Feb 25, 2020
README
dbtester
Distributed database benchmark tester: etcd, Zookeeper, Consul, zetcd, cetcd
It includes github.com/golang/freetype, which is based in part on the work of the FreeType Team.
Performance Analysis
- Latest test results can be found at https://github.com/etcd-io/dbtester/tree/master/test-results
- Exploring Performance of etcd, Zookeeper and Consul Consistent Key-value Datastores (February 17, 2017)
Project
- Database Agent
- Database Client
- System Metrics
- Test Data Analysis
For etcd, we recommend etcd benchmark tool.
All logs and results can be found at https://github.com/etcd-io/dbtester/tree/master/test-results or https://console.cloud.google.com/storage/browser/dbtester-results/?authuser=0&project=etcd-development.
Noticeable Warnings: Zookeeper
Snapshot, when writing 1-million entries (256-byte key, 1KB value value), with 500 concurrent clients
# snapshot warnings
cd 2017Q1-00-etcd-zookeeper-consul/02-write-1M-keys-best-throughput
grep -r -i fsync-ing\ the zookeeper-r3.4.9-java8-* | less
2017-02-10 18:55:38,997 [myid:3] - WARN [SyncThread:3:SyncRequestProcessor@148] - Too busy to snap, skipping
2017-02-10 18:55:38,998 [myid:3] - INFO [SyncThread:3:FileTxnLog@203] - Creating new log file: log.1000c0c51
2017-02-10 18:55:40,855 [myid:3] - INFO [SyncThread:3:FileTxnLog@203] - Creating new log file: log.1000cd2e6
2017-02-10 18:55:40,855 [myid:3] - INFO [Snapshot Thread:FileTxnSnapLog@240] - Snapshotting: 0x1000cd1ca to /home/gyuho/zookeeper/zookeeper.data/version-2/snapshot.1000cd1ca
2017-02-10 18:55:46,382 [myid:3] - WARN [SyncThread:3:FileTxnLog@338] - fsync-ing the write ahead log in SyncThread:3 took 1062ms which will adversely effect operation latency. See the ZooKeeper troubleshooting guide
2017-02-10 18:55:47,471 [myid:3] - WARN [SyncThread:3:FileTxnLog@338] - fsync-ing the write ahead log in SyncThread:3 took 1084ms which will adversely effect operation latency. See the ZooKeeper troubleshooting guide
2017-02-10 18:55:49,425 [myid:3] - WARN [SyncThread:3:FileTxnLog@338] - fsync-ing the write ahead log in SyncThread:3 took 1142ms which will adversely effect operation latency. See the ZooKeeper troubleshooting guide
2017-02-10 18:55:51,188 [myid:3] - WARN [SyncThread:3:FileTxnLog@338] - fsync-ing the write ahead log in SyncThread:3 took 1201ms which will adversely effect operation latency. See the ZooKeeper troubleshooting guide
2017-02-10 18:55:52,292 [myid:3] - WARN [SyncThread:3:FileTxnLog@338] - fsync-ing the write ahead log in SyncThread:3 took 1102ms which will adversely effect operation latency. See the ZooKeeper troubleshooting guide
When writing more than 2-million entries (256-byte key, 1KB value value) with 500 concurrent clients
