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apache / incubator-hugegraph

A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
https://hugegraph.apache.org
Apache License 2.0
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[Question] Hugegraph 支持 server 连接远程数据库进行查询吗 #2412

Closed SkrDrag closed 5 months ago

SkrDrag commented 6 months ago

Feature Description (功能描述)

目前Hugegraph支持server连接远程数据库进行查询吗？

dosubot[bot] commented 6 months ago

🤖

你好 @SkrDrag! 😊 我是Dosu，一个可以帮助你解决问题、回答问题，并成为贡献者的机器人。在等待人类维护者的同时，我在这里为您提供帮助。 🤖

是的，Hugegraph确实支持连接远程数据库进行查询。在Hugegraph的配置文件backend.properties中，可以看到Hugegraph支持的后端数据库类型，包括cassandra、scylladb、rocksdb、mysql、palo、hbase和postgresql。这意味着Hugegraph可以配置为连接到这些类型的远程数据库服务器。

要配置Hugegraph连接到远程数据库服务器，您需要修改hugegraph.properties文件。具体步骤如下：

  1. 打开位于hugegraph-server/hugegraph-example/src/main/resources/hugegraph.properties的hugegraph.properties文件。

  2. 根据您的远程数据库类型，取消注释相应的后端配置并填写必要的信息。例如，如果您的远程数据库是MySQL，您需要修改以下行：

jdbc.driver=com.mysql.jdbc.Driver
jdbc.url=jdbc:mysql://<remote-database-ip>:3306/<database-name>
jdbc.username=<your-username>
jdbc.password=<your-password>
jdbc.reconnect_max_times=3
jdbc.reconnect_interval=3

将<remote-database-ip>、<database-name>、<your-username>和<your-password>替换为您实际的远程MySQL服务器IP、数据库名称、用户名和密码。

  1. 如果您的远程数据库是Cassandra，您需要修改以下行：
cassandra.host=<remote-database-ip>
cassandra.port=9042
cassandra.username=<your-username>
cassandra.password=<your-password>

将<remote-database-ip>、<your-username>和<your-password>替换为您实际的远程Cassandra服务器IP、用户名和密码。

  1. 保存更改并重新启动Hugegraph服务器以使更改生效。

请注意，您需要具有访问远程数据库服务器的必要权限。

对于其他类型的远程数据库，如ScyllaDB、RocksDB、Palo、HBase和PostgreSQL，您也可以通过修改hugegraph.properties文件来配置Hugegraph。每种数据库的具体步骤如下：

  1. ScyllaDB：ScyllaDB使用与Cassandra相同的协议，因此您可以使用Cassandra配置。取消注释Cassandra配置，并将backend和serializer属性设置为cassandra。
backend=cassandra
serializer=cassandra
cassandra.host=<your ScyllaDB host>
cassandra.port=<your ScyllaDB port>
cassandra.username=<your ScyllaDB username>
cassandra.password=<your ScyllaDB password>
  1. RocksDB：取消注释RocksDB配置，并将backend和serializer属性设置为rocksdb。
backend=rocksdb
serializer=binary
rocksdb.data_path=<your RocksDB data path>
rocksdb.wal_path=<your RocksDB wal path>
  1. Palo：取消注释Palo配置，并将backend和serializer属性设置为palo。
backend=palo
serializer=binary
palo.host=<your Palo host>

  1. HBase：在给定的上下文中，Hugegraph没有为HBase提供直接配置，因此无法提供配置Hugegraph连接到HBase的步骤。

  2. PostgreSQL：取消注释PostgreSQL配置，并将backend和serializer属性设置为postgresql。

backend=postgresql
serializer=binary
jdbc.driver=org.postgresql.Driver
jdbc.url=jdbc:postgresql://<your PostgreSQL host>:5432/
jdbc.username=<your PostgreSQL username>
jdbc.password=<your PostgreSQL password>

请将<your ...>替换为您的实际值。

以上信息可以在hugegraph-server/hugegraph-example/src/main/resources/hugegraph.properties找到。

Sources

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SkrDrag commented 6 months ago

🤖

你好 @SkrDrag! 😊 我是Dosu，一个可以帮助你解决问题、回答问题，并成为贡献者的机器人。在等待人类维护者的同时，我在这里为您提供帮助。 🤖

是的，Hugegraph确实支持连接远程数据库进行查询。在Hugegraph的配置文件backend.properties中，可以看到Hugegraph支持的后端数据库类型，包括cassandra、scylladb、rocksdb、mysql、palo、hbase和postgresql。这意味着Hugegraph可以配置为连接到这些类型的远程数据库服务器。

