Propagate errors from Parquet reader kernels back to host

cpp/src/io/parquet/page_data.cu

@@ -430,10 +430,15 @@ static __device__ void gpuOutputGeneric(
  * @param chunks List of column chunks
  * @param min_row Row index to start reading at
  * @param num_rows Maximum number of rows to read
+ * @param error_code Error code to set if an error is encountered
  */
 template <int lvl_buf_size, typename level_t>
-__global__ void __launch_bounds__(decode_block_size) gpuDecodePageData(
-  PageInfo* pages, device_span<ColumnChunkDesc const> chunks, size_t min_row, size_t num_rows)
+__global__ void __launch_bounds__(decode_block_size)
+  gpuDecodePageData(PageInfo* pages,
+                    device_span<ColumnChunkDesc const> chunks,
+                    size_t min_row,
+                    size_t num_rows,
+                    int32_t* error_code)
 {
   __shared__ __align__(16) page_state_s state_g;
   __shared__ __align__(16)
@@ -472,7 +477,8 @@ __global__ void __launch_bounds__(decode_block_size) gpuDecodePageData(
 
   // skipped_leaf_values will always be 0 for flat hierarchies.
   uint32_t skipped_leaf_values = s->page.skipped_leaf_values;
-  while (!s->error && (s->input_value_count < s->num_input_values || s->src_pos < s->nz_count)) {
+  while (s->error == 0 &&
+         (s->input_value_count < s->num_input_values || s->src_pos < s->nz_count)) {
     int target_pos;
     int src_pos = s->src_pos;
 
@@ -596,6 +602,10 @@ __global__ void __launch_bounds__(decode_block_size) gpuDecodePageData(
     }
     __syncthreads();
   }
+  if (t == 0 and s->error != 0) {
+    cuda::atomic_ref<int32_t, cuda::thread_scope_device> ref{*error_code};
+    ref.fetch_or(s->error, cuda::std::memory_order_relaxed);
+  }
 }
 
 struct mask_tform {
@@ -621,6 +631,7 @@ void __host__ DecodePageData(cudf::detail::hostdevice_vector<PageInfo>& pages,
                              size_t num_rows,
                              size_t min_row,
                              int level_type_size,
+                             int32_t* error_code,
                              rmm::cuda_stream_view stream)
 {
   CUDF_EXPECTS(pages.size() > 0, "There is no page to decode");
@@ -629,11 +640,11 @@ void __host__ DecodePageData(cudf::detail::hostdevice_vector<PageInfo>& pages,
   dim3 dim_grid(pages.size(), 1);  // 1 threadblock per page
 
   if (level_type_size == 1) {
-    gpuDecodePageData<rolling_buf_size, uint8_t>
-      <<<dim_grid, dim_block, 0, stream.value()>>>(pages.device_ptr(), chunks, min_row, num_rows);
+    gpuDecodePageData<rolling_buf_size, uint8_t><<<dim_grid, dim_block, 0, stream.value()>>>(
+      pages.device_ptr(), chunks, min_row, num_rows, error_code);
   } else {
-    gpuDecodePageData<rolling_buf_size, uint16_t>
-      <<<dim_grid, dim_block, 0, stream.value()>>>(pages.device_ptr(), chunks, min_row, num_rows);
+    gpuDecodePageData<rolling_buf_size, uint16_t><<<dim_grid, dim_block, 0, stream.value()>>>(
+      pages.device_ptr(), chunks, min_row, num_rows, error_code);
   }
 }
 

cpp/src/io/parquet/page_decode.cuh

@@ -21,6 +21,7 @@
 
 #include <io/utilities/block_utils.cuh>
 
+#include <cuda/atomic>
 #include <cuda/std/tuple>
 
 namespace cudf::io::parquet::gpu {
@@ -69,6 +70,18 @@ struct page_state_s {
   PageNestingDecodeInfo nesting_decode_cache[max_cacheable_nesting_decode_info]{};
   // points to either nesting_decode_cache above when possible, or to the global source otherwise
   PageNestingDecodeInfo* nesting_info{};
+
+  inline __device__ void set_error_code(decode_error err) volatile
+  {
+    cuda::atomic_ref<int32_t, cuda::thread_scope_block> ref{const_cast<int&>(error)};
+    ref.fetch_or(static_cast<int32_t>(err), cuda::std::memory_order_relaxed);
+  }
+
+  inline __device__ void reset_error_code() volatile
+  {
+    cuda::atomic_ref<int32_t, cuda::thread_scope_block> ref{const_cast<int&>(error)};
+    ref.store(0, cuda::std::memory_order_release);
+  }
 };
 