# leader election
cd 2017Q1-00-etcd-zookeeper-consul/04-write-too-many-keys
grep -r -i election\ took zookeeper-r3.4.9-java8-* | less
# leader election is taking more than 10 seconds...
zookeeper-r3.4.9-java8-2-database.log:2017-02-10 19:22:16,549 [myid:2] - INFO [QuorumPeer[myid=2]/0:0:0:0:0:0:0:0:2181:Follower@61] - FOLLOWING - LEADER ELECTION TOOK - 22978
zookeeper-r3.4.9-java8-2-database.log:2017-02-10 19:23:02,279 [myid:2] - INFO [QuorumPeer[myid=2]/0:0:0:0:0:0:0:0:2181:Leader@361] - LEADING - LEADER ELECTION TOOK - 10210
zookeeper-r3.4.9-java8-2-database.log:2017-02-10 19:23:14,498 [myid:2] - INFO [QuorumPeer[myid=2]/0:0:0:0:0:0:0:0:2181:Leader@361] - LEADING - LEADER ELECTION TOOK - 203
zookeeper-r3.4.9-java8-2-database.log:2017-02-10 19:23:36,303 [myid:2] - INFO [QuorumPeer[myid=2]/0:0:0:0:0:0:0:0:2181:Leader@361] - LEADING - LEADER ELECTION TOOK - 9791
zookeeper-r3.4.9-java8-2-database.log:2017-02-10 19:23:52,151 [myid:2] - INFO [QuorumPeer[myid=2]/0:0:0:0:0:0:0:0:2181:Leader@361] - LEADING - LEADER ELECTION TOOK - 3836
zookeeper-r3.4.9-java8-2-database.log:2017-02-10 19:24:13,849 [myid:2] - INFO [QuorumPeer[myid=2]/0:0:0:0:0:0:0:0:2181:Leader@361] - LEADING - LEADER ELECTION TOOK - 9686
zookeeper-r3.4.9-java8-2-database.log:2017-02-10 19:24:29,694 [myid:2] - INFO [QuorumPeer[myid=2]/0:0:0:0:0:0:0:0:2181:Leader@361] - LEADING - LEADER ELECTION TOOK - 3573
zookeeper-r3.4.9-java8-2-database.log:2017-02-10 19:24:51,392 [myid:2] - INFO [QuorumPeer[myid=2]/0:0:0:0:0:0:0:0:2181:Leader@361] - LEADING - LEADER ELECTION TOOK - 8686
zookeeper-r3.4.9-java8-2-database.log:2017-02-10 19:25:07,231 [myid:2] - INFO [QuorumPeer[myid=2]/0:0:0:0:0:0:0:0:2181:Leader@361] - LEADING - LEADER ELECTION TOOK - 3827
zookeeper-r3.4.9-java8-2-database.log:2017-02-10 19:25:28,940 [myid:2] - INFO [QuorumPeer[myid=2]/0:0:0:0:0:0:0:0:2181:Leader@361] - LEADING - LEADER ELECTION TOOK - 9697
zookeeper-r3.4.9-java8-2-database.log:2017-02-10 19:25:44,772 [myid:2] - INFO [QuorumPeer[myid=2]/0:0:0:0:0:0:0:0:2181:Leader@361] - LEADING - LEADER ELECTION TOOK - 3820
Noticeable Warnings: Consul
Snapshot, when writing 1-million entries (256-byte key, 1KB value value), with 500 concurrent clients
# snapshot warnings
cd 2017Q1-00-etcd-zookeeper-consul/02-write-1M-keys-best-throughput
grep -r -i installed\ remote consul-v0.7.4-go1.7.5-* | less
2017/02/10 18:58:43 [INFO] snapshot: Creating new snapshot at /home/gyuho/consul.data/raft/snapshots/2-900345-1486753123478.tmp
2017/02/10 18:58:45 [INFO] snapshot: reaping snapshot /home/gyuho/consul.data/raft/snapshots/2-849399-1486753096972
2017/02/10 18:58:46 [INFO] raft: Copied 1223270573 bytes to local snapshot
2017/02/10 18:58:55 [INFO] raft: Compacting logs from 868354 to 868801
2017/02/10 18:58:56 [INFO] raft: Installed remote snapshot
2017/02/10 18:58:57 [INFO] snapshot: Creating new snapshot at /home/gyuho/consul.data/raft/snapshots/2-911546-1486753137827.tmp
2017/02/10 18:58:59 [INFO] consul.fsm: snapshot created in 32.255µs
2017/02/10 18:59:01 [INFO] snapshot: reaping snapshot /home/gyuho/consul.data/raft/snapshots/2-873921-1486753116619
2017/02/10 18:59:02 [INFO] raft: Copied 1238491373 bytes to local snapshot
2017/02/10 18:59:11 [INFO] raft: Compacting logs from 868802 to 868801
2017/02/10 18:59:11 [INFO] raft: Installed remote snapshot
Logs do not tell much but average latency spikes (e.g. from 70.27517 ms to 10407.900082 ms)
Write 1M keys, 256-byte key, 1KB value, Best Throughput (etcd 1K clients with 100 conns, Zookeeper 700, Consul 500 clients)
- Google Cloud Compute Engine
- 4 machines of 16 vCPUs + 60 GB Memory + 300 GB SSD (1 for client)
