TiDB TPC-C Performance Test Report -- v5.0 vs. v4.0

Test purpose

This test aims at comparing the TPC-C performance of TiDB v5.0 and TiDB v4.0 in the Online Transactional Processing (OLTP) scenario.

Test environment (AWS EC2)

Hardware configuration

Software version

Parameter configuration

TiDB v4.0 configuration

log.level: "error"
performance.max-procs: 20
prepared-plan-cache.enabled: true
tikv-client.max-batch-wait-time: 2000000

TiKV v4.0 configuration

pessimistic-txn.pipelined: true
raftdb.allow-concurrent-memtable-write: true
raftdb.max-background-jobs: 4
raftstore.apply-max-batch-size: 2048
raftstore.apply-pool-size: 3
raftstore.store-max-batch-size: 2048
raftstore.store-pool-size: 3
readpool.storage.normal-concurrency: 10
readpool.unified.max-thread-count: 20
readpool.unified.min-thread-count: 5
rocksdb.max-background-jobs: 8
server.grpc-concurrency: 6
storage.scheduler-worker-pool-size: 20

TiDB v5.0 configuration

log.level: "error"
performance.max-procs: 20
prepared-plan-cache.enabled: true
tikv-client.max-batch-wait-time: 2000000

TiKV v5.0 configuration

pessimistic-txn.pipelined: true
raftdb.allow-concurrent-memtable-write: true
raftdb.max-background-jobs: 4
raftstore.apply-max-batch-size: 2048
raftstore.apply-pool-size: 3
raftstore.store-max-batch-size: 2048
raftstore.store-pool-size: 3
readpool.storage.normal-concurrency: 10
readpool.unified.max-thread-count: 20
readpool.unified.min-thread-count: 5
rocksdb.max-background-jobs: 8
server.grpc-concurrency: 6
storage.scheduler-worker-pool-size: 20
server.enable-request-batch: false

TiDB v4.0 global variable configuration

set global tidb_hashagg_final_concurrency=1;
set global tidb_hashagg_partial_concurrency=1;

TiDB v5.0 global variable configuration

set global tidb_hashagg_final_concurrency=1;
set global tidb_hashagg_partial_concurrency=1;
set global tidb_enable_async_commit = 1;
set global tidb_enable_1pc = 1;
set global tidb_guarantee_linearizability = 0;
set global tidb_enable_clustered_index = 1;

Test plan

1. Deploy TiDB v5.0 and v4.0 using TiUP.

2. Use BenchmarkSQL to import the TPC-C 5000 Warehouse data.

   1. Compile BenchmarkSQL:

    ```bash
    git clone https://github.com/pingcap/benchmarksql && cd benchmarksql && ant
    ```

2. Enter the `run` directory, edit the `props.mysql` file according to the actual situation, and modify the `conn`, `warehouses`, `loadWorkers`, `terminals`, and `runMins` configuration items.

3. Execute the `runSQL.sh ./props.mysql sql.mysql/tableCreates.sql` command.

4. Execute the `runSQL.sh ./props.mysql sql.mysql/indexCreates.sql` command.

5. Run MySQL client and execute the `analyze table` statement on every table.

3. Execute the runBenchmark.sh ./props.mysql command.

4. Extract the tpmC data of New Order from the result.

Test result

According to the test statistics, the TPC-C performance of TiDB v5.0 has increased by 36% compared with that of TiDB v4.0.