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doris/be/test/runtime/data_stream_test.cpp
HuangWei 10f822eb43 [MemTracker] make all MemTrackers shared (#4135) 
We make all MemTrackers shared, in order to show MemTracker real-time consumptions on the web.
As follows:
1. nearly all MemTracker raw ptr -> shared_ptr
2. Use CreateTracker() to create new MemTracker(in order to add itself to its parent)
3. RowBatch & MemPool still use raw ptrs of MemTracker, it's easy to ensure RowBatch & MemPool destructor exec 
     before MemTracker's destructor. So we don't change these code.
4. MemTracker can use RuntimeProfile's counter to calc consumption. So RuntimeProfile's counter need to be shared 
    too. We add a shared counter pool to store the shared counter, don't change other counters of RuntimeProfile.
Note that, this PR doesn't change the MemTracker tree structure. So there still have some orphan trackers, e.g. RowBlockV2's MemTracker. If you find some shared MemTrackers are little memory consumption & too time-consuming, you could make them be the orphan, then it's fine to use the raw ptr.
2020-07-31 21:57:21 +08:00

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// 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 <gtest/gtest.h>
#include <boost/thread/thread.hpp>
#include <iostream>
#include "common/status.h"
#include "exprs/slot_ref.h"
#include "gen_cpp/BackendService.h"
#include "gen_cpp/Descriptors_types.h"
#include "gen_cpp/Types_types.h"
#include "runtime/client_cache.h"
#include "runtime/data_stream_mgr.h"
#include "runtime/data_stream_recvr.h"
#include "runtime/data_stream_sender.h"
#include "runtime/descriptors.h"
#include "runtime/raw_value.h"
#include "runtime/row_batch.h"
#include "runtime/runtime_state.h"
#include "util/cpu_info.h"
#include "util/debug_util.h"
#include "util/disk_info.h"
#include "util/logging.h"
#include "util/mem_info.h"
#include "util/thrift_server.h"
using std::string;
using std::vector;
using std::multiset;
using boost::scoped_ptr;
using boost::thread;
namespace doris {
class DorisTestBackend : public BackendServiceIf {
public:
DorisTestBackend(DataStreamMgr* stream_mgr) : _mgr(stream_mgr) {}
virtual ~DorisTestBackend() {}
virtual void exec_plan_fragment(TExecPlanFragmentResult& return_val,
const TExecPlanFragmentParams& params) {}
virtual void cancel_plan_fragment(TCancelPlanFragmentResult& return_val,
const TCancelPlanFragmentParams& params) {}
virtual void transmit_data(TTransmitDataResult& return_val, const TTransmitDataParams& params) {
/*
LOG(ERROR) << "transmit_data(): instance_id=" << params.dest_fragment_instance_id
<< " node_id=" << params.dest_node_id
<< " #rows=" << params.row_batch.num_rows
<< " eos=" << (params.eos ? "true" : "false");
if (!params.eos) {
_mgr->add_data(
params.dest_fragment_instance_id,
params.dest_node_id,
params.row_batch,
params.sender_id).set_t_status(&return_val);
} else {
Status status = _mgr->close_sender(
params.dest_fragment_instance_id, params.dest_node_id, params.sender_id, params.be_number);
status.set_t_status(&return_val);
LOG(ERROR) << "close_sender status: " << status.get_error_msg();
}
*/
}
virtual void fetch_data(TFetchDataResult& return_val, const TFetchDataParams& params) {}
virtual void submit_tasks(TAgentResult& return_val,
const std::vector<TAgentTaskRequest>& tasks) {}