要配置Hugegraph连接到远程数据库服务器，您需要修改hugegraph.properties文件。具体步骤如下：

  1. 打开位于hugegraph-server/hugegraph-example/src/main/resources/hugegraph.properties的hugegraph.properties文件。
  2. 根据您的远程数据库类型，取消注释相应的后端配置并填写必要的信息。例如，如果您的远程数据库是MySQL，您需要修改以下行：
jdbc.driver=com.mysql.jdbc.Driver
jdbc.url=jdbc:mysql://<remote-database-ip>:3306/<database-name>
jdbc.username=<your-username>
jdbc.password=<your-password>
jdbc.reconnect_max_times=3
jdbc.reconnect_interval=3

将<remote-database-ip>、<database-name>、<your-username>和<your-password>替换为您实际的远程MySQL服务器IP、数据库名称、用户名和密码。

  1. 如果您的远程数据库是Cassandra，您需要修改以下行：
cassandra.host=<remote-database-ip>
cassandra.port=9042
cassandra.username=<your-username>
cassandra.password=<your-password>

将<remote-database-ip>、<your-username>和<your-password>替换为您实际的远程Cassandra服务器IP、用户名和密码。

  1. 保存更改并重新启动Hugegraph服务器以使更改生效。

请注意，您需要具有访问远程数据库服务器的必要权限。

对于其他类型的远程数据库，如ScyllaDB、RocksDB、Palo、HBase和PostgreSQL，您也可以通过修改hugegraph.properties文件来配置Hugegraph。每种数据库的具体步骤如下：

  1. ScyllaDB：ScyllaDB使用与Cassandra相同的协议，因此您可以使用Cassandra配置。取消注释Cassandra配置，并将backend和serializer属性设置为cassandra。
backend=cassandra
serializer=cassandra
cassandra.host=<your ScyllaDB host>
cassandra.port=<your ScyllaDB port>
cassandra.username=<your ScyllaDB username>
cassandra.password=<your ScyllaDB password>
  1. RocksDB：取消注释RocksDB配置，并将backend和serializer属性设置为rocksdb。
backend=rocksdb
serializer=binary
rocksdb.data_path=<your RocksDB data path>
rocksdb.wal_path=<your RocksDB wal path>
  1. Palo：取消注释Palo配置，并将backend和serializer属性设置为palo。
backend=palo
serializer=binary
palo.host=<your Palo host>
  1. HBase：在给定的上下文中，Hugegraph没有为HBase提供直接配置，因此无法提供配置Hugegraph连接到HBase的步骤。
  2. PostgreSQL：取消注释PostgreSQL配置，并将backend和serializer属性设置为postgresql。
backend=postgresql
serializer=binary
jdbc.driver=org.postgresql.Driver
jdbc.url=jdbc:postgresql://<your PostgreSQL host>:5432/
jdbc.username=<your PostgreSQL username>
jdbc.password=<your PostgreSQL password>

请将<your ...>替换为您的实际值。

以上信息可以在hugegraph-server/hugegraph-example/src/main/resources/hugegraph.properties找到。

Sources

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Hugegraph查询远程数据库和查询本地数据库的接口有区别吗

dosubot[bot] commented 6 months ago

🤖

Based on the information available in the HugeGraph codebase, there is no explicit difference between the interfaces for querying a remote database and a local database. The methods provided in the GraphTransaction.java file, such as queryEdgesByVertex(Id id), queryEdges(Object... edgeIds), queryEdge(Object edgeId), and queryEdges() are used to query edges in the graph database, regardless of whether the database is local or remote.

The actual difference between querying a local or remote database would likely be handled at a lower level, such as the connection to the database. The same methods would be used to query the database, but the underlying implementation of those methods would handle the specifics of connecting to and querying a local or remote database.

As for the specific methods in the GraphTransaction.java file that handle the connection to the database, the GraphTransaction.java file does not contain any specific methods that handle the connection to the database. The file primarily contains methods for managing transactions, including adding, updating, and deleting vertices and edges, as well as handling properties and indices.

The connection to the database is likely managed elsewhere in the codebase, possibly in the BackendStore class or another class that interacts directly with the database. The GraphTransaction class appears to interact with the database indirectly through these other classes.

