kettle-java代码执行hive相关ktr时报错： database type with plugin id [HIVE2] couldn't be found!

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转载 最新推荐文章于 2023-10-07 14:53:21 发布 · 4.7k 阅读 · 3

kettle-java代码执行hive相关ktr时报错： database type with plugin id [HIVE2] couldn't be found!

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2018年08月13日 16:47:30 lisery1993 阅读数：305

1.在java项目中执行hive相关的ktr:

  1.  

  2. KettleEnvironment.init();

  3.  

  4. TransMeta transMeta = new TransMeta("C:\\Users\\lixiang\\Desktop\\hivetorizhi.ktr");

  5. // 设置执行模式

  6. TransExecutionConfiguration config = new TransExecutionConfiguration();

  7. config.setExecutingClustered(true);

  8. config.setExecutingLocally(false);

  9. config.setExecutingRemotely(false);

  10. config.setClusterPosting(true);

  11. config.setClusterPreparing(true);

  12. config.setClusterStarting(true);

  13. TransSplitter transSplitter = Trans.executeClustered(transMeta, config);

  14. System.out.println(transSplitter.getCarteObjectMap());

  15. System.out.println(transSplitter.getMaster());

  16. System.out.println(transSplitter.getSlaves()[0]);

  17. System.out.println(transSplitter.getSlaves()[1].getStepNames()[0]);

  18. }

2.报错：

 

  1. Exception in thread "main" org.pentaho.di.core.exception.KettleXMLException:

  2. 错误从XML文件读取转换

  3.  

  4. 错误从XML文件读取转换

  5.  

  6. Unable to load database connection info from XML node

  7.  

  8. Unable to create new database interface

  9.  

  10. database type with plugin id [HIVE2] couldn't be found!

  11.  

  12. at org.pentaho.di.trans.TransMeta.loadXML(TransMeta.java:3402)

  13. at org.pentaho.di.trans.TransMeta.<init>(TransMeta.java:2758)

  14. at org.pentaho.di.trans.TransMeta.<init>(TransMeta.java:2710)

  15. at org.pentaho.di.trans.TransMeta.<init>(TransMeta.java:2687)

  16. at org.pentaho.di.trans.TransMeta.<init>(TransMeta.java:2667)

  17. at org.pentaho.di.trans.TransMeta.<init>(TransMeta.java:2632)

  18. at org.pentaho.di.trans.TransMeta.<init>(TransMeta.java:2595)

  19. at com.kettle.KettleExamle.getRemoteServer(KettleExamle.java:55)

  20. at com.kettle.KettleExamle.main(KettleExamle.java:140)

  21. Caused by: org.pentaho.di.core.exception.KettleXMLException:

  22. 错误从XML文件读取转换

  23.  

  24. Unable to load database connection info from XML node

  25.  

  26. Unable to create new database interface

  27.  

  28. database type with plugin id [HIVE2] couldn't be found!

  29.  

  30. at org.pentaho.di.trans.TransMeta.loadXML(TransMeta.java:3384)

  31. ... 8 more

  32. Caused by: org.pentaho.di.core.exception.KettleXMLException:

  33. Unable to load database connection info from XML node

  34.  

  35. Unable to create new database interface

  36.  

  37. database type with plugin id [HIVE2] couldn't be found!

  38.  

  39. at org.pentaho.di.core.database.DatabaseMeta.<init>(DatabaseMeta.java:1013)

  40. at org.pentaho.di.trans.TransMeta.loadXML(TransMeta.java:2976)

  41. ... 8 more

  42. Caused by: org.pentaho.di.core.exception.KettleXMLException:

  43. Unable to create new database interface

  44.  

  45. database type with plugin id [HIVE2] couldn't be found!

  46.  

  47. at org.pentaho.di.core.database.DatabaseMeta.<init>(DatabaseMeta.java:977)

  48. ... 9 more

  49. Caused by: org.pentaho.di.core.exception.KettleDatabaseException:

  50. database type with plugin id [HIVE2] couldn't be found!

  51.  

  52. at org.pentaho.di.core.database.DatabaseMeta.findDatabaseInterface(DatabaseMeta.java:584)

  53. at org.pentaho.di.core.database.DatabaseMeta.getDatabaseInterface(DatabaseMeta.java:558)

  54. at org.pentaho.di.core.database.DatabaseMeta.<init>(DatabaseMeta.java:974)

  55. ... 9 more

3.报错分析：kettle程序在读取database type的过程中读不到hive2这个类型。

查看kettle-core-7.1.0.0-12.jar中的kettle-database-types.xml文件，此文件定义了database type ,其中没hive2.。

 

  1. <database-types>

  2.  

  3. <database-type id="AS/400">

  4. <description>AS/400</description>

  5. <classname>org.pentaho.di.core.database.AS400DatabaseMeta</classname>

  6. </database-type>

  7.  

  8. <database-type id="CACHE">

  9. <description>Intersystems Cache</description>

  10. <classname>org.pentaho.di.core.database.CacheDatabaseMeta</classname>

  11. </database-type>

  12.  