virtual void make_snapshot(TAgentResult& return_val, const TSnapshotRequest& snapshot_request) {
}
virtual void release_snapshot(TAgentResult& return_val, const std::string& snapshot_path) {}
virtual void publish_cluster_state(TAgentResult& return_val,
const TAgentPublishRequest& request) {}
virtual void submit_etl_task(TAgentResult& return_val, const TMiniLoadEtlTaskRequest& request) {
}
virtual void get_etl_status(TMiniLoadEtlStatusResult& return_val,
const TMiniLoadEtlStatusRequest& request) {}
virtual void delete_etl_files(TAgentResult& return_val, const TDeleteEtlFilesRequest& request) {
}
virtual void register_pull_load_task(TStatus& _return, const TUniqueId& id,
const int32_t num_senders) {}
virtual void deregister_pull_load_task(TStatus& _return, const TUniqueId& id) {}
virtual void report_pull_load_sub_task_info(TStatus& _return,
const TPullLoadSubTaskInfo& task_info) {}
virtual void fetch_pull_load_task_info(TFetchPullLoadTaskInfoResult& _return,
const TUniqueId& id) {}
virtual void fetch_all_pull_load_task_infos(TFetchAllPullLoadTaskInfosResult& _return) {}
private:
DataStreamMgr* _mgr;
};
class DataStreamTest : public testing::Test {
protected:
DataStreamTest()
: _limit(new MemTracker(-1)),
_runtime_state(TUniqueId(), TQueryOptions(), "", &_exec_env),
_next_val(0) {
_exec_env.init_for_tests();
_runtime_state.init_mem_trackers(TUniqueId());
}
// null dtor to pass codestyle check
~DataStreamTest() {}
virtual void SetUp() {
create_row_desc();
create_tuple_comparator();
create_row_batch();
_next_instance_id.lo = 0;
_next_instance_id.hi = 0;
_stream_mgr = new DataStreamMgr();
_broadcast_sink.dest_node_id = DEST_NODE_ID;
_broadcast_sink.output_partition.type = TPartitionType::UNPARTITIONED;
_random_sink.dest_node_id = DEST_NODE_ID;
_random_sink.output_partition.type = TPartitionType::RANDOM;
_hash_sink.dest_node_id = DEST_NODE_ID;
_hash_sink.output_partition.type = TPartitionType::HASH_PARTITIONED;
// there's only one column to partition on
TExprNode expr_node;
expr_node.node_type = TExprNodeType::SLOT_REF;
expr_node.type.types.push_back(TTypeNode());
expr_node.type.types.back().__isset.scalar_type = true;
expr_node.type.types.back().scalar_type.type = TPrimitiveType::BIGINT;
expr_node.num_children = 0;
TSlotRef slot_ref;
slot_ref.slot_id = 0;
expr_node.__set_slot_ref(slot_ref);
TExpr expr;
expr.nodes.push_back(expr_node);
_hash_sink.output_partition.__isset.partition_exprs = true;
_hash_sink.output_partition.partition_exprs.push_back(expr);
// Ensure that individual sender info addresses don't change
_sender_info.reserve(MAX_SENDERS);
_receiver_info.reserve(MAX_RECEIVERS);
start_backend();
}
const TDataStreamSink& get_sink(TPartitionType::type partition_type) {
switch (partition_type) {
case TPartitionType::UNPARTITIONED:
return _broadcast_sink;
case TPartitionType::RANDOM:
return _random_sink;
case TPartitionType::HASH_PARTITIONED:
return _hash_sink;
default:
DCHECK(false) << "Unhandled sink type: " << partition_type;
}
// Should never reach this.
return _broadcast_sink;
}
virtual void TearDown() {
_lhs_slot_ctx->close(NULL);
_rhs_slot_ctx->close(NULL);
_exec_env.client_cache()->test_shutdown();
stop_backend();
}
void reset() {
_sender_info.clear();
_receiver_info.clear();
_dest.clear();
}
// We reserve contiguous memory for senders in SetUp. If a test uses more
// senders, a DCHECK will fail and you should increase this value.