 // buffers only used in the decode kernel.  separated from page_state_s to keep
@@ -471,7 +484,7 @@ __device__ void gpuDecodeStream(
   int32_t value_count       = s->lvl_count[lvl];
   int32_t batch_coded_count = 0;
 
-  while (value_count < target_count && value_count < num_input_values) {
+  while (s->error == 0 && value_count < target_count && value_count < num_input_values) {
     int batch_len;
     if (level_run <= 1) {
       // Get a new run symbol from the byte stream
@@ -487,7 +500,14 @@ __device__ void gpuDecodeStream(
             cur++;
           }
         }
-        if (cur > end || level_run <= 1) { s->error = 0x10; }
+        if (cur > end) {
+          s->set_error_code(decode_error::LEVEL_STREAM_OVERRUN);
+          break;
+        }
+        if (level_run <= 1) {
+          s->set_error_code(decode_error::INVALID_LEVEL_RUN);
+          break;
+        }
         sym_len = (int32_t)(cur - cur_def);
         __threadfence_block();
       }
@@ -496,7 +516,7 @@ __device__ void gpuDecodeStream(
       level_run = shuffle(level_run);
       cur_def += sym_len;
     }
-    if (s->error) { break; }
+    if (s->error != 0) { break; }
 
     batch_len = min(num_input_values - value_count, 32);
     if (level_run & 1) {
@@ -852,7 +872,7 @@ __device__ void gpuDecodeLevels(page_state_s* s,
 
   constexpr int batch_size = 32;
   int cur_leaf_count       = target_leaf_count;
-  while (!s->error && s->nz_count < target_leaf_count &&
+  while (s->error == 0 && s->nz_count < target_leaf_count &&
          s->input_value_count < s->num_input_values) {
     if (has_repetition) {
       gpuDecodeStream<level_t, rolling_buf_size>(rep, s, cur_leaf_count, t, level_type::REPETITION);
@@ -916,7 +936,7 @@ inline __device__ uint32_t InitLevelSection(page_state_s* s,
     }
     s->lvl_start[lvl] = cur;
 
-    if (cur > end) { s->error = 2; }
+    if (cur > end) { s->set_error_code(decode_error::LEVEL_STREAM_OVERRUN); }
   };
 
   // this is a little redundant. if level_bits == 0, then nothing should be encoded
@@ -941,8 +961,8 @@ inline __device__ uint32_t InitLevelSection(page_state_s* s,
       // add back the 4 bytes for the length
       len += 4;
     } else {
-      len      = 0;
-      s->error = 2;
+      len = 0;
+      s->set_error_code(decode_error::LEVEL_STREAM_OVERRUN);
     }
   } else if (encoding == Encoding::BIT_PACKED) {
     len                       = (s->page.num_input_values * level_bits + 7) >> 3;
@@ -951,8 +971,8 @@ inline __device__ uint32_t InitLevelSection(page_state_s* s,
     s->lvl_start[lvl]         = cur;
     s->abs_lvl_start[lvl]     = cur;
   } else {
-    s->error = 3;
-    len      = 0;
+    len = 0;
+    s->set_error_code(decode_error::UNSUPPORTED_ENCODING);
   }
 
   s->abs_lvl_end[lvl] = start + len;
@@ -1094,7 +1114,7 @@ inline __device__ bool setupLocalPageInfo(page_state_s* const s,
   }
 
   if (!t) {
-    s->error = 0;
+    s->reset_error_code();
 