  13. <database-type id="DB2">

  14. <description>IBM DB2</description>

  15. <classname>org.pentaho.di.core.database.DB2DatabaseMeta</classname>

  16. </database-type>

  17.  

  18. <database-type id="DBASE">

  19. <description>dBase III, IV or 5</description>

  20. <classname>org.pentaho.di.core.database.DbaseDatabaseMeta</classname>

  21. </database-type>

  22.  

  23. <database-type id="DERBY">

  24. <description>Apache Derby</description>

  25. <classname>org.pentaho.di.core.database.DerbyDatabaseMeta</classname>

  26. </database-type>

  27.  

  28. <database-type id="EXASOL4">

  29. <description>Exasol 4</description>

  30. <classname>org.pentaho.di.core.database.Exasol4DatabaseMeta</classname>

  31. </database-type>

  32.  

  33. <database-type id="EXTENDB">

  34. <description>ExtenDB</description>

  35. <classname>org.pentaho.di.core.database.ExtenDBDatabaseMeta</classname>

  36. </database-type>

  37.  

  38. <database-type id="FIREBIRD">

  39. <description>Firebird SQL</description>

  40. <classname>org.pentaho.di.core.database.FirebirdDatabaseMeta</classname>

  41. </database-type>

  42.  

  43. <database-type id="GENERIC">

  44. <description>Generic database</description>

  45. <classname>org.pentaho.di.core.database.GenericDatabaseMeta</classname>

  46. </database-type>

  47.  

  48. <database-type id="GREENPLUM">

  49. <description>Greenplum</description>

  50. <classname>org.pentaho.di.core.database.GreenplumDatabaseMeta</classname>

  51. </database-type>

  52.  

  53. <database-type id="INFINIDB">

  54. <description>Calpont InfiniDB</description>

  55. <classname>org.pentaho.di.core.database.InfiniDbDatabaseMeta</classname>

  56. </database-type>

  57.  

  58. <database-type id="SQLBASE">

  59. <description>Gupta SQL Base</description>

  60. <classname>org.pentaho.di.core.database.GuptaDatabaseMeta</classname>

  61. </database-type>

  62.  

  63. <database-type id="H2">

  64. <description>H2</description>

  65. <classname>org.pentaho.di.core.database.H2DatabaseMeta</classname>

  66. </database-type>

  67.  

  68. <database-type id="HYPERSONIC">

  69. <description>Hypersonic</description>

  70. <classname>org.pentaho.di.core.database.HypersonicDatabaseMeta</classname>

  71. </database-type>

  72.  

  73. <database-type id="INFOBRIGHT">

  74. <description>Infobright</description>

  75. <classname>org.pentaho.di.core.database.InfobrightDatabaseMeta</classname>

  76. </database-type>

  77.  

  78. <database-type id="INFORMIX">

  79. <description>Informix</description>

  80. <classname>org.pentaho.di.core.database.InformixDatabaseMeta</classname>

  81. </database-type>

  82.  

  83. <database-type id="INGRES">

  84. <description>Ingres</description>

  85. <classname>org.pentaho.di.core.database.IngresDatabaseMeta</classname>

  86. </database-type>

  87.  

  88. <database-type id="VECTORWISE">

  89. <description>Ingres VectorWise</description>

  90. <classname>org.pentaho.di.core.database.VectorWiseDatabaseMeta</classname>

  91. </database-type>

  92.  

  93. <database-type id="INTERBASE">

  94. <description>Borland Interbase</description>

  95. <classname>org.pentaho.di.core.database.InterbaseDatabaseMeta</classname>

  96. </database-type>

  97.  

  98. <database-type id="KINGBASEES">

  99. <description>KingbaseES</description>

  100. <classname>org.pentaho.di.core.database.KingbaseESDatabaseMeta</classname>

  101. </database-type>

  102.  

  103. <database-type id="LucidDB">

  104. <description>LucidDB</description>

  105. <classname>org.pentaho.di.core.database.LucidDBDatabaseMeta</classname>

  106. </database-type>

  107.  

  108. <database-type id="MARIADB">

  109. <description>MariaDB</description>

  110. <classname>org.pentaho.di.core.database.MariaDBDatabaseMeta</classname>

  111. </database-type>

  112.  

  113. <database-type id="MONETDB">

  114. <description>MonetDB</description>

  115. <classname>org.pentaho.di.core.database.MonetDBDatabaseMeta</classname>

  116. </database-type>

  117.  

  118. <database-type id="MSACCESS">

  119. <description>MS Access</description>

  120. <classname>org.pentaho.di.core.database.MSAccessDatabaseMeta</classname>

  121. </database-type>

  122.  

  123. <database-type id="MSSQLNATIVE">

  124. <description>MS SQL Server (Native)</description>

  125. <classname>org.pentaho.di.core.database.MSSQLServerNativeDatabaseMeta</classname>

  126. </database-type>

  127.  

  128. <database-type id="MSSQL">

  129. <description>MS SQL Server</description>

  130. <classname>org.pentaho.di.core.database.MSSQLServerDatabaseMeta</classname>

  131. </database-type>

  132.  

