Ecosystem tools overview¶
The core release number naming rule is
X.Y.Z, which means
Major version X,
Medium version Y, and
Minor version Z. The upgrade requirements for the client are:
- Upgrade the core from
X.Y.Z2: It means that the core is fully forward compatible and is usually used for bugfixes. It is recommended to upgrade the minor version of the core as soon as possible. At this time, the client can stay not upgraded.
- Upgrade the core from
X.Y2.*: It means that there is some incompatibility of API, syntax, and return value. It is usually used to add functions, improve performance, and optimize code. The client needs to be upgraded to
- Upgrade the core from
X2.*.*: It means that there is a major incompatibility in storage formats, API, syntax, etc. You need to use tools to upgrade the core data. The client must be upgraded.
- The default core and client do not support downgrade: You cannot downgrade from
- The release cycle of a
Yversion is about 6 months, and its maintenance and support cycle is 6 months.
- The version released at the beginning of the year is usually named
X.0.0, and in the middle of the year, it is named
- The file name contains
RCto indicate an unofficial version (
Release Candidate) that is only used for preview. Its maintenance period is only until the next RC or official version is released. Its client, data compatibility, etc. are not guaranteed.
- The files with
SNAPSHOT, or date are the nightly versions. There is no quality assurance and maintenance period.
All ecosystem tools of 1.x did not support Nebula Graph 2.x core.
Nebula Graph Studio¶
Nebula Graph Studio (Studio for short) is a graph database visualization tool that can be accessed through the Web. It can be used with Nebula Graph DBMS to provide one-stop services such as composition, data import, writing nGQL queries, and graph exploration. For details, see What is Nebula Graph Studio.
The release of the Studio is independent of Nebula Graph core, and its naming method is also not the same as the core naming rules. The compatible relationship between them is as follows.
|Nebula Graph||Studio (commit id)|
Nebula Dashboard (Dashboard for short) is a visualization tool for monitoring the status of machines and services in the Nebula Graph cluster. For details, see What is Nebula Dashboard.
|Nebula Graph version||Dashboard version (commit id)|
Nebula Explorer (Explorer for short) is a graph exploration visualization tool that can be accessed through the Web. It is used with the Nebula Graph core to visualize interaction with graph data. Users can quickly become map experts, even without experience in map data manipulation. For details, see What is Nebula Explorer.
|Nebula Graph version||Explorer version (commit id)|
Nebula Exchange (Exchange for short) is an Apache Spark&trade application for batch migration of data in a cluster to Nebula Graph in a distributed environment. It can support the migration of batch data and streaming data in a variety of different formats. For details, see What is Nebula Exchange.
|Nebula Graph version||Exchange version (commit id)|
Nebula Importer (Importer for short) is a CSV file import tool for Nebula Graph. The Importer can read the local CSV file, and then import the data into the Nebula Graph database. For details, see What is Nebula Importer.
|Nebula Graph version||Importer version(commit id)|
Nebula Spark Connector¶
Nebula Spark Connector is a Spark connector that provides the ability to read and write Nebula Graph data in the Spark standard format. Nebula Spark Connector consists of two parts, Reader and Writer. For details, see What is Nebula Spark Connector.
|Nebula Graph version||Spark Connector version (commit id)|
Nebula Flink Connector¶
Nebula Flink Connector is a connector that helps Flink users quickly access Nebula Graph. It supports reading data from the Nebula Graph database or writing data read from other external data sources to the Nebula Graph database. For details, see What is Nebula Flink Connector.
|Nebula Graph version||Flink Connector version (commit id)|
Nebula Algorithm (Algorithm for short) is a Spark application based on GraphX, which uses a complete algorithm tool to analyze data in the Nebula Graph database by submitting a Spark task To perform graph computing, use the algorithm under the lib repository through programming to perform graph computing for DataFrame. For details, see What is Nebula Algorithm.
|Nebula Graph version||Algorithm version (commit id)|
Nebula Console is the native CLI client of Nebula Graph. For how to use it, see Connect Nebula Graph.
|Nebula Graph version||Console version (commit id)|
Nebula Docker Compose¶
Docker Compose can quickly deploy Nebula Graph clusters. For how to use it, please refer to Docker Compose Deployment Nebula Graph.
|Nebula Graph version||Docker Compose version (commit id)|
Nebula Bench is used to test the baseline performance data of Nebula Graph. It uses the standard data set of LDBC v0.3.3.
|Nebula Graph version||Nebula Bench version (commit id)|
Select the latest version of
X.Y.* which is the same as the core version.
|Nebula Graph version||Language (commit id)|
- [Object Graph Mapping Library (OGM, or ORM)] Java, Python (TODO: in design)
- [Graph Computing] (TODO: in coding)