     // IMPORTANT : nested schemas can have 0 rows in a page but still have
     // values. The case is:
@@ -1152,7 +1172,7 @@ inline __device__ bool setupLocalPageInfo(page_state_s* const s,
           break;
         default:  // FIXED_LEN_BYTE_ARRAY:
           s->dtype_len = dtype_len_out;
-          s->error |= (s->dtype_len <= 0);
+          if (s->dtype_len <= 0) { s->set_error_code(decode_error::INVALID_DATA_TYPE); }
           break;
       }
       // Special check for downconversions
@@ -1268,7 +1288,9 @@ inline __device__ bool setupLocalPageInfo(page_state_s* const s,
           s->dict_run  = 0;
           s->dict_val  = 0;
           s->dict_bits = (cur < end) ? *cur++ : 0;
-          if (s->dict_bits > 32 || !s->dict_base) { s->error = (10 << 8) | s->dict_bits; }
+          if (s->dict_bits > 32 || !s->dict_base) {
+            s->set_error_code(decode_error::INVALID_DICT_WIDTH);
+          }
           break;
         case Encoding::PLAIN:
           s->dict_size = static_cast<int32_t>(end - cur);
@@ -1279,22 +1301,23 @@ inline __device__ bool setupLocalPageInfo(page_state_s* const s,
           // first 4 bytes are length of RLE data
           int const len = (cur[0]) + (cur[1] << 8) + (cur[2] << 16) + (cur[3] << 24);
           cur += 4;
-          if (cur + len > end) { s->error = 2; }
+          if (cur + len > end) { s->set_error_code(decode_error::DATA_STREAM_OVERRUN); }
           s->dict_run = 0;
         } break;
         case Encoding::DELTA_BINARY_PACKED:
           // nothing to do, just don't error
           break;
-        default:
-          s->error = 1;  // Unsupported encoding
+        default: {
+          s->set_error_code(decode_error::UNSUPPORTED_ENCODING);
           break;
+        }
       }
-      if (cur > end) { s->error = 1; }
+      if (cur > end) { s->set_error_code(decode_error::DATA_STREAM_OVERRUN); }
       s->lvl_end    = cur;
       s->data_start = cur;
       s->data_end   = end;
     } else {
-      s->error = 1;
+      s->set_error_code(decode_error::EMPTY_PAGE);
     }
 
     s->lvl_count[level_type::REPETITION] = 0;

cpp/src/io/parquet/page_delta_decode.cu

@@ -32,8 +32,12 @@ namespace {
 // with V2 page headers; see https://www.mail-archive.com/dev@parquet.apache.org/msg11826.html).
 // this kernel only needs 96 threads (3 warps)(for now).
 template <typename level_t>
-__global__ void __launch_bounds__(96) gpuDecodeDeltaBinary(
-  PageInfo* pages, device_span<ColumnChunkDesc const> chunks, size_t min_row, size_t num_rows)
+__global__ void __launch_bounds__(96)
+  gpuDecodeDeltaBinary(PageInfo* pages,
+                       device_span<ColumnChunkDesc const> chunks,
+                       size_t min_row,
+                       size_t num_rows,
+                       int32_t* error_code)
 {
   using cudf::detail::warp_size;
   __shared__ __align__(16) delta_binary_decoder db_state;
@@ -79,7 +83,8 @@ __global__ void __launch_bounds__(96) gpuDecodeDeltaBinary(
   // that has a value we need.
   if (skipped_leaf_values > 0) { db->skip_values(skipped_leaf_values); }
 
-  while (!s->error && (s->input_value_count < s->num_input_values || s->src_pos < s->nz_count)) {
+  while (s->error == 0 &&
+         (s->input_value_count < s->num_input_values || s->src_pos < s->nz_count)) {
     uint32_t target_pos;
     uint32_t const src_pos = s->src_pos;
 
@@ -145,6 +150,11 @@ __global__ void __launch_bounds__(96) gpuDecodeDeltaBinary(
     }
     __syncthreads();
   }
+
+  if (t == 0 and s->error != 0) {
+    cuda::atomic_ref<int32_t, cuda::thread_scope_device> ref{*error_code};
+    ref.fetch_or(s->error, cuda::std::memory_order_relaxed);
+  }
 }
 
 }  // anonymous namespace
@@ -157,6 +167,7 @@ void __host__ DecodeDeltaBinary(cudf::detail::hostdevice_vector<PageInfo>& pages
                                 size_t num_rows,
                                 size_t min_row,
                                 int level_type_size,
+                                int32_t* error_code,
                                 rmm::cuda_stream_view stream)
 {
   CUDF_EXPECTS(pages.size() > 0, "There is no page to decode");
@@ -165,11 +176,11 @@ void __host__ DecodeDeltaBinary(cudf::detail::hostdevice_vector<PageInfo>& pages
   dim3 dim_grid(pages.size(), 1);  // 1 threadblock per page
 