  133. <database-type id="MYSQL">

  134. <description>MySQL</description>

  135. <classname>org.pentaho.di.core.database.MySQLDatabaseMeta</classname>

  136. </database-type>

  137.  

  138. <database-type id="MONDRIAN">

  139. <description>Native Mondrian</description>

  140. <classname>org.pentaho.di.core.database.MondrianNativeDatabaseMeta</classname>

  141. </database-type>

  142.  

  143. <database-type id="NEOVIEW">

  144. <description>Neoview</description>

  145. <classname>org.pentaho.di.core.database.NeoviewDatabaseMeta</classname>

  146. </database-type>

  147.  

  148. <database-type id="NETEZZA">

  149. <description>Netezza</description>

  150. <classname>org.pentaho.di.core.database.NetezzaDatabaseMeta</classname>

  151. </database-type>

  152.  

  153. <database-type id="ORACLE">

  154. <description>Oracle</description>

  155. <classname>org.pentaho.di.core.database.OracleDatabaseMeta</classname>

  156. </database-type>

  157.  

  158. <database-type id="ORACLERDB">

  159. <description>Oracle RDB</description>

  160. <classname>org.pentaho.di.core.database.OracleRDBDatabaseMeta</classname>

  161. </database-type>

  162.  

  163. <database-type id="POSTGRESQL">

  164. <description>PostgreSQL</description>

  165. <classname>org.pentaho.di.core.database.PostgreSQLDatabaseMeta</classname>

  166. </database-type>

  167.  

  168. <database-type id="REDSHIFT">

  169. <description>Redshift</description>

  170. <classname>org.pentaho.di.core.database.RedshiftDatabaseMeta</classname>

  171. </database-type>

  172.  

  173. <database-type id="REMEDY-AR-SYSTEM">

  174. <description>Remedy Action Request System</description>

  175. <classname>org.pentaho.di.core.database.RemedyActionRequestSystemDatabaseMeta</classname>

  176. </database-type>

  177.  

  178. <database-type id="SAPDB">

  179. <description>MaxDB (SAP DB)</description>

  180. <classname>org.pentaho.di.core.database.SAPDBDatabaseMeta</classname>

  181. </database-type>

  182.  

  183. <database-type id="SQLITE">

  184. <description>SQLite</description>

  185. <classname>org.pentaho.di.core.database.SQLiteDatabaseMeta</classname>

  186. </database-type>

  187.  

  188. <database-type id="SYBASE">

  189. <description>Sybase</description>

  190. <classname>org.pentaho.di.core.database.SybaseDatabaseMeta</classname>

  191. </database-type>

  192.  

  193. <database-type id="SYBASEIQ">

  194. <description>SybaseIQ</description>

  195. <classname>org.pentaho.di.core.database.SybaseIQDatabaseMeta</classname>

  196. </database-type>

  197.  

  198. <database-type id="TERADATA">

  199. <description>Teradata</description>

  200. <classname>org.pentaho.di.core.database.TeradataDatabaseMeta</classname>

  201. </database-type>

  202.  

  203. <database-type id="UNIVERSE">

  204. <description>UniVerse database</description>

  205. <classname>org.pentaho.di.core.database.UniVerseDatabaseMeta</classname>

  206. </database-type>

  207.  

  208. <database-type id="VERTICA">

  209. <description>Vertica</description>

  210. <classname>org.pentaho.di.core.database.VerticaDatabaseMeta</classname>

  211. </database-type>

  212.  

  213. <database-type id="VERTICA5">

  214. <description>Vertica 5+</description>

  215. <classname>org.pentaho.di.core.database.Vertica5DatabaseMeta</classname>

  216. </database-type>

  217.  

  218. </database-types>

4.报错解决：

hive的api的连接方式是通过jdbc连接的。具体思路与postgresql的连接思路相同。因此仿照postgresql的连接方法自定义一个database-type为hive2。因此，在kettle-core-7.1.0.0-12.jar的kettle-database-types.xml文件中添加

 

  1. <database-type id="HIVE2">

  2. <description>HIVE2</description>

  3. <classname>org.pentaho.di.core.database.Hive2SQLDatabaseMeta</classname>

  4. </database-type>

其中会有对应的实现类org.pentaho.di.core.database.Hive2SQLDatabaseMeta。

仿照postgresql的实现类org.pentaho.di.core.database.PostgreSQLDatabaseMeta来写即可，只需将连接的url以及jdbc driver名称更换为hive相关。

将org.pentaho.di.core.database.Hive2SQLDatabaseMeta类编译为.class文件放进kettle-core-7.1.0.0-12.jar的org\pentaho\di\core\database路径下

6.再次执行ktr：

执行成功：结果：

 

  1. {/hivetorizhi (master)=1cc5f5bb-b0c4-4938-96f7-85363f88564d, /hivetorizhi (local:slave1-8081)=09ea3633-f5bd-4e43-9352-62b958255469, /hivetorizhi (local:slave2-8082)=35e00dc2-f570-4f26-8540-156fb84d9524}

  2. /hivetorizhi (master)

  3. /hivetorizhi (local:slave2-8082)

  4.  
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