- Ubuntu 17.10 (GNU/Linux kernel 4.13.0-25-generic)
ulimit -nis 120000- etcd v3.3.0 (Go 1.9.2)
- Zookeeper r3.5.3-beta
- Java 8
- javac 1.8.0_151
- Java(TM) SE Runtime Environment (build 1.8.0_151-b12)
- Java HotSpot(TM) 64-Bit Server VM (build 25.151-b12, mixed mode)
/usr/bin/java -Djute.maxbuffer=33554432 -Xms50G -Xmx50G
- Consul v1.0.2 (Go 1.9.2)
+---------------------------------------+---------------------+-----------------------------+-----------------------+
| | etcd-v3.3.0-go1.9.2 | zookeeper-r3.5.3-beta-java8 | consul-v1.0.2-go1.9.2 |
+---------------------------------------+---------------------+-----------------------------+-----------------------+
| TOTAL-SECONDS | 28.3623 sec | 59.2167 sec | 178.9443 sec |
| TOTAL-REQUEST-NUMBER | 1,000,000 | 1,000,000 | 1,000,000 |
| MAX-THROUGHPUT | 37,330 req/sec | 25,124 req/sec | 15,865 req/sec |
| AVG-THROUGHPUT | 35,258 req/sec | 16,842 req/sec | 5,588 req/sec |
| MIN-THROUGHPUT | 13,505 req/sec | 20 req/sec | 0 req/sec |
| FASTEST-LATENCY | 4.6073 ms | 2.9094 ms | 11.6604 ms |
| AVG-LATENCY | 28.2625 ms | 30.9499 ms | 89.4351 ms |
| SLOWEST-LATENCY | 117.4918 ms | 4564.6788 ms | 4616.2947 ms |
| Latency p10 | 13.508626 ms | 9.068163 ms | 30.408863 ms |
| Latency p25 | 16.869586 ms | 9.351597 ms | 34.224021 ms |
| Latency p50 | 22.167478 ms | 10.093377 ms | 39.881181 ms |
| Latency p75 | 34.855941 ms | 14.951189 ms | 52.644787 ms |
| Latency p90 | 54.613394 ms | 28.497256 ms | 118.340402 ms |
| Latency p95 | 59.785127 ms | 72.671788 ms | 229.129526 ms |
| Latency p99 | 74.139638 ms | 273.218523 ms | 1495.660763 ms |
| Latency p99.9 | 97.385495 ms | 2526.873285 ms | 3499.225138 ms |
| SERVER-TOTAL-NETWORK-RX-DATA-SUM | 5.1 GB | 4.6 GB | 5.6 GB |
| SERVER-TOTAL-NETWORK-TX-DATA-SUM | 3.8 GB | 3.6 GB | 4.4 GB |
| CLIENT-TOTAL-NETWORK-RX-SUM | 252 MB | 357 MB | 206 MB |
| CLIENT-TOTAL-NETWORK-TX-SUM | 1.5 GB | 1.4 GB | 1.5 GB |
| SERVER-MAX-CPU-USAGE | 446.83 % | 1122.00 % | 426.33 % |
| SERVER-MAX-MEMORY-USAGE | 1.1 GB | 15 GB | 4.6 GB |
| CLIENT-MAX-CPU-USAGE | 606.00 % | 314.00 % | 215.00 % |
| CLIENT-MAX-MEMORY-USAGE | 96 MB | 2.4 GB | 86 MB |
| CLIENT-ERROR-COUNT | 0 | 2,652 | 0 |
| SERVER-AVG-READS-COMPLETED-DELTA-SUM | 0 | 237 | 2 |
| SERVER-AVG-SECTORS-READS-DELTA-SUM | 0 | 0 | 0 |
| SERVER-AVG-WRITES-COMPLETED-DELTA-SUM | 108,067 | 157,034 | 675,072 |
| SERVER-AVG-SECTORS-WRITTEN-DELTA-SUM | 20,449,360 | 16,480,488 | 106,836,768 |
| SERVER-AVG-DISK-SPACE-USAGE | 2.6 GB | 6.9 GB | 2.9 GB |
+---------------------------------------+---------------------+-----------------------------+-----------------------+
zookeeper__r3_5_3_beta errors:
"zk: connection closed" (count 2,264)
"zk: could not connect to a server" (count 388)
Documentation
Index ¶
- Variables
- func MakeTag(desc string) string
- type Config
- func (cfg *Config) BroadcaseRequest(databaseID string, op dbtesterpb.Operation) (map[int]dbtesterpb.Response, error)
- func (cfg *Config) SaveDiskSpaceUsageSummary(databaseID string, idxToResponse map[int]dbtesterpb.Response) error
- func (cfg *Config) Stress(databaseID string) error
- func (cfg *Config) ToRequest(databaseID string, op dbtesterpb.Operation, idx int) (req *dbtesterpb.Request, err error)
- func (cfg *Config) UploadToGoogle(databaseID string, targetPath string) error
- func (cfg *Config) WriteREADME(summary string) error
- type CumulativeKeyNumAndOtherData
- type CumulativeKeyNumAndOtherDataByUnixSecond
- type CumulativeKeyNumAndOtherDataSlice
- type CumulativeKeyNumToAvgLatency
- type CumulativeKeyNumToAvgLatencySlice
- type ReqHandler
Constants ¶
This section is empty.