static const int MAX_SENDERS = 16;
static const int MAX_RECEIVERS = 16;
static const PlanNodeId DEST_NODE_ID = 1;
static const int BATCH_CAPACITY = 100; // rows
static const int PER_ROW_DATA = 8;
static const int TOTAL_DATA_SIZE = 8 * 1024;
static const int NUM_BATCHES = TOTAL_DATA_SIZE / BATCH_CAPACITY / PER_ROW_DATA;
ObjectPool _obj_pool;
std::shared_ptr<MemTracker> _limit;
std::shared_ptr<MemTracker> _tracker;
DescriptorTbl* _desc_tbl;
const RowDescriptor* _row_desc;
TupleRowComparator* _less_than;
ExecEnv _exec_env;
RuntimeState _runtime_state;
TUniqueId _next_instance_id;
string _stmt;
// RowBatch generation
scoped_ptr<RowBatch> _batch;
int _next_val;
int64_t* _tuple_mem;
// receiving node
DataStreamMgr* _stream_mgr;
ThriftServer* _server;
// sending node(s)
TDataStreamSink _broadcast_sink;
TDataStreamSink _random_sink;
TDataStreamSink _hash_sink;
vector<TPlanFragmentDestination> _dest;
struct SenderInfo {
thread* thread_handle;
Status status;
int num_bytes_sent;
SenderInfo() : thread_handle(NULL), num_bytes_sent(0) {}
};
vector<SenderInfo> _sender_info;
struct ReceiverInfo {
TPartitionType::type stream_type;
int num_senders;
int receiver_num;
thread* thread_handle;
boost::shared_ptr<DataStreamRecvr> stream_recvr;
Status status;
int num_rows_received;
multiset<int64_t> data_values;
ReceiverInfo(TPartitionType::type stream_type, int num_senders, int receiver_num)
: stream_type(stream_type),
num_senders(num_senders),
receiver_num(receiver_num),
thread_handle(NULL),
stream_recvr(NULL),
num_rows_received(0) {}
~ReceiverInfo() {
delete thread_handle;
stream_recvr.reset();
}
};
vector<ReceiverInfo> _receiver_info;
// Create an instance id and add it to _dest
void get_next_instance_id(TUniqueId* instance_id) {
_dest.push_back(TPlanFragmentDestination());
TPlanFragmentDestination& dest = _dest.back();
dest.fragment_instance_id = _next_instance_id;
dest.server.hostname = "127.0.0.1";
dest.server.port = config::port;
*instance_id = _next_instance_id;
++_next_instance_id.lo;
}
// RowDescriptor to mimic "select bigint_col from alltypesagg", except the slot
// isn't nullable
void create_row_desc() {
// create DescriptorTbl
TTupleDescriptor tuple_desc;
tuple_desc.__set_id(0);
tuple_desc.__set_byteSize(8);
tuple_desc.__set_numNullBytes(0);
TDescriptorTable thrift_desc_tbl;
thrift_desc_tbl.tupleDescriptors.push_back(tuple_desc);
TSlotDescriptor slot_desc;
slot_desc.__set_id(0);
slot_desc.__set_parent(0);
slot_desc.slotType.types.push_back(TTypeNode());
slot_desc.slotType.types.back().__isset.scalar_type = true;
slot_desc.slotType.types.back().scalar_type.type = TPrimitiveType::BIGINT;
slot_desc.__set_columnPos(0);
slot_desc.__set_byteOffset(0);
slot_desc.__set_nullIndicatorByte(0);
slot_desc.__set_nullIndicatorBit(-1);
slot_desc.__set_slotIdx(0);
slot_desc.__set_isMaterialized(true);
thrift_desc_tbl.slotDescriptors.push_back(slot_desc);
EXPECT_TRUE(DescriptorTbl::create(&_obj_pool, thrift_desc_tbl, &_desc_tbl).ok());
_runtime_state.set_desc_tbl(_desc_tbl);
vector<TTupleId> row_tids;
row_tids.push_back(0);
vector<bool> nullable_tuples;
nullable_tuples.push_back(false);
_row_desc = _obj_pool.add(new RowDescriptor(*_desc_tbl, row_tids, nullable_tuples));
}
// Create a tuple comparator to sort in ascending order on the single bigint column.
