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Implement ORC chunked reader #15094

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@ttnghia ttnghia commented Feb 20, 2024

This implements ORC chunked reader, to support reading ORC such that:

  • The output is multiple tables instead of once, each of them is issue when calling to read_chunk(), and has limited size which stays within a given output_limit parameter.
  • The temporary device memory usage can be limited by a soft limit data_read_limit parameter, allowing to read very large ORC files without OOM.
  • ORC files containing many billions of rows can be properly read chunk-by-chunk without seeing the size overflow issue when the number of rows exceeds cudf size limit (2^31 rows).

Depends on:

Partially contribute to #12228.


Benchmarks

Due to some small optimizations in ORC reader, reading ORC files all-at-once (reading the entire file into just one output table) can be a little bit faster. For example, with the benchmark orc_read_io_compression:

## [0] Quadro RTX 6000

|      io       |  compression  |  cardinality  |  run_length  |   Ref Time |   Ref Noise |   Cmp Time |   Cmp Noise |          Diff |   %Diff |  Status  |
|---------------|---------------|---------------|--------------|------------|-------------|------------|-------------|---------------|---------|----------|
|   FILEPATH    |    SNAPPY     |       0       |      1       | 183.027 ms |       7.45% | 157.293 ms |       4.72% | -25733.837 us | -14.06% |   FAIL   |
|   FILEPATH    |    SNAPPY     |     1000      |      1       | 198.228 ms |       6.43% | 164.395 ms |       4.14% | -33833.020 us | -17.07% |   FAIL   |
|   FILEPATH    |    SNAPPY     |       0       |      32      |  96.676 ms |       6.19% |  82.522 ms |       1.36% | -14153.945 us | -14.64% |   FAIL   |
|   FILEPATH    |    SNAPPY     |     1000      |      32      |  94.508 ms |       4.80% |  81.078 ms |       0.48% | -13429.672 us | -14.21% |   FAIL   |
|   FILEPATH    |     NONE      |       0       |      1       | 161.868 ms |       5.40% | 139.849 ms |       2.44% | -22018.910 us | -13.60% |   FAIL   |
|   FILEPATH    |     NONE      |     1000      |      1       | 164.902 ms |       5.80% | 142.041 ms |       3.43% | -22861.258 us | -13.86% |   FAIL   |
|   FILEPATH    |     NONE      |       0       |      32      |  88.298 ms |       5.15% |  74.924 ms |       1.97% | -13374.607 us | -15.15% |   FAIL   |
|   FILEPATH    |     NONE      |     1000      |      32      |  87.147 ms |       5.61% |  72.502 ms |       0.50% | -14645.122 us | -16.81% |   FAIL   |