For example, the GraphTransaction constructor takes a BackendStore object as an argument, which is likely used to interact with the database:

public GraphTransaction(HugeGraphParams graph, BackendStore store) {
    super(graph, store);
    ...
}

And the prepareCommit method prepares the data to be committed to the database, but does not itself handle the database connection:

@Watched(prefix = "tx")
@Override
protected BackendMutation prepareCommit() {
    ...
    return this.mutation();
}

Without additional context or access to other parts of the codebase, it's not possible to provide more specific information about how the database connection is handled. If you have more specific questions or need further clarification, please provide more details.

Sources

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Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

SkrDrag commented 6 months ago

🤖

Based on the information available in the HugeGraph codebase, there is no explicit difference between the interfaces for querying a remote database and a local database. The methods provided in the GraphTransaction.java file, such as queryEdgesByVertex(Id id), queryEdges(Object... edgeIds), queryEdge(Object edgeId), and queryEdges() are used to query edges in the graph database, regardless of whether the database is local or remote.

The actual difference between querying a local or remote database would likely be handled at a lower level, such as the connection to the database. The same methods would be used to query the database, but the underlying implementation of those methods would handle the specifics of connecting to and querying a local or remote database.

As for the specific methods in the GraphTransaction.java file that handle the connection to the database, the GraphTransaction.java file does not contain any specific methods that handle the connection to the database. The file primarily contains methods for managing transactions, including adding, updating, and deleting vertices and edges, as well as handling properties and indices.

The connection to the database is likely managed elsewhere in the codebase, possibly in the BackendStore class or another class that interacts directly with the database. The GraphTransaction class appears to interact with the database indirectly through these other classes.

For example, the GraphTransaction constructor takes a BackendStore object as an argument, which is likely used to interact with the database:

public GraphTransaction(HugeGraphParams graph, BackendStore store) {
    super(graph, store);
    ...
}

And the prepareCommit method prepares the data to be committed to the database, but does not itself handle the database connection:

@Watched(prefix = "tx")
@Override
protected BackendMutation prepareCommit() {
    ...
    return this.mutation();
}

Without additional context or access to other parts of the codebase, it's not possible to provide more specific information about how the database connection is handled. If you have more specific questions or need further clarification, please provide more details.

Sources

This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

可以解释一下BackendStore类如何与数据库连接吗

dosubot[bot] commented 6 months ago

🤖

🤖

在HugeGraph中，BackendStore是一个接口，定义了与数据库交互的方法。然而，这个类并没有直接处理与数据库的连接。这个接口中定义的方法在扩展这个接口的类中实现。

这里有一些与数据库操作相关的关键方法：

  • open(HugeConfig config): 此方法用于打开数据库连接。实际的实现将取决于正在使用的特定数据库。

  • close(): 此方法用于关闭数据库连接。

  • mutate(BackendMutation mutation): 此方法用于在数据库中添加或删除数据。

  • query(Query query): 此方法用于从数据库查询数据。

  • beginTx(), commitTx(), rollbackTx(): 这些方法用于处理事务。

实际的数据库连接将在实现这个接口的类中处理，具体的实现将取决于正在使用的数据库类型。例如，如果你正在使用MySQL数据库，你将有一个实现BackendStore接口的类，并使用JDBC API连接到MySQL数据库。

源码：

根据提供的上下文，CachedBackendStore类实现了BackendStore接口。这个类位于org.apache.hugegraph.backend.cache包中。

然而，没有额外的上下文，无法确定HugeGraph代码库中是否还有其他类也实现了BackendStore接口。

因此，答案是：CachedBackendStore是实现BackendStore接口的类之一。

来自上下文的证据：

public class CachedBackendStore implements BackendStore {
    ...
}

源码：

HugeFactoryAuthProxy类中的open(HugeConfig config)方法通过调用HugeFactory类的open(Configuration config)方法来建立与数据库的连接。这个方法返回一个HugeGraph实例，代表了与图数据库的连接。

这里是相关的代码：

public static synchronized HugeGraph open(Configuration config) {
    /*
     * Inject authentication (replace HugeGraph with HugeGraphAuthProxy)
     * TODO: Add verify to StandardHugeGraph() to prevent dynamic creation
     */
    HugeGraph graph = HugeFactory.open(config);
    HugeGraph proxy = GRAPHS.get(graph);
    if (proxy == null) {
        proxy = new HugeGraphAuthProxy(graph);
        GRAPHS.put(graph, proxy);
    }
    return proxy;
}

在这个方法中，HugeFactory.open(config)调用负责建立与数据库的连接。config参数是一个Configuration对象，包含了数据库连接的配置设置，如数据库URL、用户名、密码等。