void create_tuple_comparator() {
TExprNode expr_node;
expr_node.node_type = TExprNodeType::SLOT_REF;
expr_node.type.types.push_back(TTypeNode());
expr_node.type.types.back().__isset.scalar_type = true;
expr_node.type.types.back().scalar_type.type = TPrimitiveType::BIGINT;
expr_node.num_children = 0;
TSlotRef slot_ref;
slot_ref.slot_id = 0;
expr_node.__set_slot_ref(slot_ref);
SlotRef* lhs_slot = _obj_pool.add(new SlotRef(expr_node));
_lhs_slot_ctx = _obj_pool.add(new ExprContext(lhs_slot));
SlotRef* rhs_slot = _obj_pool.add(new SlotRef(expr_node));
_rhs_slot_ctx = _obj_pool.add(new ExprContext(rhs_slot));
_lhs_slot_ctx->prepare(&_runtime_state, *_row_desc, _tracker.get());
_rhs_slot_ctx->prepare(&_runtime_state, *_row_desc, _tracker.get());
_lhs_slot_ctx->open(NULL);
_rhs_slot_ctx->open(NULL);
SortExecExprs* sort_exprs = _obj_pool.add(new SortExecExprs());
sort_exprs->init(vector<ExprContext*>(1, _lhs_slot_ctx),
vector<ExprContext*>(1, _rhs_slot_ctx));
_less_than = _obj_pool.add(
new TupleRowComparator(*sort_exprs, vector<bool>(1, true), vector<bool>(1, false)));
}
// Create _batch, but don't fill it with data yet. Assumes we created _row_desc.
RowBatch* create_row_batch() {
RowBatch* batch = new RowBatch(*_row_desc, BATCH_CAPACITY, _limit.get());
int64_t* tuple_mem =
reinterpret_cast<int64_t*>(batch->tuple_data_pool()->allocate(BATCH_CAPACITY * 8));
bzero(tuple_mem, BATCH_CAPACITY * 8);
for (int i = 0; i < BATCH_CAPACITY; ++i) {
int idx = batch->add_row();
TupleRow* row = batch->get_row(idx);
row->set_tuple(0, reinterpret_cast<Tuple*>(&tuple_mem[i]));
batch->commit_last_row();
}
return batch;
}
void get_next_batch(RowBatch* batch, int* next_val) {
LOG(INFO) << "batch_capacity=" << BATCH_CAPACITY << " next_val=" << *next_val;
for (int i = 0; i < BATCH_CAPACITY; ++i) {
TupleRow* row = batch->get_row(i);
int64_t* val = reinterpret_cast<int64_t*>(row->get_tuple(0)->get_slot(0));
*val = (*next_val)++;
}
}
// Start receiver (expecting given number of senders) in separate thread.
