如何将配置单元查询结果以json格式存储在文件中?

Posted

技术标签:

【中文标题】如何将配置单元查询结果以json格式存储在文件中?【英文标题】:How to store hive query result in json format in a file? 【发布时间】:2019-10-17 13:38:08 【问题描述】:

我想将 hive 查询结果以 JSON 格式存储到文件中。通过 Brickhouse jar,我可以获得 JSON 格式的查询输出,但无法将其存储在文件或表中。我正在尝试的查询如下所示。当INSERT OVERWRITE 查询运行时,会报错;我该如何解决这个错误?有没有办法通过查询以 JSON 格式存储查询结果?

查询:

add jar hdfs:///mydir/brickhouse-0.7.1.jar;

INSERT OVERWRITE DIRECTORY '/mydir/textfile1'
stored as textfile
SELECT to_json( named_struct( "id",id,
            "name",name))
   FROM link_tbl;

错误:

INFO : Tez session hasn't been created yet. Opening session
INFO : Dag name: INSERT OVERWRITE DIRECTORY '/mydir/text...pl(Stage-1)
INFO :

INFO : Status: Running (Executing on YARN cluster with App id application_1571318954298_0001)

INFO : Map 1: -/-
ERROR : Status: Failed
ERROR : Vertex failed, vertexName=Map 1, vertexId=vertex_1571318954298_0001_1_00, diagnostics=[Vertex vertex_1571318954298_0001_1_00 [Map 1] killed/failed due to:INIT_FAILURE, Fail to create InputInitializerManager, org.apache.tez.dag.api.TezReflectionException: Unable to instantiate class with 1 arguments: org.apache.hadoop.hive.ql.exec.tez.HiveSplitGenerator
at org.apache.tez.common.ReflectionUtils.getNewInstance(ReflectionUtils.java:70)
at org.apache.tez.common.ReflectionUtils.createClazzInstance(ReflectionUtils.java:89)
at org.apache.tez.dag.app.dag.RootInputInitializerManager$1.run(RootInputInitializerManager.java:151)
at org.apache.tez.dag.app.dag.RootInputInitializerManager$1.run(RootInputInitializerManager.java:148)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657)
at org.apache.tez.dag.app.dag.RootInputInitializerManager.createInitializer(RootInputInitializerManager.java:148)
at org.apache.tez.dag.app.dag.RootInputInitializerManager.runInputInitializers(RootInputInitializerManager.java:121)
at org.apache.tez.dag.app.dag.impl.VertexImpl.setupInputInitializerManager(VertexImpl.java:4536)
at org.apache.tez.dag.app.dag.impl.VertexImpl.access$4300(VertexImpl.java:202)
at org.apache.tez.dag.app.dag.impl.VertexImpl$InitTransition.handleInitEvent(VertexImpl.java:3352)
at org.apache.tez.dag.app.dag.impl.VertexImpl$InitTransition.transition(VertexImpl.java:3301)
at org.apache.tez.dag.app.dag.impl.VertexImpl$InitTransition.transition(VertexImpl.java:3282)
at org.apache.hadoop.yarn.state.StateMachineFactory$MultipleInternalArc.doTransition(StateMachineFactory.java:385)
at org.apache.hadoop.yarn.state.StateMachineFactory.doTransition(StateMachineFactory.java:302)
at org.apache.hadoop.yarn.state.StateMachineFactory.access$300(StateMachineFactory.java:46)
at org.apache.hadoop.yarn.state.StateMachineFactory$InternalStateMachine.doTransition(StateMachineFactory.java:448)
at org.apache.tez.state.StateMachineTez.doTransition(StateMachineTez.java:57)
at org.apache.tez.dag.app.dag.impl.VertexImpl.handle(VertexImpl.java:1862)
at org.apache.tez.dag.app.dag.impl.VertexImpl.handle(VertexImpl.java:201)
at org.apache.tez.dag.app.DAGAppMaster$VertexEventDispatcher.handle(DAGAppMaster.java:1978)
at org.apache.tez.dag.app.DAGAppMaster$VertexEventDispatcher.handle(DAGAppMaster.java:1964)
at org.apache.tez.common.AsyncDispatcher.dispatch(AsyncDispatcher.java:183)
at org.apache.tez.common.AsyncDispatcher$1.run(AsyncDispatcher.java:114)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.tez.common.ReflectionUtils.getNewInstance(ReflectionUtils.java:68)
... 25 more
Caused by: java.lang.RuntimeException: Failed to load plan: hdfs://sandbox.hortonworks.com:8020/tmp/hive/hive/2eaf13cf-1f98-4a2d-8f76-4e9c839f355b/hive_2019-10-17_13-33-05_763_197979924455130156-2/hive/_tez_scratch_dir/d9d1df72-f68c-4c1f-b642-85a46f32a79f/map.xml: org.apache.hive.com.esotericsoftware.kryo.KryoException: java.lang.IndexOutOfBoundsException: Index: 19963874, Size: 113
Serialization trace:
_mainHash (org.codehaus.jackson.sym.BytesToNameCanonicalizer)
_rootByteSymbols (org.codehaus.jackson.JsonFactory)
jsonFactory (brickhouse.udf.json.ToJsonUDF)
genericUDF (org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc)
colExprMap (org.apache.hadoop.hive.ql.exec.SelectOperator)
childOperators (org.apache.hadoop.hive.ql.exec.TableScanOperator)
aliasToWork (org.apache.hadoop.hive.ql.plan.MapWork)
at org.apache.hadoop.hive.ql.exec.Utilities.getBaseWork(Utilities.java:472)
at org.apache.hadoop.hive.ql.exec.Utilities.getMapWork(Utilities.java:311)
at org.apache.hadoop.hive.ql.exec.tez.HiveSplitGenerator.<init>(HiveSplitGenerator.java:101)
... 30 more
Caused by: org.apache.hive.com.esotericsoftware.kryo.KryoException: java.lang.IndexOutOfBoundsException: Index: 19963874, Size: 113
Serialization trace:
_mainHash (org.codehaus.jackson.sym.BytesToNameCanonicalizer)
_rootByteSymbols (org.codehaus.jackson.JsonFactory)
jsonFactory (brickhouse.udf.json.ToJsonUDF)
genericUDF (org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc)
colExprMap (org.apache.hadoop.hive.ql.exec.SelectOperator)
childOperators (org.apache.hadoop.hive.ql.exec.TableScanOperator)
aliasToWork (org.apache.hadoop.hive.ql.plan.MapWork)
at org.apache.hive.com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:125)
at org.apache.hive.com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:507)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readObjectOrNull(Kryo.java:745)
at org.apache.hive.com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:113)
at org.apache.hive.com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:507)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:694)
at org.apache.hive.com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:106)
at org.apache.hive.com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:507)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:694)
at org.apache.hive.com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:106)
at org.apache.hive.com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:507)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:776)
at org.apache.hive.com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:139)
at org.apache.hive.com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:17)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:694)
at org.apache.hive.com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:106)
at org.apache.hive.com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:507)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:776)
at org.apache.hive.com.esotericsoftware.kryo.serializers.CollectionSerializer.read(CollectionSerializer.java:112)
at org.apache.hive.com.esotericsoftware.kryo.serializers.CollectionSerializer.read(CollectionSerializer.java:18)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:694)
at org.apache.hive.com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:106)
at org.apache.hive.com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:507)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:776)
at org.apache.hive.com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:139)
at org.apache.hive.com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:17)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:694)
at org.apache.hive.com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:106)
at org.apache.hive.com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:507)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:672)
at org.apache.hadoop.hive.ql.exec.Utilities.deserializeObjectByKryo(Utilities.java:1173)
at org.apache.hadoop.hive.ql.exec.Utilities.deserializePlan(Utilities.java:1062)
at org.apache.hadoop.hive.ql.exec.Utilities.deserializePlan(Utilities.java:1076)
at org.apache.hadoop.hive.ql.exec.Utilities.getBaseWork(Utilities.java:432)
... 32 more
Caused by: java.lang.IndexOutOfBoundsException: Index: 19963874, Size: 113
at java.util.ArrayList.rangeCheck(ArrayList.java:635)
at java.util.ArrayList.get(ArrayList.java:411)
at org.apache.hive.com.esotericsoftware.kryo.util.MapReferenceResolver.getReadObject(MapReferenceResolver.java:42)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readReferenceOrNull(Kryo.java:820)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readObjectOrNull(Kryo.java:743)
at org.apache.hive.com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:113)
... 65 more
]
ERROR : DAG did not succeed due to VERTEX_FAILURE. failedVertices:1 killedVertices:0