   if (level_type_size == 1) {
-    gpuDecodeDeltaBinary<uint8_t>
-      <<<dim_grid, dim_block, 0, stream.value()>>>(pages.device_ptr(), chunks, min_row, num_rows);
+    gpuDecodeDeltaBinary<uint8_t><<<dim_grid, dim_block, 0, stream.value()>>>(
+      pages.device_ptr(), chunks, min_row, num_rows, error_code);
   } else {
-    gpuDecodeDeltaBinary<uint16_t>
-      <<<dim_grid, dim_block, 0, stream.value()>>>(pages.device_ptr(), chunks, min_row, num_rows);
+    gpuDecodeDeltaBinary<uint16_t><<<dim_grid, dim_block, 0, stream.value()>>>(
+      pages.device_ptr(), chunks, min_row, num_rows, error_code);
   }
 }
 

cpp/src/io/parquet/page_string_decode.cu

@@ -582,8 +582,12 @@ __global__ void __launch_bounds__(preprocess_block_size) gpuComputePageStringSiz
  * @tparam level_t Type used to store decoded repetition and definition levels
  */
 template <typename level_t>
-__global__ void __launch_bounds__(decode_block_size) gpuDecodeStringPageData(
-  PageInfo* pages, device_span<ColumnChunkDesc const> chunks, size_t min_row, size_t num_rows)
+__global__ void __launch_bounds__(decode_block_size)
+  gpuDecodeStringPageData(PageInfo* pages,
+                          device_span<ColumnChunkDesc const> chunks,
+                          size_t min_row,
+                          size_t num_rows,
+                          int32_t* error_code)
 {
   __shared__ __align__(16) page_state_s state_g;
   __shared__ __align__(4) size_type last_offset;
@@ -617,7 +621,8 @@ __global__ void __launch_bounds__(decode_block_size) gpuDecodeStringPageData(
 
   // skipped_leaf_values will always be 0 for flat hierarchies.
   uint32_t skipped_leaf_values = s->page.skipped_leaf_values;
-  while (!s->error && (s->input_value_count < s->num_input_values || s->src_pos < s->nz_count)) {
+  while (s->error == 0 &&
+         (s->input_value_count < s->num_input_values || s->src_pos < s->nz_count)) {
     int target_pos;
     int src_pos = s->src_pos;
 
@@ -742,6 +747,11 @@ __global__ void __launch_bounds__(decode_block_size) gpuDecodeStringPageData(
 
   auto const offptr = reinterpret_cast<size_type*>(nesting_info_base[leaf_level_index].data_out);
   block_excl_sum<decode_block_size>(offptr, value_count, s->page.str_offset);
+
+  if (t == 0 and s->error != 0) {
+    cuda::atomic_ref<int32_t, cuda::thread_scope_device> ref{*error_code};
+    ref.fetch_or(s->error, cuda::std::memory_order_relaxed);
+  }
 }
 
 }  // anonymous namespace
@@ -775,6 +785,7 @@ void __host__ DecodeStringPageData(cudf::detail::hostdevice_vector<PageInfo>& pa
                                    size_t num_rows,
                                    size_t min_row,
                                    int level_type_size,
+                                   int32_t* error_code,
                                    rmm::cuda_stream_view stream)
 {
   CUDF_EXPECTS(pages.size() > 0, "There is no page to decode");
@@ -783,11 +794,11 @@ void __host__ DecodeStringPageData(cudf::detail::hostdevice_vector<PageInfo>& pa
   dim3 dim_grid(pages.size(), 1);  // 1 threadblock per page
 
   if (level_type_size == 1) {
-    gpuDecodeStringPageData<uint8_t>
-      <<<dim_grid, dim_block, 0, stream.value()>>>(pages.device_ptr(), chunks, min_row, num_rows);
+    gpuDecodeStringPageData<uint8_t><<<dim_grid, dim_block, 0, stream.value()>>>(
+      pages.device_ptr(), chunks, min_row, num_rows, error_code);
   } else {
-    gpuDecodeStringPageData<uint16_t>
-      <<<dim_grid, dim_block, 0, stream.value()>>>(pages.device_ptr(), chunks, min_row, num_rows);
+    gpuDecodeStringPageData<uint16_t><<<dim_grid, dim_block, 0, stream.value()>>>(
+      pages.device_ptr(), chunks, min_row, num_rows, error_code);
   }
 }