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Posted to commits@doris.apache.org by GitBox <gi...@apache.org> on 2019/12/06 06:05:35 UTC

[GitHub] [incubator-doris] morningman commented on a change in pull request #2293: Support Grouping Sets, Rollup and Cube to extend group by statement

morningman commented on a change in pull request #2293: Support Grouping Sets, Rollup and Cube to extend group by statement
URL: https://github.com/apache/incubator-doris/pull/2293#discussion_r354640474
 
 

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 File path: be/src/exec/repeat_node.cpp
 ##########
 @@ -0,0 +1,228 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+#include "exec/repeat_node.h"
+
+#include "exprs/expr.h"
+#include "runtime/raw_value.h"
+#include "runtime/row_batch.h"
+#include "runtime/runtime_state.h"
+#include "util/runtime_profile.h"
+#include "gutil/strings/join.h"
+
+namespace doris {
+
+RepeatNode::RepeatNode(ObjectPool* pool, const TPlanNode& tnode,
+                     const DescriptorTbl& descs)
+    : ExecNode(pool, tnode, descs),
+    _slot_id_set_list(tnode.repeat_node.slot_id_set_list),
+    _repeat_id_list(tnode.repeat_node.repeat_id_list),
+    _grouping_list(tnode.repeat_node.grouping_list),
+    _output_tuple_id(tnode.repeat_node.output_tuple_id),
+    _tuple_desc(nullptr),
+    _child_row_batch(nullptr),
+    _child_eos(false),
+    _repeat_id_idx(0),
+    _runtime_state(nullptr) {
+}
+
+RepeatNode::~RepeatNode() {
+}
+
+Status RepeatNode::prepare(RuntimeState* state) {
+    SCOPED_TIMER(_runtime_profile->total_time_counter());
+    RETURN_IF_ERROR(ExecNode::prepare(state));
+    DCHECK(_repeat_id_idx >= 0);
+    for (const std::vector<int64_t>& v : _grouping_list) {
+        DCHECK(_repeat_id_idx <= (int)v.size());
+    }
+    _runtime_state = state;
+    _tuple_desc = state->desc_tbl().get_tuple_descriptor(_output_tuple_id);
+    if (_tuple_desc == NULL) {
+        return Status::InternalError("Failed to get tuple descriptor.");
+    }
+
+    return Status::OK();
+}
+
+Status RepeatNode::open(RuntimeState* state) {
+    SCOPED_TIMER(_runtime_profile->total_time_counter());
+    RETURN_IF_ERROR(ExecNode::open(state));
+    RETURN_IF_CANCELLED(state);
+    RETURN_IF_ERROR(child(0)->open(state));
+    return Status::OK();
+}
+
+/**
+ * copy the rows to new tuple based on repeat_id_idx and _repeat_id_list and fill in row_batch,
+ *  and then set grouping_id and other grouping function slot in child_row_batch
+ *  e.g. _repeat_id_list = [0, 3, 1, 2], _repeat_id_idx = 2, _grouping_list [[0, 3, 1, 2], [0, 1, 1, 0]],
+ *  row_batch tuple 0 ['a', 'b', 1] -> [['a', null, 1] tuple 1 [1, 1]]
+ */
+Status RepeatNode::get_repeated_batch(
+            RowBatch* child_row_batch, int repeat_id_idx, RowBatch* row_batch) {
+
+    DCHECK(child_row_batch != nullptr);
+    DCHECK_EQ(row_batch->num_rows(), 0);
+
+    // Fill all slots according to child
+    MemPool* tuple_pool = row_batch->tuple_data_pool();
+    const vector<TupleDescriptor*>& src_tuple_descs = child_row_batch->row_desc().tuple_descriptors();
+    const vector<TupleDescriptor*>& dst_tuple_descs = row_batch->row_desc().tuple_descriptors();
+    vector<Tuple*> dst_tuples(src_tuple_descs.size(), nullptr);
+    for (int i = 0; i < child_row_batch->num_rows(); ++i) {
+        int row_idx = row_batch->add_row();
+        TupleRow* dst_row = row_batch->get_row(row_idx);
+        TupleRow* src_row = child_row_batch->get_row(i);
+
+        auto src_it = src_tuple_descs.begin();
+        auto dst_it = dst_tuple_descs.begin();
+        for (int j = 0; src_it != src_tuple_descs.end() && dst_it != dst_tuple_descs.end();
+                    ++src_it, ++dst_it, ++j) {
+            Tuple* src_tuple = src_row->get_tuple(j);
+            if (src_tuple == NULL) {