获取到HugeGraph实例后，它被包装在一个HugeGraphAuthProxy实例中以添加认证功能。HugeGraphAuthProxy实例然后被存储在一个静态的GRAPHS映射中以供将来使用，并返回给调用者。

源码：

这个回答旨在节省你的时间，提供有用的信息。它并不是一个精确的解决方案，而是你自己研究的起点。

帮助我变得更有用！如果这个回答对你有帮助，请给我一个👍，如果无关，请给我一个👎。

如果你想继续对话，回复时请以@dosu-bot开头。

Sources

This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

SkrDrag commented 5 months ago

🤖

🤖 在HugeGraph中，BackendStore是一个接口，定义了与数据库交互的方法。然而，这个类并没有直接处理与数据库的连接。这个接口中定义的方法在扩展这个接口的类中实现。 这里有一些与数据库操作相关的关键方法：

  • open(HugeConfig config): 此方法用于打开数据库连接。实际的实现将取决于正在使用的特定数据库。
  • close(): 此方法用于关闭数据库连接。
  • mutate(BackendMutation mutation): 此方法用于在数据库中添加或删除数据。
  • query(Query query): 此方法用于从数据库查询数据。
  • beginTx(), commitTx(), rollbackTx(): 这些方法用于处理事务。

实际的数据库连接将在实现这个接口的类中处理，具体的实现将取决于正在使用的数据库类型。例如，如果你正在使用MySQL数据库，你将有一个实现BackendStore接口的类，并使用JDBC API连接到MySQL数据库。 源码：

根据提供的上下文，CachedBackendStore类实现了BackendStore接口。这个类位于org.apache.hugegraph.backend.cache包中。 然而，没有额外的上下文，无法确定HugeGraph代码库中是否还有其他类也实现了BackendStore接口。 因此，答案是：CachedBackendStore是实现BackendStore接口的类之一。 来自上下文的证据：

public class CachedBackendStore implements BackendStore {
    ...
}

源码：

HugeFactoryAuthProxy类中的open(HugeConfig config)方法通过调用HugeFactory类的open(Configuration config)方法来建立与数据库的连接。这个方法返回一个HugeGraph实例，代表了与图数据库的连接。 这里是相关的代码：

public static synchronized HugeGraph open(Configuration config) {
    /*
     * Inject authentication (replace HugeGraph with HugeGraphAuthProxy)
     * TODO: Add verify to StandardHugeGraph() to prevent dynamic creation
     */
    HugeGraph graph = HugeFactory.open(config);
    HugeGraph proxy = GRAPHS.get(graph);
    if (proxy == null) {
        proxy = new HugeGraphAuthProxy(graph);
        GRAPHS.put(graph, proxy);
    }
    return proxy;
}

在这个方法中，HugeFactory.open(config)调用负责建立与数据库的连接。config参数是一个Configuration对象，包含了数据库连接的配置设置，如数据库URL、用户名、密码等。 获取到HugeGraph实例后，它被包装在一个HugeGraphAuthProxy实例中以添加认证功能。HugeGraphAuthProxy实例然后被存储在一个静态的GRAPHS映射中以供将来使用，并返回给调用者。 源码：

这个回答旨在节省你的时间，提供有用的信息。它并不是一个精确的解决方案，而是你自己研究的起点。 帮助我变得更有用！如果这个回答对你有帮助，请给我一个👍，如果无关，请给我一个👎。 如果你想继续对话，回复时请以@dosu-bot开头。

Sources

This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

Server在一台机器上，数据库在另一台机器上。请给我一个详细的连接远程数据库，并且使用loader导入数据的步骤。

dosubot[bot] commented 5 months ago

🤖

Yes, HugeGraph does support server connection to a remote database for queries. This is managed by the MysqlStore class, which extends the AbstractBackendStore class. The MysqlStore class uses the MysqlSessions class to manage the connection to the database.

The MysqlStore class has an open(HugeConfig config) method that opens a connection to the database. If the database exists, it opens a session to the database. If the database does not exist and the store is a schema store, it tries to initialize the database later.

The MysqlStore class also has a query(Query query) method that executes a query on the database. The method checks if the store is opened, gets the table for the query, and executes the query on the table.

The difference between the interfaces for querying a remote and a local database is not explicitly mentioned in the provided context. However, typically, the difference would be in the configuration settings such as the database URL, username, and password.