void start_receiver(TPartitionType::type stream_type, int num_senders, int receiver_num,
int buffer_size, bool is_merging, TUniqueId* out_id = NULL) {
VLOG_QUERY << "start receiver";
RuntimeProfile* profile = _obj_pool.add(new RuntimeProfile("TestReceiver"));
TUniqueId instance_id;
get_next_instance_id(&instance_id);
_receiver_info.push_back(ReceiverInfo(stream_type, num_senders, receiver_num));
ReceiverInfo& info = _receiver_info.back();
info.stream_recvr =
_stream_mgr->create_recvr(&_runtime_state, *_row_desc, instance_id, DEST_NODE_ID,
num_senders, buffer_size, profile, is_merging);
if (!is_merging) {
info.thread_handle = new thread(&DataStreamTest::read_stream, this, &info);
} else {
info.thread_handle =
new thread(&DataStreamTest::read_stream_merging, this, &info, profile);
}
if (out_id != NULL) {
*out_id = instance_id;
}
}
void join_receivers() {
VLOG_QUERY << "join receiver\n";
for (int i = 0; i < _receiver_info.size(); ++i) {
_receiver_info[i].thread_handle->join();
_receiver_info[i].stream_recvr->close();
}
}
// Deplete stream and print batches
void read_stream(ReceiverInfo* info) {
RowBatch* batch = NULL;
VLOG_QUERY << "start reading";
while (!(info->status = info->stream_recvr->get_batch(&batch)).is_cancelled() &&
(batch != NULL)) {
VLOG_QUERY << "read batch #rows=" << (batch != NULL ? batch->num_rows() : 0);
for (int i = 0; i < batch->num_rows(); ++i) {
TupleRow* row = batch->get_row(i);
info->data_values.insert(*static_cast<int64_t*>(row->get_tuple(0)->get_slot(0)));
}
SleepFor(MonoDelta::FromMilliseconds(
10)); // slow down receiver to exercise buffering logic
}
if (info->status.is_cancelled()) {
VLOG_QUERY << "reader is cancelled";
}
VLOG_QUERY << "done reading";
}
void read_stream_merging(ReceiverInfo* info, RuntimeProfile* profile) {
info->status = info->stream_recvr->create_merger(*_less_than);
if (info->status.is_cancelled()) {
return;
}
RowBatch batch(*_row_desc, 1024, _limit.get());
VLOG_QUERY << "start reading merging";
bool eos = false;
while (!(info->status = info->stream_recvr->get_next(&batch, &eos)).is_cancelled()) {
VLOG_QUERY << "read batch #rows=" << batch.num_rows();
for (int i = 0; i < batch.num_rows(); ++i) {
TupleRow* row = batch.get_row(i);
info->data_values.insert(*static_cast<int64_t*>(row->get_tuple(0)->get_slot(0)));
}
SleepFor(MonoDelta::FromMilliseconds(
10)); // slow down receiver to exercise buffering logic
batch.reset();
if (eos) {
break;
}
}
if (info->status.is_cancelled()) {
VLOG_QUERY << "reader is cancelled";
}
VLOG_QUERY << "done reading";
}
// Verify correctness of receivers' data values.
void check_receivers(TPartitionType::type stream_type, int num_senders) {
int64_t total = 0;
multiset<int64_t> all_data_values;
for (int i = 0; i < _receiver_info.size(); ++i) {
ReceiverInfo& info = _receiver_info[i];
EXPECT_TRUE(info.status.ok());
total += info.data_values.size();
DCHECK_EQ(info.stream_type, stream_type);
DCHECK_EQ(info.num_senders, num_senders);
if (stream_type == TPartitionType::UNPARTITIONED) {
EXPECT_EQ(NUM_BATCHES * BATCH_CAPACITY * num_senders, info.data_values.size());
}
all_data_values.insert(info.data_values.begin(), info.data_values.end());
int k = 0;
for (multiset<int64_t>::iterator j = info.data_values.begin();
j != info.data_values.end(); ++j, ++k) {
if (stream_type == TPartitionType::UNPARTITIONED) {
// unpartitioned streams contain all values as many times as there are
// senders
EXPECT_EQ(k / num_senders, *j);
} else if (stream_type == TPartitionType::HASH_PARTITIONED) {
// hash-partitioned streams send values to the right partition
int64_t value = *j;
uint32_t hash_val = RawValue::get_hash_value_fvn(&value, TYPE_BIGINT, 0U);
EXPECT_EQ(hash_val % _receiver_info.size(), info.receiver_num);
}
}
}
if (stream_type == TPartitionType::HASH_PARTITIONED) {
EXPECT_EQ(NUM_BATCHES * BATCH_CAPACITY * num_senders, total);
int k = 0;
for (multiset<int64_t>::iterator j = all_data_values.begin();
j != all_data_values.end(); ++j, ++k) {
// each sender sent all values
EXPECT_EQ(k / num_senders, *j);
if (k / num_senders != *j) {
break;
}
}
}
}
void check_senders() {
for (int i = 0; i < _sender_info.size(); ++i) {
EXPECT_TRUE(_sender_info[i].status.ok());
EXPECT_GT(_sender_info[i].num_bytes_sent, 0) << "info i=" << i;
}
}
// Start backend in separate thread.
