我在scala中的表架构是
snSession.sql（“创建表category_subscriber（id int，catId int，brandId int，domains int，osId int，rType int，rTime int，ctId int，icmpId int，setId int，rAt int，cyId int）使用列选项（BUCKETS'5'，PARTITION_BY'ID'，OVERFLOW'true'，EVICTION_BY'LRUHEAPPERCENT'）“）;
我在Java中的代码是
Statement statement = snappy.createStatement();
statement.execute("CREATE EXTERNAL TABLE CATEGORY_SUBSCRIBER USING com.databricks.spark.csv OPTIONS(path '/home/sys1010/Desktop/category_sub.csv', header 'true', inferSchema 'true', nullValue 'NULL', maxCharsPerColumn '4096';");
通过Java将数据从csv导入snappydata时出现错误
INFO: Starting client on '172.16.20.28' with ID='1965|2018/08/06 15:38:58.573 IST' Source-Revision=e6cfbfdb0f14ee87261381934075b7f37672a99d
Aug 06, 2018 3:38:59 PM snappydump.SnappyOps upsert
SEVERE: null
java.sql.SQLException: (SQLState=42X01 Severity=20000) (Server=172.16.20.28/172.16.20.28[1528] Thread=ThriftProcessor-3) Syntax error: org.apache.spark.sql.ParseException: Invalid input 'U', expected tableSchema or 'EOI' (line 1, column 1):
USING com.databricks.spark.csv OPTIONS(path '/home/sys1010/Desktop/category_sub.csv', header 'true', inferSchema 'true', nullValue 'NULL', maxCharsPerColumn '4096'
^;;.
at io.snappydata.thrift.SnappyDataService$execute_result$execute_resultStandardScheme.read(SnappyDataService.java:7033)
at io.snappydata.thrift.SnappyDataService$execute_result$execute_resultStandardScheme.read(SnappyDataService.java:7010)
at io.snappydata.thrift.SnappyDataService$execute_result.read(SnappyDataService.java:6949)
at io.snappydata.org.apache.thrift.TServiceClient.receiveBase(TServiceClient.java:86)
at io.snappydata.thrift.SnappyDataService$Client.recv_execute(SnappyDataService.java:256)
at io.snappydata.thrift.SnappyDataService$Client.execute(SnappyDataService.java:239)
at io.snappydata.thrift.internal.ClientService.execute(ClientService.java:889)
at io.snappydata.thrift.internal.ClientStatement.execute(ClientStatement.java:720)
at io.snappydata.thrift.internal.ClientStatement.execute(ClientStatement.java:371)
at snappydump.SnappyOps.upsert(SnappyOps.java:29)
at snappydump.SnappyDump.menu(SnappyDump.java:51)
at snappydump.SnappyDump.main(SnappyDump.java:39)
Caused by: java.rmi.ServerException: Server STACK: java.sql.SQLSyntaxErrorException(42X01): Syntax error: org.apache.spark.sql.ParseException: Invalid input 'U', expected tableSchema or 'EOI' (line 1, column 1):
USING com.databricks.spark.csv OPTIONS(path '/home/sys1010/Desktop/category_sub.csv', header 'true', inferSchema 'true', nullValue 'NULL', maxCharsPerColumn '4096'
^;;.
at com.pivotal.gemfirexd.internal.iapi.error.StandardException.newException(StandardException.java:214)
at com.pivotal.gemfirexd.internal.engine.Misc.processFunctionException(Misc.java:776)
at com.pivotal.gemfirexd.internal.engine.Misc.processFunctionException(Misc.java:757)
at com.pivotal.gemfirexd.internal.engine.sql.execute.SnappySelectResultSet.setup(SnappySelectResultSet.java:284)
at com.pivotal.gemfirexd.internal.engine.distributed.message.GfxdFunctionMessage.executeFunction(GfxdFunctionMessage.java:332)
at com.pivotal.gemfirexd.internal.engine.distributed.message.GfxdFunctionMessage.executeFunction(GfxdFunctionMessage.java:274)
at com.pivotal.gemfirexd.internal.engine.sql.execute.SnappyActivation.executeOnLeadNode(SnappyActivation.java:338)
at com.pivotal.gemfirexd.internal.engine.sql.execute.SnappyActivation.executeWithResultSet(SnappyActivation.java:202)
at com.pivotal.gemfirexd.internal.engine.sql.execute.SnappyActivation.execute(SnappyActivation.java:158)
at com.pivotal.gemfirexd.internal.impl.sql.GenericActivationHolder.execute(GenericActivationHolder.java:462)
at com.pivotal.gemfirexd.internal.impl.sql.GenericPreparedStatement.execute(GenericPreparedStatement.java:586)
at com.pivotal.gemfirexd.internal.impl.jdbc.EmbedStatement.executeStatement(EmbedStatement.java:2175)
at com.pivotal.gemfirexd.internal.impl.jdbc.EmbedStatement.execute(EmbedStatement.java:1289)
at com.pivotal.gemfirexd.internal.impl.jdbc.EmbedStatement.execute(EmbedStatement.java:1006)
at com.pivotal.gemfirexd.internal.impl.jdbc.EmbedStatement.execute(EmbedStatement.java:972)
at io.snappydata.thrift.server.SnappyDataServiceImpl.execute(SnappyDataServiceImpl.java:1704)
at io.snappydata.thrift.SnappyDataService$Processor$execute.getResult(SnappyDataService.java:1511)
at io.snappydata.thrift.SnappyDataService$Processor$execute.getResult(SnappyDataService.java:1495)
at org.apache.thrift.ProcessFunction.process(ProcessFunction.java:39)
at io.snappydata.thrift.server.SnappyDataServiceImpl$Processor.process(SnappyDataServiceImpl.java:201)
at io.snappydata.thrift.server.SnappyThriftServerThreadPool$WorkerProcess.run(SnappyThriftServerThreadPool.java:270)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at io.snappydata.thrift.server.SnappyThriftServer$1.lambda$newThread$0(SnappyThriftServer.java:143)
at java.lang.Thread.run(Thread.java:748)
csv中的数据由制表符空格分隔，就像
59314315 22 0 50 0 4 1531506600 0 87152 0 1531582029 0 2018-07-31
53865527 22 0 50 0 4 1531506600 0 87152 0 1531582037 0 2018-07-31
42637344 22 0 50 0 4 1531506600 0 87122 0 1531582142 0 2018-07-31
20501400 22 0 50 0 4 1531506600 0 87122 0 1531582263 0 2018-07-31
17067216 22 0 50 0 4 1531506600 0 87122 0 1531582291 0 2018-07-31
70845365 22 0 50 0 4 1531506600 0 86362 0 1531582308 0 2018-07-31
83702601 22 0 50 0 4 1531506600 0 87122 0 1531582373 0 2018-07-31
有人可以帮我吗
答案 0 :(得分：0)
该语句中存在语法错误，更正后的语句为：
Statement语句= snappy.createStatement（）; statement.execute（“使用com.databricks.spark.csv选项创建外部表CATEGORY_SUBSCRIBER（路径'/home/sys1010/Desktop/category_sub.csv'，标头'true'，inferSchema'true'，nullValue'NULL'，maxCharsPerColumn' 4096'）“）;
答案 1 :(得分：0)
使用CSV选项（....）创建外部表<name>也应起作用。 CSV现在是内置数据源。