我有一个配置单元分区表txnaggr_rt_fact，它有2个列分区 txninterval和intervaltype。我正在尝试使用java从spark sql向该表插入一条记录。在插入过程中引发异常。如果该分区不存在，则必须创建一个新分区，但这样做失败，但是如果该分区已经存在，则将插入记录。
Java代码如下
SparkSession spark = SparkSession
.builder()
.appName("Java Spark Hive Example")
.config("spark.sql.warehouse.dir", "hdfs://localhost:8020/user/hive/warehouse")
.config("hive.exec.dynamic.partition", "true")
.config("hive.exec.dynamic.partition.mode", "nonstrict")
.enableHiveSupport()
.getOrCreate();
spark.sql("show databases").show();
spark.sql("use nadb");
/* spark.sql("hive.exec.dynamic.partition = true");
spark.sql("set hive.exec.dynamic.partition.mode=nonstrict");*/
spark.sql("insert into table txnaggr_rt_fact partition (txninterval = '2017-01-11', intervaltype='Test') values('"+21+"',null,'"+22+"',"+23+")");
我向配置单元分区表插入时的异常如下
Exception in thread "main" org.apache.spark.sql.AnalysisException: java.lang.NullPointerException: null;
at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:106)
at org.apache.spark.sql.hive.HiveExternalCatalog.loadPartition(HiveExternalCatalog.scala:843)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.processInsert(InsertIntoHiveTable.scala:249)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.run(InsertIntoHiveTable.scala:99)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:115)
at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190)
at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190)
at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3253)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3252)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:190)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:75)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:638)
at com.cw.na.spark.HiveSqlTest.main(HiveSqlTest.java:76)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:879)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:197)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:227)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:136)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.NullPointerException
at org.apache.hadoop.hive.ql.metadata.Hive.replaceFiles(Hive.java:3412)
at org.apache.hadoop.hive.ql.metadata.Hive.loadPartition(Hive.java:1650)
at org.apache.hadoop.hive.ql.metadata.Hive.loadPartition(Hive.java:1579)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.sql.hive.client.Shim_v0_14.loadPartition(HiveShim.scala:836)
at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$loadPartition$1.apply$mcV$sp(HiveClientImpl.scala:741)
at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$loadPartition$1.apply(HiveClientImpl.scala:739)
at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$loadPartition$1.apply(HiveClientImpl.scala:739)
at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:272)
at org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:210)
at org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:209)
at org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:255)
at org.apache.spark.sql.hive.client.HiveClientImpl.loadPartition(HiveClientImpl.scala:739)
at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$loadPartition$1.apply$mcV$sp(HiveExternalCatalog.scala:855)
at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$loadPartition$1.apply(HiveExternalCatalog.scala:843)
at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$loadPartition$1.apply(HiveExternalCatalog.scala:843)
at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97)
... 25 more
我发现在spark / conf目录中存在的hive-site.xml中，hive.exec.dynamic.partition.mode设置为strict。我将其更改为nonstrict，即使在代码中，我也将hive.exec.dynamic.partition.mode和hive.exec.dynamic.partition的配置放在同一位置，即使我遇到了同样的异常。
hive-site.xml
<property>
<name>hive.exec.dynamic.partition</name>
<value>true</value>
<description>Whether or not to allow dynamic partitions in DML/DDL.</description>
</property>
<property>
<name>hive.exec.dynamic.partition.mode</name>
<value>nonstrict</value>
<description>
In strict mode, the user must specify at least one static partition
in case the user accidentally overwrites all partitions.
In nonstrict mode all partitions are allowed to be dynamic.
</description>
</property>
答案 0 :(得分：0)
如果不是
spark.sql("insert into table txnaggr_rt_fact partition (txninterval = '2017-01-11', intervaltype='Test') values('"+21+"',null,'"+22+"',"+23+")");
尝试
spark.sql("insert overwrite table txnaggr_rt_fact partition (txninterval, intervaltype) values('"+21+"',null,'"+22+"',"+23+",'2017-01-11','Test')");
这是我要插入的方法：
sql("create table if not exists table_test (a int, b int) partitioned by (ds string)")
sql("set hive.exec.dynamic.partition.mode=nonstrict")
sql("insert overwrite table_test partition(ds) select a, b, '2017-01-01' from other_table")