+                continue;
+            }
+
+            if (dst_tuples[j] == nullptr) {
+                int size = row_batch->capacity() * (*dst_it)->byte_size();
+                void* tuple_buffer = tuple_pool->allocate(size);
+                if (tuple_buffer == nullptr) {
+                    return Status::InternalError("Allocate memory for row batch failed.");
+                }
+                dst_tuples[j] = reinterpret_cast<Tuple*>(tuple_buffer);
+            } else {
+                char* new_tuple = reinterpret_cast<char*>(dst_tuples[j]);
+                new_tuple += (*dst_it)->byte_size();
+                dst_tuples[j] = reinterpret_cast<Tuple*>(new_tuple);
+            }
+            dst_row->set_tuple(j, dst_tuples[j]);
+            memset(dst_tuples[j], 0, (*dst_it)->num_null_bytes());
+            src_tuple->deep_copy(dst_tuples[j], **dst_it, tuple_pool);
+            for (int k = 0; k < (*src_it)->slots().size(); k++) {
+                SlotDescriptor* src_slot_desc = (*src_it)->slots()[k];
+                SlotDescriptor* dst_slot_desc = (*dst_it)->slots()[k];
+                DCHECK_EQ(src_slot_desc->type().type, dst_slot_desc->type().type);
+                DCHECK_EQ(src_slot_desc->col_name(), dst_slot_desc->col_name());
+                // set null base on repeated list
+                if (_slot_id_set_list[0].find(src_slot_desc->id()) != _slot_id_set_list[0].end()) {
+                    std::set<SlotId>& repeat_ids = _slot_id_set_list[repeat_id_idx];
+                    if (repeat_ids.find(src_slot_desc->id()) == repeat_ids.end()) {
+                        dst_tuples[j]->set_null(dst_slot_desc->null_indicator_offset());
+                        continue;
+                    }
+                }
+            }
+        }
+        row_batch->commit_last_row();
+    }
+    Tuple *tuple = nullptr;
+    // Fill grouping ID to tuple
+    for (int i = 0; i < child_row_batch->num_rows(); ++i) {
+        int row_idx = i;
+        TupleRow *row = row_batch->get_row(row_idx);
+
+        if (tuple == nullptr) {
+            int size = row_batch->capacity() * _tuple_desc->byte_size();
+            void *tuple_buffer = tuple_pool->allocate(size);
+            if (tuple_buffer == nullptr) {
+                return Status::InternalError("Allocate memory for row batch failed.");
+            }
+            tuple = reinterpret_cast<Tuple *>(tuple_buffer);
+        } else {
+            char *new_tuple = reinterpret_cast<char *>(tuple);
+            new_tuple += _tuple_desc->byte_size();
+            tuple = reinterpret_cast<Tuple *>(new_tuple);
+        }
+
+        row->set_tuple(src_tuple_descs.size(), tuple);
+        memset(tuple, 0, _tuple_desc->num_null_bytes());
+
+        for(size_t slot_idx = 0; slot_idx < _grouping_list.size(); ++slot_idx) {
+            int64_t val = _grouping_list[slot_idx][repeat_id_idx];
+            DCHECK_LT(slot_idx, _tuple_desc->slots().size()) << "TupleDescriptor: " << _tuple_desc->debug_string();
+            const SlotDescriptor *slot_desc = _tuple_desc->slots()[slot_idx];
+            tuple->set_not_null(slot_desc->null_indicator_offset());
+            RawValue::write(&val, tuple, slot_desc, tuple_pool);
+        }
+    }
+
+    return Status::OK();
+}
+
+Status RepeatNode::get_next(RuntimeState* state, RowBatch* row_batch, bool* eos) {
+    SCOPED_TIMER(_runtime_profile->total_time_counter());
+    RETURN_IF_ERROR(exec_debug_action(TExecNodePhase::GETNEXT));
+    RETURN_IF_CANCELLED(state);
+    std::stringstream vts;
+    debug_string(0, &vts);
+    LOG(INFO) << vts.str();
 
 Review comment:
   Not using INFO level log here.
   And avoid calling `debug_string(0, &vts);` is not in DEBUG mode, it will impact performance

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