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Apache Ignite - 通过 SQL 驱动程序查询缓存

ignite
3
我在Ignite中创建了一个缓存，现在我正在尝试通过Ignite捆绑包提供的sqlline查询它。文档只讲述了创建表、索引、查询这些表等内容，但没有关于以这种方式查询通过ignite.getOrCreateCache()创建的缓存的说明。考虑到Ignite非常丰富，我认为这是可能的。
我错过了什么？
注： - Ignite版本=2.3.0 - 通过Ignite Sql机制的SqlFieldsQuery在我的代码中运行良好。 - 这看起来与this issue非常相似，但我的发行版只有一个h2 jar，即h2-1.4.196.jar，尽管我正在使用spring-boot
用于创建缓存的Java代码：
cacheConfig.setName("eventCache");
cacheConfig.setTypes(TenantKey.class, EventCachePojo.class);
cacheConfig.setIndexedTypes(TenantKey.class, EventCachePojo.class);
Cache<String, EventCachePojo> cache = ignite.getOrCreateCache(cacheConfig);

然后运行 sqlline

# i tried jdbcUrl jdbc:ignite:thin://127.0.0.1/ and jdbc:ignite:thin://127.0.0.1/eventCache
$ ./sqlline.sh --color=true --verbose=true -u jdbc:ignite:thin://127.0.0.1/
issuing: !connect jdbc:ignite:thin://127.0.0.1/ '' '' org.apache.ignite.IgniteJdbcThinDriver
Connecting to jdbc:ignite:thin://127.0.0.1/
Connected to: Apache Ignite (version 2.3.0#20171028-sha1:8add7fd5)
Driver: Apache Ignite Thin JDBC Driver (version 2.3.0#20171028-sha1:8add7fd5)
Autocommit status: true
Transaction isolation: TRANSACTION_REPEATABLE_READ
sqlline version 1.3.0
0: jdbc:ignite:thin://127.0.0.1/> !tables
+--------------------------------+--------------------------------+--------------------------------+--------------------------------+-----------------------------+
|           TABLE_CAT            |          TABLE_SCHEM           |           TABLE_NAME           |           TABLE_TYPE           |            REMARKS          |
+--------------------------------+--------------------------------+--------------------------------+--------------------------------+-----------------------------+
|                                | eventCache                     | EVENTCACHEPOJO                 | TABLE                          |                             |
|                                | eventCache                     | EVENTCACHEPOJO                 | TABLE                          |                             |
+--------------------------------+--------------------------------+--------------------------------+--------------------------------+-----------------------------+
0: jdbc:ignite:thin://127.0.0.1/> select count(*) from eventCache.EVENTCACHEPOJO;
Error: Failed to parse query: select count(*) from eventCache.EVENTCACHEPOJO (state=42000,code=0)
java.sql.SQLException: Failed to parse query: select count(*) from eventCache.EVENTCACHEPOJO
    at org.apache.ignite.internal.jdbc.thin.JdbcThinConnection.sendRequest(JdbcThinConnection.java:671)
    at org.apache.ignite.internal.jdbc.thin.JdbcThinStatement.execute0(JdbcThinStatement.java:130)
    at org.apache.ignite.internal.jdbc.thin.JdbcThinStatement.execute(JdbcThinStatement.java:299)
    at sqlline.Commands.execute(Commands.java:823)
    at sqlline.Commands.sql(Commands.java:733)
    at sqlline.SqlLine.dispatch(SqlLine.java:795)
    at sqlline.SqlLine.begin(SqlLine.java:668)
    at sqlline.SqlLine.start(SqlLine.java:373)
    at sqlline.SqlLine.main(SqlLine.java:265)
0: jdbc:ignite:thin://127.0.0.1/> select count(*) from eventCache.EVENTCACHEPOJO;
Error: Failed to parse query: select count(*) from eventCache.EVENTCACHEPOJO (state=42000,code=0)
java.sql.SQLException: Failed to parse query: select count(*) from eventCache.EVENTCACHEPOJO
    at org.apache.ignite.internal.jdbc.thin.JdbcThinConnection.sendRequest(JdbcThinConnection.java:671)
    at org.apache.ignite.internal.jdbc.thin.JdbcThinStatement.execute0(JdbcThinStatement.java:130)
    at org.apache.ignite.internal.jdbc.thin.JdbcThinStatement.execute(JdbcThinStatement.java:299)
    at sqlline.Commands.execute(Commands.java:823)
    at sqlline.Commands.sql(Commands.java:733)
    at sqlline.SqlLine.dispatch(SqlLine.java:795)
    at sqlline.SqlLine.begin(SqlLine.java:668)
    at sqlline.SqlLine.start(SqlLine.java:373)
    at sqlline.SqlLine.main(SqlLine.java:265)