Variables ¶
var DiskSpaceUsageSummaryColumns = []string{ "INDEX", "DATABASE-ENDPOINT", "DISK-SPACE-USAGE", "DISK-SPACE-USAGE-BYTES-NUM", }
DiskSpaceUsageSummaryColumns defines summary columns.
Functions ¶
Types ¶
type Config ¶
type Config struct {
TestTitle string `yaml:"test_title"`
TestDescription string `yaml:"test_description"`
dbtesterpb.ConfigClientMachineInitial `yaml:"config_client_machine_initial"`
AllDatabaseIDList []string `yaml:"all_database_id_list"`
DatabaseIDToConfigClientMachineAgentControl map[string]dbtesterpb.ConfigClientMachineAgentControl `yaml:"datatbase_id_to_config_client_machine_agent_control"`
DatabaseIDToConfigAnalyzeMachineInitial map[string]dbtesterpb.ConfigAnalyzeMachineInitial `yaml:"datatbase_id_to_config_analyze_machine_initial"`
dbtesterpb.ConfigAnalyzeMachineAllAggregatedOutput `yaml:"analyze_all_aggregated_output"`
AnalyzePlotPathPrefix string `yaml:"analyze_plot_path_prefix"`
AnalyzePlotList []dbtesterpb.ConfigAnalyzeMachinePlot `yaml:"analyze_plot_list"`
dbtesterpb.ConfigAnalyzeMachineREADME `yaml:"analyze_readme"`
// contains filtered or unexported fields
}
Config configures dbtester control clients.
func ReadConfig ¶
func ReadConfig(fpath string, analyze bool) (*Config, error)
ReadConfig reads control configuration file.
func (*Config) BroadcaseRequest ¶
func (cfg *Config) BroadcaseRequest(databaseID string, op dbtesterpb.Operation) (map[int]dbtesterpb.Response, error)
BroadcaseRequest sends request to all endpoints.
func (*Config) SaveDiskSpaceUsageSummary ¶
func (cfg *Config) SaveDiskSpaceUsageSummary(databaseID string, idxToResponse map[int]dbtesterpb.Response) error
SaveDiskSpaceUsageSummary saves data size summary.
func (*Config) Stress ¶
func (cfg *Config) Stress(databaseID string) error
Stress stresses the database.
func (*Config) ToRequest ¶
func (cfg *Config) ToRequest(databaseID string, op dbtesterpb.Operation, idx int) (req *dbtesterpb.Request, err error)
ToRequest converts configuration to 'dbtesterpb.Request'.
func (*Config) UploadToGoogle ¶
func (cfg *Config) UploadToGoogle(databaseID string, targetPath string) error
UploadToGoogle uploads target file to Google Cloud Storage.
func (*Config) WriteREADME ¶
func (cfg *Config) WriteREADME(summary string) error
WriteREADME writes README.
type CumulativeKeyNumAndOtherData ¶
type CumulativeKeyNumAndOtherData struct {
UnixSecond int64
Throughput int64
CumulativeKeyNum int64
MinMemoryMB float64
AvgMemoryMB float64
MaxMemoryMB float64
AvgReadBytesDelta float64
AvgWriteBytesDelta float64
}
CumulativeKeyNumAndOtherData wraps the cumulative number of keys and according memory data. So the higher 'CumulativeKeyNum' is, the later the data points are in the time series.
