HugeGraph-API Performance on Apache HugeGraph

v0.5.6 Stand-alone(RocksDB)

Mon, 01 Jan 0001 00:00:00 +0000

1 Test environment

Compressed machine information:

CPU	Memory	网卡	磁盘
48 Intel(R) Xeon(R) CPU E5-2650 v4 @ 2.20GHz	128G	10000Mbps	750GB SSD,2.7T HDD

Information about the machine used to generate load: configured the same as the machine that is being tested under load.
Testing tool: Apache JMeter 2.5.1

Note: The load-generating machine and the machine under test are located in the same local network.

2 Test description

2.1 Definition of terms (the unit of time is ms)

Samples: The total number of threads completed in the current scenario.
Average: The average response time.
Median: The statistical median of the response time.
90% Line: The response time below which 90% of all threads fall.
Min: The minimum response time.
Max: The maximum response time.
Error: The error rate.
Throughput: The number of requests processed per unit of time.
KB/sec: Throughput measured in terms of data transferred per second.

2.2 Underlying storage

RocksDB is used for backend storage, HugeGraph and RocksDB are both started on the same machine, and the configuration files related to the server remain as default except for the modification of the host and port.

v0.5.6 Cluster(Cassandra)

Mon, 01 Jan 0001 00:00:00 +0000

1 Test environment

Compressed machine information

CPU	Memory	网卡	磁盘
48 Intel(R) Xeon(R) CPU E5-2650 v4 @ 2.20GHz	128G	10000Mbps	750GB SSD,2.7T HDD

Starting Pressure Machine Information: Configured the same as the compressed machine.
Testing tool: Apache JMeter 2.5.1.

Note: The machine used to initiate the load and the machine being tested are located in the same data center (or server room)

2 Test Description

2.1 Definition of terms (the unit of time is ms)

Samples – The total number of threads completed in this scenario.
Average – The average response time.
Median – The median response time in statistical terms.
90% Line – The response time below which 90% of all threads fall.
Min – The minimum response time.
Max – The maximum response time.
Error – The error rate.
Throughput – The number of transactions processed per unit of time.
KB/sec – The throughput measured in terms of data transmitted per second.

2.2 Low-Level Storage

A 15-node Cassandra cluster is used for backend storage. HugeGraph and the Cassandra cluster are located on separate servers. Server-related configuration files are modified only for host and port settings, while the rest remain default.