|  HOST_BUFFER  |    SNAPPY     |       0       |      1       | 124.990 ms |       0.39% | 111.670 ms |       2.13% | -13320.483 us | -10.66% |   FAIL   |
|  HOST_BUFFER  |    SNAPPY     |     1000      |      1       | 149.858 ms |       4.10% | 126.266 ms |       0.48% | -23591.543 us | -15.74% |   FAIL   |
|  HOST_BUFFER  |    SNAPPY     |       0       |      32      |  92.499 ms |       4.46% |  77.653 ms |       1.58% | -14846.471 us | -16.05% |   FAIL   |
|  HOST_BUFFER  |    SNAPPY     |     1000      |      32      |  93.373 ms |       4.14% |  80.033 ms |       3.19% | -13340.002 us | -14.29% |   FAIL   |
|  HOST_BUFFER  |     NONE      |       0       |      1       | 111.792 ms |       0.50% |  97.083 ms |       0.50% | -14709.530 us | -13.16% |   FAIL   |
|  HOST_BUFFER  |     NONE      |     1000      |      1       | 117.646 ms |       5.60% |  97.634 ms |       0.44% | -20012.301 us | -17.01% |   FAIL   |
|  HOST_BUFFER  |     NONE      |       0       |      32      |  84.983 ms |       4.96% |  66.975 ms |       0.50% | -18007.403 us | -21.19% |   FAIL   |
|  HOST_BUFFER  |     NONE      |     1000      |      32      |  82.648 ms |       4.42% |  65.510 ms |       0.91% | -17137.910 us | -20.74% |   FAIL   |
| DEVICE_BUFFER |    SNAPPY     |       0       |      1       |  65.538 ms |       4.02% |  59.399 ms |       2.54% |  -6138.560 us |  -9.37% |   FAIL   |
| DEVICE_BUFFER |    SNAPPY     |     1000      |      1       | 101.427 ms |       4.10% |  92.276 ms |       3.30% |  -9150.278 us |  -9.02% |   FAIL   |
| DEVICE_BUFFER |    SNAPPY     |       0       |      32      |  80.133 ms |       4.64% |  73.959 ms |       3.50% |  -6173.818 us |  -7.70% |   FAIL   |
| DEVICE_BUFFER |    SNAPPY     |     1000      |      32      |  86.232 ms |       4.71% |  77.446 ms |       3.32% |  -8786.606 us | -10.19% |   FAIL   |
| DEVICE_BUFFER |     NONE      |       0       |      1       |  52.189 ms |       6.62% |  45.018 ms |       4.11% |  -7171.043 us | -13.74% |   FAIL   |
| DEVICE_BUFFER |     NONE      |     1000      |      1       |  54.664 ms |       6.76% |  46.855 ms |       3.35% |  -7809.803 us | -14.29% |   FAIL   |
| DEVICE_BUFFER |     NONE      |       0       |      32      |  67.975 ms |       5.12% |  60.553 ms |       4.22% |  -7422.279 us | -10.92% |   FAIL   |
| DEVICE_BUFFER |     NONE      |     1000      |      32      |  68.485 ms |       4.86% |  62.253 ms |       6.23% |  -6232.340 us |  -9.10% |   FAIL   |