type CumulativeKeyNumAndOtherDataByUnixSecond ¶
type CumulativeKeyNumAndOtherDataByUnixSecond []CumulativeKeyNumAndOtherData
CumulativeKeyNumAndOtherDataByUnixSecond is a slice of CumulativeKeyNumAndOtherData to sort by UnixSecond.
func (CumulativeKeyNumAndOtherDataByUnixSecond) Len ¶
func (t CumulativeKeyNumAndOtherDataByUnixSecond) Len() int
func (CumulativeKeyNumAndOtherDataByUnixSecond) Less ¶
func (t CumulativeKeyNumAndOtherDataByUnixSecond) Less(i, j int) bool
func (CumulativeKeyNumAndOtherDataByUnixSecond) Swap ¶
func (t CumulativeKeyNumAndOtherDataByUnixSecond) Swap(i, j int)
type CumulativeKeyNumAndOtherDataSlice ¶
type CumulativeKeyNumAndOtherDataSlice []CumulativeKeyNumAndOtherData
CumulativeKeyNumAndOtherDataSlice is a slice of CumulativeKeyNumAndOtherData to sort by CumulativeKeyNum.
func FindRangesData ¶
func FindRangesData(data []CumulativeKeyNumAndOtherData, unit int64, totalRequests int64) CumulativeKeyNumAndOtherDataSlice
FindRangesData sorts all data points by its timestamp. And then aggregate by the cumulative throughput, in order to map the number of keys to the average memory usage.
func (CumulativeKeyNumAndOtherDataSlice) Len ¶
func (t CumulativeKeyNumAndOtherDataSlice) Len() int
func (CumulativeKeyNumAndOtherDataSlice) Less ¶
func (t CumulativeKeyNumAndOtherDataSlice) Less(i, j int) bool
func (CumulativeKeyNumAndOtherDataSlice) Swap ¶
func (t CumulativeKeyNumAndOtherDataSlice) Swap(i, j int)
type CumulativeKeyNumToAvgLatency ¶
type CumulativeKeyNumToAvgLatency struct {
CumulativeKeyNum int64
MinLatency time.Duration
AvgLatency time.Duration
MaxLatency time.Duration
}
CumulativeKeyNumToAvgLatency wraps the cumulative number of keys and according latency data. So the higher 'CumulativeKeyNum' is, the later the data points are in the time series.
type CumulativeKeyNumToAvgLatencySlice ¶
type CumulativeKeyNumToAvgLatencySlice []CumulativeKeyNumToAvgLatency
CumulativeKeyNumToAvgLatencySlice is a slice of CumulativeKeyNumToAvgLatency to sort by CumulativeKeyNum.
func FindRangesLatency ¶
func FindRangesLatency(data report.TimeSeries, unit int64, totalRequests int64) CumulativeKeyNumToAvgLatencySlice
FindRangesLatency sorts all data points by its timestamp. And then aggregate by the cumulative throughput, in order to map the number of keys to the average latency.
type DataPoint struct {
Timestamp int64
MinLatency time.Duration
AvgLatency time.Duration
MaxLatency time.Duration
ThroughPut int64
}
If unit is 1000 and the average throughput per second is 30,000 and its average latency is 10ms, it will have 30 data points with latency 10ms.
func (CumulativeKeyNumToAvgLatencySlice) Len ¶
func (t CumulativeKeyNumToAvgLatencySlice) Len() int
func (CumulativeKeyNumToAvgLatencySlice) Less ¶
func (t CumulativeKeyNumToAvgLatencySlice) Less(i, j int) bool
func (CumulativeKeyNumToAvgLatencySlice) Swap ¶
func (t CumulativeKeyNumToAvgLatencySlice) Swap(i, j int)
type ReqHandler ¶
type ReqHandler func(ctx context.Context, req *request) error
ReqHandler wraps request handler.
Source Files
Directories
| Path | Synopsis |
|---|---|
| agent | Package agent is a database agent in remote servers. |
| analyze | Package analyze analyzes the bench test results, specific to dbtester tests. |
| cmd/dbtester | dbtester is distributed database tester. |
| control | Package control controls the database agents and benchmark testers. |
| dbtesterpb | Package dbtesterpb is a generated protocol buffer package. |
| pkg/fileinspect | Package fileinspect implements various file inspecting utils. |
| pkg/ntp | Package ntp syncs system time with NTP server. |
| pkg/remotestorage | Package remotestorage wraps cloud storage API. |
| pkg/remotestorage/example |