0: jdbc:ignite:thin://127.0.0.1/> select count(*) from EVENTCACHEPOJO;
Error: Failed to parse query: select count(*) from EVENTCACHEPOJO (state=42000,code=0)
java.sql.SQLException: Failed to parse query: select count(*) from EVENTCACHEPOJO
    at org.apache.ignite.internal.jdbc.thin.JdbcThinConnection.sendRequest(JdbcThinConnection.java:671)
    at org.apache.ignite.internal.jdbc.thin.JdbcThinStatement.execute0(JdbcThinStatement.java:130)
    at org.apache.ignite.internal.jdbc.thin.JdbcThinStatement.execute(JdbcThinStatement.java:299)
    at sqlline.Commands.execute(Commands.java:823)
    at sqlline.Commands.sql(Commands.java:733)
    at sqlline.SqlLine.dispatch(SqlLine.java:795)
    at sqlline.SqlLine.begin(SqlLine.java:668)
    at sqlline.SqlLine.start(SqlLine.java:373)
    at sqlline.SqlLine.main(SqlLine.java:265)
2个回答
4
我终于明白了。这篇帖子帮助我找到了答案。在h2数据库中，需要对schemaName和table加引号。
以下是语法：
$ ./sqlline.sh --color=true --verbose=true -u jdbc:ignite:thin://127.0.0.1/
issuing: !connect jdbc:ignite:thin://127.0.0.1/ '' '' org.apache.ignite.IgniteJdbcThinDriver
Connecting to jdbc:ignite:thin://127.0.0.1/
Connected to: Apache Ignite (version 2.3.0#20171028-sha1:8add7fd5)
Driver: Apache Ignite Thin JDBC Driver (version 2.3.0#20171028-sha1:8add7fd5)
Autocommit status: true
Transaction isolation: TRANSACTION_REPEATABLE_READ
sqlline version 1.3.0
0: jdbc:ignite:thin://127.0.0.1/> !tables
+--------------------------------+--------------------------------+--------------------------------+--------------------------------+--------------------------------+---------+
|           TABLE_CAT            |          TABLE_SCHEM           |           TABLE_NAME           |           TABLE_TYPE           |            REMARKS             |         |
+--------------------------------+--------------------------------+--------------------------------+--------------------------------+--------------------------------+---------+
|                                | eventCache                     | EVENTCACHEPOJO                 | TABLE                          |                                |         |
|                                | eventCache                     | EVENTCACHEPOJO                 | TABLE                          |                                |         |
+--------------------------------+--------------------------------+--------------------------------+--------------------------------+--------------------------------+---------+
0: jdbc:ignite:thin://127.0.0.1/> select count(*) from "eventCache"."EVENTCACHEPOJO";
+--------------------------------+
|            COUNT(*)            |
+--------------------------------+
| 2619705                        |
+--------------------------------+
3
以下是连接到Ignite特定模式的几个选项：
  1. jdbc:ignite:thin://172.16.0.5/mySchema - 将连接到“MYSCHEMA”（不区分大小写）
  2. jdbc:ignite:thin://172.16.0.5/"mySchema" - 将连接到“mySchema”（区分大小写）
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