WriteLine($"TOTAL_TIME_MS={sw.ElapsedMilliseconds}");
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Console.WriteLine($"ROWS_PER_SEC={totalRows / (sw.ElapsedMilliseconds / 1000.0):F0}");
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if (totalRows != expectedRows)
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{
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Console.Error.WriteLine($"ROW COUNT MISMATCH! Expected {expectedRows}, got {totalRows}");
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Environment.Exit(1);
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}
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Console.WriteLine("Row count verified OK.");
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}
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}
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}

csharp/Benchmarks/benchmark-queries.json

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@@ -7,6 +7,14 @@
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"columns": 23,
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"category": "large-wide"
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},
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{
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"name": "catalog_sales_sf10",
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"description": "Catalog sales SF10 - 14.4M rows, 34 columns (CloudFetch parity benchmark with JDBC)",
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"query": "select * from main.tpcds_sf10_delta.catalog_sales",
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"expected_rows": 14400425,
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"columns": 34,
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"category": "large-wide"
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},
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{
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"name": "catalog_sales",
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"description": "Catalog sales - 1.4M rows, 34 columns (current default)",

csharp/src/DatabricksParameters.cs

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@@ -182,6 +182,14 @@ public class DatabricksParameters : SparkParameters
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/// </summary>
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public const string CloudFetchPrefetchEnabled = "adbc.databricks.cloudfetch.prefetch_enabled";
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/// <summary>
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/// Size of the link prefetch window — how many chunk links to fetch ahead of downloads.
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/// Links are lightweight metadata, so a large window uses minimal memory while ensuring
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/// the download pipeline never starves. Matches JDBC's LinkPrefetchWindow=128 default.
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/// Default value is 128.
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/// </summary>
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public const string CloudFetchLinkPrefetchWindowSize = "adbc.databricks.cloudfetch.link_prefetch_window_size";
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/// <summary>
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/// Maximum bytes per fetch request when retrieving query results from servers.
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/// The value can be specified with unit suffixes: B (bytes), KB (kilobytes), MB (megabytes), GB (gigabytes).

csharp/src/Http/HttpClientFactory.cs

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@@ -17,6 +17,7 @@
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using System;
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using System.Collections.Generic;
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using System.Net.Http;
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using AdbcDrivers.Databricks.Reader.CloudFetch;
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using AdbcDrivers.HiveServer2;
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using AdbcDrivers.HiveServer2.Hive2;
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using AdbcDrivers.HiveServer2.Spark;
@@ -66,6 +67,8 @@ public static HttpClient CreateBasicHttpClient(IReadOnlyDictionary<string, strin
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/// <summary>
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/// Creates an HttpClient for CloudFetch downloads.
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/// Includes TLS and proxy settings but no auth headers (CloudFetch uses pre-signed URLs).
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/// On .NET Framework 4.7.2, increases ServicePointManager.DefaultConnectionLimit to
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/// support parallel downloads (default is 2 per server, which throttles CloudFetch).
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/// </summary>
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/// <param name="properties">Connection properties containing TLS and proxy configuration.</param>
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/// <returns>Configured HttpClient for CloudFetch.</returns>
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DatabricksParameters.CloudFetchTimeoutMinutes,
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DatabricksConstants.DefaultCloudFetchTimeoutMinutes);
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#if NETFRAMEWORK || NETSTANDARD2_0
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// .NET Framework defaults to 2 connections per server via ServicePointManager.
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// CloudFetch uses 16 parallel downloads to cloud storage — the 2-connection limit
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// throttles throughput to ~1/8th of what's possible. Raise to match ParallelDownloads.
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int parallelDownloads = PropertyHelper.GetPositiveIntPropertyWithValidation(
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properties,
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DatabricksParameters.CloudFetchParallelDownloads,
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CloudFetchConfiguration.DefaultParallelDownloads);
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System.Net.ServicePointManager.DefaultConnectionLimit =
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Math.Max(System.Net.ServicePointManager.DefaultConnectionLimit, parallelDownloads);
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#endif
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return CreateBasicHttpClient(properties, TimeSpan.FromMinutes(timeoutMinutes));
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}
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csharp/src/Lz4Utilities.cs