【问题讨论】:

【参考方案1】:

解决方案可以在此目录之上创建表并使用 JSONSerDe 的强大功能。

创建表:

CREATE EXTERNAL TABLE mydirectory_tbl(
  id   string,
  name string
)
ROW FORMAT SERDE
  'org.openx.data.jsonserde.JsonSerDe'
LOCATION '/mydir' --this is HDFS/S3 location
;

插入数据:

INSERT OVERWRITE table mydirectory_tbl
SELECT id,name
   FROM link_tbl;

并且您不能指定文件名来代替表或目录位置。只有目录。如果您想要一个文件,那么您可以稍后连接文件(最好性能更高)或强制使用单个减速器,例如通过添加 ORDER BY id

【讨论】:

我在使用 Json Serder 时遇到错误。我该如何应对?处理语句时出错:FAILED:执行错误,从 org.apache.hadoop.hive.ql.exec.DDLTask 返回代码 1。无法初始化类 org.openx.data.jsonserde.objectinspector.JsonObjectInspectorFactory...@leftjoin @sidradua 尝试另一个 serde 类:'org.apache.hive.hcatalog.data.JsonSerDe' 现在在编译语句时遇到此错误错误:失败:NoMatchingMethodException 类 org.apache.hadoop.hive.ql.udf.UDFToString 没有匹配方法(struct)。可能的选择: _FUNC_(bigint) _FUNC_(binary) _FUNC_(boolean) _FUNC_(date) _FUNC_(decimal(38,18)) _FUNC_(double) _FUNC_(float) _FUNC_(int) _FUNC_(smallint) _FUNC_(string) _FUNC_(时间戳) _FUNC_(tinyint) _FUNC_(void) [ERROR_STATUS] @leftjoin

以上是关于如何将配置单元查询结果以json格式存储在文件中?的主要内容,如果未能解决你的问题,请参考以下文章

怎样在java中查询mysql得到如下的json格式的结果

如何将配置单元查询结果导出到单个本地文件?

Google BigQuery:将 ExecuteQuery 结果以 json 格式上传到 Google Cloud Storage

如何使用 Google Bigquery 的 Java API 以 Json 形式获取查询结果

如何使 WCF 数据服务查询拦截器以 JSON 格式返回结果?

如何在 Apache nifi 中配置 convertrecord 处理器,以便将 JSON 转换为 AVRO 格式