When memory is limited, chunked read can help avoiding OOM but with some sort of performance trade-off. For example, for reading a table of size 500MB from file using 64MB output limits and 640 MB data read limit:

|      io       |  compression  |  cardinality  |  run_length  |   Ref Time |   Ref Noise |   Cmp Time |   Cmp Noise |       Diff |   %Diff |  Status  |
|---------------|---------------|---------------|--------------|------------|-------------|------------|-------------|------------|---------|----------|
|   FILEPATH    |    SNAPPY     |       0       |      1       | 183.027 ms |       7.45% | 350.824 ms |       2.74% | 167.796 ms |  91.68% |   FAIL   |
|   FILEPATH    |    SNAPPY     |     1000      |      1       | 198.228 ms |       6.43% | 322.414 ms |       3.46% | 124.186 ms |  62.65% |   FAIL   |
|   FILEPATH    |    SNAPPY     |       0       |      32      |  96.676 ms |       6.19% | 133.363 ms |       4.78% |  36.686 ms |  37.95% |   FAIL   |
|   FILEPATH    |    SNAPPY     |     1000      |      32      |  94.508 ms |       4.80% | 128.897 ms |       0.37% |  34.389 ms |  36.39% |   FAIL   |
|   FILEPATH    |     NONE      |       0       |      1       | 161.868 ms |       5.40% | 316.637 ms |       4.21% | 154.769 ms |  95.61% |   FAIL   |
|   FILEPATH    |     NONE      |     1000      |      1       | 164.902 ms |       5.80% | 326.043 ms |       3.06% | 161.141 ms |  97.72% |   FAIL   |
|   FILEPATH    |     NONE      |       0       |      32      |  88.298 ms |       5.15% | 124.819 ms |       5.17% |  36.520 ms |  41.36% |   FAIL   |
|   FILEPATH    |     NONE      |     1000      |      32      |  87.147 ms |       5.61% | 123.047 ms |       5.82% |  35.900 ms |  41.19% |   FAIL   |
|  HOST_BUFFER  |    SNAPPY     |       0       |      1       | 124.990 ms |       0.39% | 285.718 ms |       0.78% | 160.728 ms | 128.59% |   FAIL   |
|  HOST_BUFFER  |    SNAPPY     |     1000      |      1       | 149.858 ms |       4.10% | 263.491 ms |       2.89% | 113.633 ms |  75.83% |   FAIL   |
|  HOST_BUFFER  |    SNAPPY     |       0       |      32      |  92.499 ms |       4.46% | 127.881 ms |       0.86% |  35.382 ms |  38.25% |   FAIL   |
|  HOST_BUFFER  |    SNAPPY     |     1000      |      32      |  93.373 ms |       4.14% | 128.022 ms |       0.98% |  34.650 ms |  37.11% |   FAIL   |
|  HOST_BUFFER  |     NONE      |       0       |      1       | 111.792 ms |       0.50% | 241.064 ms |       1.89% | 129.271 ms | 115.64% |   FAIL   |
|  HOST_BUFFER  |     NONE      |     1000      |      1       | 117.646 ms |       5.60% | 248.134 ms |       3.08% | 130.488 ms | 110.92% |   FAIL   |
|  HOST_BUFFER  |     NONE      |       0       |      32      |  84.983 ms |       4.96% | 118.049 ms |       5.99% |  33.066 ms |  38.91% |   FAIL   |
|  HOST_BUFFER  |     NONE      |     1000      |      32      |  82.648 ms |       4.42% | 114.577 ms |       2.34% |  31.929 ms |  38.63% |   FAIL   |
| DEVICE_BUFFER |    SNAPPY     |       0       |      1       |  65.538 ms |       4.02% | 232.466 ms |       3.28% | 166.928 ms | 254.71% |   FAIL   |
| DEVICE_BUFFER |    SNAPPY     |     1000      |      1       | 101.427 ms |       4.10% | 221.578 ms |       1.43% | 120.152 ms | 118.46% |   FAIL   |
| DEVICE_BUFFER |    SNAPPY     |       0       |      32      |  80.133 ms |       4.64% | 120.604 ms |       0.35% |  40.471 ms |  50.50% |   FAIL   |
| DEVICE_BUFFER |    SNAPPY     |     1000      |      32      |  86.232 ms |       4.71% | 125.521 ms |       3.93% |  39.289 ms |  45.56% |   FAIL   |
| DEVICE_BUFFER |     NONE      |       0       |      1       |  52.189 ms |       6.62% | 182.943 ms |       0.29% | 130.754 ms | 250.54% |   FAIL   |
| DEVICE_BUFFER |     NONE      |     1000      |      1       |  54.664 ms |       6.76% | 190.501 ms |       0.49% | 135.836 ms | 248.49% |   FAIL   |
| DEVICE_BUFFER |     NONE      |       0       |      32      |  67.975 ms |       5.12% | 107.172 ms |       3.56% |  39.197 ms |  57.66% |   FAIL   |
| DEVICE_BUFFER |     NONE      |     1000      |      32      |  68.485 ms |       4.86% | 108.097 ms |       2.92% |  39.611 ms |  57.84% |   FAIL   |

And if memory is too limited, chunked read with 8MB output limit/80MB data read limit:

|      io       |  compression  |  cardinality  |  run_length  |   Ref Time |   Ref Noise |   Cmp Time |   Cmp Noise |       Diff |   %Diff |  Status  |
|      io       |  compression  |  cardinality  |  run_length  |   Ref Time |   Ref Noise |   Cmp Time |   Cmp Noise |       Diff |   %Diff |  Status  |
|---------------|---------------|---------------|--------------|------------|-------------|------------|-------------|------------|---------|----------|
|   FILEPATH    |    SNAPPY     |       0       |      1       | 183.027 ms |       7.45% | 732.926 ms |       1.98% | 549.899 ms | 300.45% |   FAIL   |
|   FILEPATH    |    SNAPPY     |     1000      |      1       | 198.228 ms |       6.43% | 834.309 ms |       4.21% | 636.081 ms | 320.88% |   FAIL   |
|   FILEPATH    |    SNAPPY     |       0       |      32      |  96.676 ms |       6.19% | 363.033 ms |       1.66% | 266.356 ms | 275.51% |   FAIL   |
|   FILEPATH    |    SNAPPY     |     1000      |      32      |  94.508 ms |       4.80% | 313.813 ms |       1.28% | 219.305 ms | 232.05% |   FAIL   |
|   FILEPATH    |     NONE      |       0       |      1       | 161.868 ms |       5.40% | 607.700 ms |       2.90% | 445.832 ms | 275.43% |   FAIL   |
|   FILEPATH    |     NONE      |     1000      |      1       | 164.902 ms |       5.80% | 616.101 ms |       3.46% | 451.199 ms | 273.62% |   FAIL   |
|   FILEPATH    |     NONE      |       0       |      32      |  88.298 ms |       5.15% | 267.703 ms |       0.46% | 179.405 ms | 203.18% |   FAIL   |
|   FILEPATH    |     NONE      |     1000      |      32      |  87.147 ms |       5.61% | 250.528 ms |       0.43% | 163.381 ms | 187.48% |   FAIL   |
|  HOST_BUFFER  |    SNAPPY     |       0       |      1       | 124.990 ms |       0.39% | 636.270 ms |       0.44% | 511.280 ms | 409.06% |   FAIL   |
|  HOST_BUFFER  |    SNAPPY     |     1000      |      1       | 149.858 ms |       4.10% | 747.264 ms |       0.50% | 597.406 ms | 398.65% |   FAIL   |
|  HOST_BUFFER  |    SNAPPY     |       0       |      32      |  92.499 ms |       4.46% | 359.660 ms |       0.19% | 267.161 ms | 288.82% |   FAIL   |
|  HOST_BUFFER  |    SNAPPY     |     1000      |      32      |  93.373 ms |       4.14% | 311.608 ms |       0.43% | 218.235 ms | 233.73% |   FAIL   |
|  HOST_BUFFER  |     NONE      |       0       |      1       | 111.792 ms |       0.50% | 493.797 ms |       0.13% | 382.005 ms | 341.71% |   FAIL   |
|  HOST_BUFFER  |     NONE      |     1000      |      1       | 117.646 ms |       5.60% | 516.706 ms |       0.12% | 399.060 ms | 339.20% |   FAIL   |
|  HOST_BUFFER  |     NONE      |       0       |      32      |  84.983 ms |       4.96% | 258.477 ms |       0.46% | 173.495 ms | 204.15% |   FAIL   |
|  HOST_BUFFER  |     NONE      |     1000      |      32      |  82.648 ms |       4.42% | 248.028 ms |       5.30% | 165.380 ms | 200.10% |   FAIL   |
| DEVICE_BUFFER |    SNAPPY     |       0       |      1       |  65.538 ms |       4.02% | 606.010 ms |       3.76% | 540.472 ms | 824.68% |   FAIL   |
| DEVICE_BUFFER |    SNAPPY     |     1000      |      1       | 101.427 ms |       4.10% | 742.774 ms |       4.64% | 641.347 ms | 632.33% |   FAIL   |
| DEVICE_BUFFER |    SNAPPY     |       0       |      32      |  80.133 ms |       4.64% | 364.701 ms |       2.70% | 284.568 ms | 355.12% |   FAIL   |
| DEVICE_BUFFER |    SNAPPY     |     1000      |      32      |  86.232 ms |       4.71% | 320.387 ms |       2.80% | 234.155 ms | 271.54% |   FAIL   |
| DEVICE_BUFFER |     NONE      |       0       |      1       |  52.189 ms |       6.62% | 458.100 ms |       2.15% | 405.912 ms | 777.78% |   FAIL   |
| DEVICE_BUFFER |     NONE      |     1000      |      1       |  54.664 ms |       6.76% | 478.527 ms |       1.41% | 423.862 ms | 775.39% |   FAIL   |
| DEVICE_BUFFER |     NONE      |       0       |      32      |  67.975 ms |       5.12% | 260.009 ms |       3.71% | 192.034 ms | 282.51% |   FAIL   |
| DEVICE_BUFFER |     NONE      |     1000      |      32      |  68.485 ms |       4.86% | 243.705 ms |       2.09% | 175.220 ms | 255.85% |   FAIL   |