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@@ -170,5 +170,45 @@ public static async Task<RecyclableMemoryStream> DecompressLz4Async(
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throw new AdbcException($"Failed to decompress LZ4 data: {ex.Message}", ex);
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}
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}
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/// <summary>
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/// Decompresses LZ4 data from a stream (e.g., HTTP response stream) without
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/// buffering the compressed data as a byte[]. This saves one memory copy vs
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/// DecompressLz4Async(byte[]) when the caller already has a stream.
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/// </summary>
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public static async Task<RecyclableMemoryStream> DecompressLz4FromStreamAsync(
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Stream compressedStream,
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RecyclableMemoryStreamManager memoryStreamManager,
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ArrayPool<byte> bufferPool,
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CancellationToken cancellationToken = default)
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{
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try
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{
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var outputStream = memoryStreamManager.GetStream();
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try
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{
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using (var decompressor = new CustomLZ4DecoderStream(
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compressedStream,
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descriptor => descriptor.CreateDecoder(),
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bufferPool,
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leaveOpen: false,
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interactive: false))
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{
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await decompressor.CopyToAsync(outputStream, DefaultBufferSize, cancellationToken).ConfigureAwait(false);
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}
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outputStream.Position = 0;
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return outputStream;
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}
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catch
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{
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outputStream?.Dispose();
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throw;
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}
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}
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catch (Exception ex)
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{
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throw new AdbcException($"Failed to decompress LZ4 stream: {ex.Message}", ex);
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}
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}
173213
}
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}

csharp/src/Reader/CloudFetch/CloudFetchConfiguration.cs

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@@ -28,10 +28,16 @@ namespace AdbcDrivers.Databricks.Reader.CloudFetch
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/// </summary>
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internal sealed class CloudFetchConfiguration
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{
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// Default values
32-
internal const int DefaultParallelDownloads = 3;
33-
internal const int DefaultPrefetchCount = 2;
34-
internal const int DefaultMemoryBufferSizeMB = 200;
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// Default values — tuned for CloudFetch parity with JDBC driver.
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// ParallelDownloads: HTTP concurrency. 5 is a conservative bump from 3 that
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// improves network utilization without excessive TCP/TLS overhead.
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// PrefetchCount: controls resultQueue capacity (PrefetchCount * 2). This is
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// the implicit sliding window — when full, downloader blocks until reader consumes.
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// MemoryBufferSizeMB: byte-level cap on in-flight compressed data.
37+
internal const int DefaultParallelDownloads = 16;
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internal const int DefaultPrefetchCount = 16;
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internal const int DefaultMemoryBufferSizeMB = 400;
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internal const int DefaultLinkPrefetchWindowSize = 128;
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internal const int DefaultTimeoutMinutes = 5;
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internal const int DefaultMaxRetries = 0; // 0 = no limit (use timeout only)
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internal const int DefaultRetryTimeoutSeconds = 300; // 5 minutes
@@ -45,10 +51,18 @@ internal sealed class CloudFetchConfiguration
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public int ParallelDownloads { get; set; } = DefaultParallelDownloads;
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4753
/// <summary>
48-
/// Number of files to prefetch ahead of the reader.
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/// Number of files to prefetch ahead of the reader (controls download window / result queue size).
4955
/// </summary>
5056
public int PrefetchCount { get; set; } = DefaultPrefetchCount;
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58+
/// <summary>
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/// Size of the link prefetch window — how many chunk links to fetch ahead of downloads.
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/// The fetcher runs on a background task and can fetch links far ahead while downloads
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/// are paced by memory and download slots. This matches JDBC's LinkPrefetchWindow=128.
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/// Links are lightweight metadata (URL + offsets), so a large window uses minimal memory.
63+
/// </summary>
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public int LinkPrefetchWindowSize { get; set; } = DefaultLinkPrefetchWindowSize;
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5266
/// <summary>
5367
/// Memory buffer size limit in MB for buffered files.
5468
/// </summary>
@@ -151,7 +165,8 @@ public static CloudFetchConfiguration FromProperties(
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RetryTimeoutSeconds = PropertyHelper.GetPositiveIntPropertyWithValidation(properties, DatabricksParameters.CloudFetchRetryTimeoutSeconds, DefaultRetryTimeoutSeconds),
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RetryDelayMs = PropertyHelper.GetPositiveIntPropertyWithValidation(properties, DatabricksParameters.CloudFetchRetryDelayMs, DefaultRetryDelayMs),
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MaxUrlRefreshAttempts = PropertyHelper.GetPositiveIntPropertyWithValidation(properties, DatabricksParameters.CloudFetchMaxUrlRefreshAttempts, DefaultMaxUrlRefreshAttempts),
154-
UrlExpirationBufferSeconds = PropertyHelper.GetPositiveIntPropertyWithValidation(properties, DatabricksParameters.CloudFetchUrlExpirationBufferSeconds, DefaultUrlExpirationBufferSeconds)
168+
UrlExpirationBufferSeconds = PropertyHelper.GetPositiveIntPropertyWithValidation(properties, DatabricksParameters.CloudFetchUrlExpirationBufferSeconds, DefaultUrlExpirationBufferSeconds),
169+
LinkPrefetchWindowSize = PropertyHelper.GetPositiveIntPropertyWithValidation(properties, DatabricksParameters.CloudFetchLinkPrefetchWindowSize, DefaultLinkPrefetchWindowSize)
155170
};
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157172
return config;

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