void start_backend() {
boost::shared_ptr<DorisTestBackend> handler(new DorisTestBackend(_stream_mgr));
boost::shared_ptr<apache::thrift::TProcessor> processor(
new BackendServiceProcessor(handler));
_server = new ThriftServer("DataStreamTest backend", processor, config::port, NULL);
_server->start();
}
void stop_backend() {
VLOG_QUERY << "stop backend\n";
_server->stop_for_testing();
delete _server;
}
void start_sender(TPartitionType::type partition_type = TPartitionType::UNPARTITIONED,
int channel_buffer_size = 1024) {
VLOG_QUERY << "start sender";
int sender_id = _sender_info.size();
DCHECK_LT(sender_id, MAX_SENDERS);
_sender_info.push_back(SenderInfo());
SenderInfo& info = _sender_info.back();
info.thread_handle = new thread(&DataStreamTest::sender, this, sender_id,
channel_buffer_size, partition_type);
}
void join_senders() {
VLOG_QUERY << "join senders\n";
for (int i = 0; i < _sender_info.size(); ++i) {
_sender_info[i].thread_handle->join();
}
}
void sender(int sender_num, int channel_buffer_size, TPartitionType::type partition_type) {
RuntimeState state(TExecPlanFragmentParams(), TQueryOptions(), "", &_exec_env);
state.set_desc_tbl(_desc_tbl);
state.init_mem_trackers(TUniqueId());
VLOG_QUERY << "create sender " << sender_num;
const TDataStreamSink& stream_sink =
(partition_type == TPartitionType::UNPARTITIONED ? _broadcast_sink : _hash_sink);
DataStreamSender sender(&_obj_pool, sender_num, *_row_desc, stream_sink, _dest,
channel_buffer_size);
TDataSink data_sink;
data_sink.__set_type(TDataSinkType::DATA_STREAM_SINK);
data_sink.__set_stream_sink(stream_sink);
EXPECT_TRUE(sender.init(data_sink).ok());
EXPECT_TRUE(sender.prepare(&state).ok());
EXPECT_TRUE(sender.open(&state).ok());
scoped_ptr<RowBatch> batch(create_row_batch());
SenderInfo& info = _sender_info[sender_num];
int next_val = 0;
for (int i = 0; i < NUM_BATCHES; ++i) {
get_next_batch(batch.get(), &next_val);
VLOG_QUERY << "sender " << sender_num << ": #rows=" << batch->num_rows();
info.status = sender.send(&state, batch.get());
if (!info.status.ok()) {
LOG(WARNING) << "something is wrong when sending: " << info.status.get_error_msg();
break;
}
}
VLOG_QUERY << "closing sender" << sender_num;
info.status = sender.close(&state, Status::OK());
info.num_bytes_sent = sender.get_num_data_bytes_sent();
batch->reset();
}
void test_stream(TPartitionType::type stream_type, int num_senders, int num_receivers,
int buffer_size, bool is_merging) {
LOG(INFO) << "Testing stream=" << stream_type << " #senders=" << num_senders
<< " #receivers=" << num_receivers << " buffer_size=" << buffer_size;
reset();
for (int i = 0; i < num_receivers; ++i) {
start_receiver(stream_type, num_senders, i, buffer_size, is_merging);
}
for (int i = 0; i < num_senders; ++i) {
start_sender(stream_type, buffer_size);
}
join_senders();
check_senders();
join_receivers();
check_receivers(stream_type, num_senders);
}
private:
ExprContext* _lhs_slot_ctx;
ExprContext* _rhs_slot_ctx;
};
TEST_F(DataStreamTest, UnknownSenderSmallResult) {
// starting a sender w/o a corresponding receiver does not result in an error because
// we cannot distinguish whether a receiver was never created or the receiver