@ttnghia ttnghia added feature request New feature or request 2 - In Progress Currently a work in progress libcudf Affects libcudf (C++/CUDA) code. Spark Functionality that helps Spark RAPIDS non-breaking Non-breaking change labels Feb 20, 2024
@ttnghia ttnghia self-assigned this Feb 20, 2024
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@github-actions github-actions bot added the CMake CMake build issue label Feb 20, 2024
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
# Conflicts:
#	cpp/src/io/orc/aggregate_orc_metadata.hpp
#	cpp/src/io/orc/reader_impl.cu
#	cpp/src/io/orc/reader_impl.hpp
#	cpp/src/io/orc/reader_impl_preprocess.cu
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
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Sorry, this is going to take me a little while to traverse. :]

Comment on lines 125 to 133
// NVBENCH_BENCH_TYPES(BM_orc_read_data,
// NVBENCH_TYPE_AXES(d_type_list,
// nvbench::enum_type_list<cudf::io::io_type::DEVICE_BUFFER>))
// .set_name("orc_read_decode")
// .set_type_axes_names({"data_type", "io"})
// .set_min_samples(4)
// .add_int64_axis("cardinality", {0, 1000})
// .add_int64_axis("run_length", {1, 32});

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Do we intend to remove this, or un-comment it?

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Sorry I still need to clean up this and much more 😄

@@ -62,7 +67,7 @@ class reader {
/**
* @brief Destructor explicitly declared to avoid inlining in header
*/
~reader();
virtual ~reader();
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👍

*
* @param output_size_limit Limit on total number of bytes to be returned per read,
* or `0` if there is no limit
* @param data_read_limit Limit on memory usage for the purposes of decompression and processing
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If this is in bytes, data_read_limit_bytes might be a more descriptive name.

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The doxygen should clarify its name thus I'm inclined to keep the name shorter. I even prefer read_limit but that seems too short and less descriptive so maybe data_read_limit is better.

* @param stream CUDA stream used for device memory operations and kernel launches
* @param mr Device memory resource to use for device memory allocation
*/
explicit chunked_reader(std::size_t output_size_limit,
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Silly question: Why is this ctor explicit? This isn't a single argument ctor, so I don't know if we run the risk of accidental conversion into a chunked_reader.

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I take my question back. From scripture, this might be to prevent construction like:

chunked_reader const my_reader = { 10, 20, std::vector{...}, orc_reader_options{...} };

Do I have this right?

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Exactly, the explicit keyword here is just to prevent such construction. Technically we would not have any issue with it, just the matter of code cleaness.

cpp/include/cudf/io/orc.hpp Outdated Show resolved Hide resolved
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Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
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ttnghia commented Apr 26, 2024

/ok to test

@vuule vuule self-requested a review April 26, 2024 20:27
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Another set of small suggestions
Looks pretty good overall

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Signed-off-by: Nghia Truong <nghiat@nvidia.com>
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Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
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ttnghia commented Apr 29, 2024

/ok to test

@vuule vuule self-requested a review April 30, 2024 23:25
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finally finished a full pass
bunch of small questions/suggestions, nothing really blocking

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ttnghia and others added 5 commits May 1, 2024 21:34
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ttnghia commented May 2, 2024

/ok to test

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ttnghia commented May 2, 2024

/merge

@rapids-bot rapids-bot bot merged commit 81f8cdf into rapidsai:branch-24.06 May 2, 2024
69 checks passed
@ttnghia ttnghia deleted the chunked_orc_reader branch May 2, 2024 23:27
rapids-bot bot pushed a commit that referenced this pull request May 6, 2024
This adds JNI implementation for chunked ORC reader, allowing to read ORC files by an iterative manner.

Depends on: 
 * #15094

Closes #12228.

Authors:
  - Nghia Truong (https://github.com/ttnghia)

Approvers:
  - Jason Lowe (https://github.com/jlowe)

URL: #15446
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