To connect to a remote database, you would typically need to:

  1. Specify the remote database URL in the configuration settings.
  2. Open a connection to the remote database using the open(HugeConfig config) method.
  3. Execute queries on the remote database using the query(Query query) method.

To use the loader to import data when the server and database are on separate machines, you would typically need to:

  1. Specify the remote database URL in the configuration settings.
  2. Open a connection to the remote database using the open(HugeConfig config) method.
  3. Use the loader to import data into the remote database.

Please note that the exact steps may vary depending on the specific requirements of your application and the configuration of your environment. The provided context does not provide sufficient information to provide detailed steps.

For more details, you can refer to the MysqlStore class in the HugeGraph repository here.

Regarding the specific configuration settings required to connect to a remote database using HugeGraph, you need to modify the configuration settings in the hugegraph.properties file. The specific settings depend on the type of backend database you are using. Here are the settings for some common databases:

  1. Cassandra:

    • backend=cassandra
    • serializer=cassandra
    • cassandra.host=<remote_host> (replace <remote_host> with your Cassandra server's IP address or hostname)
    • cassandra.port=<port> (replace <port> with your Cassandra server's port number)
    • cassandra.username=<username> (replace <username> with your Cassandra server's username)
    • cassandra.password=<password> (replace <password> with your Cassandra server's password)

  2. RocksDB:

    • backend=rocksdb
    • serializer=binary
    • rocksdb.data_path=<data_path> (replace <data_path> with your RocksDB data path)
    • rocksdb.wal_path=<wal_path> (replace <wal_path> with your RocksDB WAL path)

  3. MySQL:

    • backend=mysql
    • serializer=mysql
    • jdbc.driver=com.mysql.jdbc.Driver
    • jdbc.url=jdbc:mysql://<remote_host>:3306/<database> (replace <remote_host> with your MySQL server's IP address or hostname, and <database> with your database name)
    • jdbc.username=<username> (replace <username> with your MySQL server's username)
    • jdbc.password=<password> (replace <password> with your MySQL server's password)

  4. PostgreSQL:

    • backend=postgresql
    • serializer=postgresql
    • jdbc.driver=org.postgresql.Driver
    • jdbc.url=jdbc:postgresql://<remote_host>:5432/<database> (replace <remote_host> with your PostgreSQL server's IP address or hostname, and <database> with your database name)
    • jdbc.username=<username> (replace <username> with your PostgreSQL server's username)
    • jdbc.password=<password> (replace <password> with your PostgreSQL server's password)

Please replace <remote_host>, <port>, <username>, <password>, <data_path>, <wal_path>, and <database> with your actual values.

You can find more details about these settings in the hugegraph.properties file in the HugeGraph repository here.

Sources

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Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

github-actions[bot] commented 5 months ago

Due to the lack of activity, the current issue is marked as stale and will be closed after 20 days, any update will remove the stale label

dosubot[bot] commented 5 months ago

🤖

The HugeGraph server can be configured using the hugegraph.properties file. This file contains settings for the HugeGraph, BackendStore, and ServerLoader components.

  1. HugeGraph: The main graph database component is configured with the gremlin.graph property. This should be set to com.baidu.hugegraph.HugeFactory.

  2. BackendStore: The backend store is configured with the backend and serializer properties. The backend property determines the type of backend store to use. In the provided example, it is set to rocksdb. Other possible values include cassandra, mysql, postgresql, cockroachdb, and palo. The serializer property determines the serialization method to use. In the provided example, it is set to binary.

  3. ServerLoader: The server loader is configured with the store and rate_limit properties. The store property determines the name of the graph store to use. In the provided example, it is set to hugegraph. The rate_limit property determines the rate limit for loading data. In the provided example, it is set to 0, which means there is no rate limit.

Each backend store has its own set of configuration properties. For example, the cassandra backend has properties for the host, port, username, and password. The rocksdb backend has properties for the data path and WAL path. The mysql, postgresql, and cockroachdb backends have properties for the JDBC driver, URL, username, password, reconnect max times, and reconnect interval. The palo backend has a property for the host.

The search.text_analyzer and search.text_analyzer_mode properties are used to configure the text search feature. In the provided example, they are set to ikanalyzer and smart, respectively.

You can find more details in the hugegraph.properties file in the HugeGraph server example resources.

As for the ServerLoader component, I wasn't able to find specific information about it in the HugeGraph repository. It's possible that it's a component used for loading data into the graph database, but without more information or context, it's difficult to provide a precise answer. If you could provide more details about where you encountered this component or how you're planning to use it, I might be able to give a more accurate answer.

Sources

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