// willingly tore down the stream
// case 1: entire query result fits in single buffer, close() returns ok
TUniqueId dummy_id;
get_next_instance_id(&dummy_id);
start_sender(TPartitionType::UNPARTITIONED, TOTAL_DATA_SIZE + 1024);
join_senders();
EXPECT_TRUE(_sender_info[0].status.ok());
EXPECT_GT(_sender_info[0].num_bytes_sent, 0);
}
TEST_F(DataStreamTest, UnknownSenderLargeResult) {
// case 2: query result requires multiple buffers, send() returns ok
TUniqueId dummy_id;
get_next_instance_id(&dummy_id);
start_sender();
join_senders();
EXPECT_TRUE(_sender_info[0].status.ok());
EXPECT_GT(_sender_info[0].num_bytes_sent, 0);
}
TEST_F(DataStreamTest, Cancel) {
TUniqueId instance_id;
start_receiver(TPartitionType::UNPARTITIONED, 1, 1, 1024, false, &instance_id);
_stream_mgr->cancel(instance_id);
start_receiver(TPartitionType::UNPARTITIONED, 1, 1, 1024, true, &instance_id);
_stream_mgr->cancel(instance_id);
join_receivers();
EXPECT_TRUE(_receiver_info[0].status.is_cancelled());
}
TEST_F(DataStreamTest, BasicTest) {
// TODO: also test that all client connections have been returned
TPartitionType::type stream_types[] = {TPartitionType::UNPARTITIONED,
TPartitionType::HASH_PARTITIONED};
int sender_nums[] = {1, 3};
int receiver_nums[] = {1, 3};
int buffer_sizes[] = {1024, 1024 * 1024};
bool merging[] = {false, true};
// test_stream(TPartitionType::HASH_PARTITIONED, 1, 3, 1024, true);
for (int i = 0; i < sizeof(stream_types) / sizeof(*stream_types); ++i) {
for (int j = 0; j < sizeof(sender_nums) / sizeof(int); ++j) {
for (int k = 0; k < sizeof(receiver_nums) / sizeof(int); ++k) {
for (int l = 0; l < sizeof(buffer_sizes) / sizeof(int); ++l) {
for (int m = 0; m < sizeof(merging) / sizeof(bool); ++m) {
LOG(ERROR) << "before test: stream_type=" << stream_types[i]
<< " sender num=" << sender_nums[j]
<< " receiver_num=" << receiver_nums[k]
<< " buffer_size=" << buffer_sizes[l]
<< " merging=" << (merging[m] ? "true" : "false");
test_stream(stream_types[i], sender_nums[j], receiver_nums[k],
buffer_sizes[l], merging[m]);
LOG(ERROR) << "after test: stream_type=" << stream_types[i]
<< " sender num=" << sender_nums[j]
<< " receiver_num=" << receiver_nums[k]
<< " buffer_size=" << buffer_sizes[l]
<< " merging=" << (merging[m] ? "true" : "false");
}
}
}
}
}
}
// TODO: more tests:
// - test case for transmission error in last batch
// - receivers getting created concurrently
} // namespace doris
int main(int argc, char** argv) {
// std::string conffile = std::string(getenv("DORIS_HOME")) + "/conf/be.conf";
// if (!doris::config::init(conffile.c_str(), false)) {
// fprintf(stderr, "error read config file. conffile path= %s\n", conffile.c_str());
// return -1;
// }
doris::config::query_scratch_dirs = "/tmp";
doris::config::max_free_io_buffers = 128;
doris::config::disable_mem_pools = false;
doris::config::min_buffer_size = 1024;
doris::config::read_size = 8388608;
doris::config::port = 2001;
doris::config::thrift_connect_timeout_seconds = 20;
doris::init_glog("be-test");
::testing::InitGoogleTest(&argc, argv);
doris::CpuInfo::init();
doris::DiskInfo::init();
doris::MemInfo::init();
return RUN_ALL_TESTS();
}
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