Mahmood Abu Awwad created HIVE-26662:
----------------------------------------
Summary: FAILED: SemanticException [Error 10072]: Database does
not exist: spark_global_temp_views
Key: HIVE-26662
URL: https://issues.apache.org/jira/browse/HIVE-26662
Project: Hive
Issue Type: Bug
Reporter: Mahmood Abu Awwad
while running our batches using Apache Spark with Hive on EMR cluster, as we're
using AWS glue as a MetaStore, it seems there is an issue occurs, which is
{code:java}
EntityNotFoundException ,Database global_temp not found {code}
{code:java}
2022-10-09T10:36:31,262 INFO [573c4ce0-f73c-439b-829d-1f0b25db45ec main([])]:
ql.Driver (:()) - Completed compiling
command(queryId=hadoop_20221009103631_214e4b6c-b0f2-496e-b9a8-86831b202736);
Time taken: 0.02 seconds
2022-10-09T10:36:31,262 INFO [573c4ce0-f73c-439b-829d-1f0b25db45ec main([])]:
reexec.ReExecDriver (:()) - Execution #1 of query
2022-10-09T10:36:31,262 INFO [573c4ce0-f73c-439b-829d-1f0b25db45ec main([])]:
ql.Driver (:()) - Concurrency mode is disabled, not creating a lock manager
2022-10-09T10:36:31,262 INFO [573c4ce0-f73c-439b-829d-1f0b25db45ec main([])]:
ql.Driver (:()) - Executing
command(queryId=hadoop_20221009103631_214e4b6c-b0f2-496e-b9a8-86831b202736):
show views
2022-10-09T10:36:31,263 INFO [573c4ce0-f73c-439b-829d-1f0b25db45ec main([])]:
ql.Driver (:()) - Starting task [Stage-0:DDL] in serial mode
2022-10-09T10:36:32,270 INFO [573c4ce0-f73c-439b-829d-1f0b25db45ec main([])]:
ql.Driver (:()) - Completed executing
command(queryId=hadoop_20221009103631_214e4b6c-b0f2-496e-b9a8-86831b202736);
Time taken: 1.008 seconds
2022-10-09T10:36:32,270 INFO [573c4ce0-f73c-439b-829d-1f0b25db45ec main([])]:
ql.Driver (:()) - OK
2022-10-09T10:36:32,270 INFO [573c4ce0-f73c-439b-829d-1f0b25db45ec main([])]:
ql.Driver (:()) - Concurrency mode is disabled, not creating a lock manager
2022-10-09T10:36:32,271 INFO [573c4ce0-f73c-439b-829d-1f0b25db45ec main([])]:
exec.ListSinkOperator (:()) - RECORDS_OUT_INTERMEDIATE:0,
RECORDS_OUT_OPERATOR_LIST_SINK_0:0,
2022-10-09T10:36:32,271 INFO [573c4ce0-f73c-439b-829d-1f0b25db45ec main([])]:
CliDriver (:()) - Time taken: 1.028 seconds
2022-10-09T10:36:32,271 INFO [573c4ce0-f73c-439b-829d-1f0b25db45ec main([])]:
conf.HiveConf (HiveConf.java:getLogIdVar(5104)) - Using the default value
passed in for log id: 573c4ce0-f73c-439b-829d-1f0b25db45ec
2022-10-09T10:36:32,272 INFO [573c4ce0-f73c-439b-829d-1f0b25db45ec main([])]:
session.SessionState (SessionState.java:resetThreadName(452)) - Resetting
thread name to main
2022-10-09T10:36:46,512 INFO [main([])]: conf.HiveConf
(HiveConf.java:getLogIdVar(5104)) - Using the default value passed in for log
id: 573c4ce0-f73c-439b-829d-1f0b25db45ec
2022-10-09T10:36:46,513 INFO [main([])]: session.SessionState
(SessionState.java:updateThreadName(441)) - Updating thread name to
573c4ce0-f73c-439b-829d-1f0b25db45ec main
2022-10-09T10:36:46,515 INFO [573c4ce0-f73c-439b-829d-1f0b25db45ec main([])]:
ql.Driver (:()) - Compiling
command(queryId=hadoop_20221009103646_f390a868-07d7-49f1-b620-70d40e5e2cff):
use global_temp
2022-10-09T10:36:46,530 INFO [573c4ce0-f73c-439b-829d-1f0b25db45ec main([])]:
ql.Driver (:()) - Concurrency mode is disabled, not creating a lock manager
2022-10-09T10:36:46,666 ERROR [573c4ce0-f73c-439b-829d-1f0b25db45ec main([])]:
ql.Driver (:()) - FAILED: SemanticException [Error 10072]: Database does not
exist: global_temp
org.apache.hadoop.hive.ql.parse.SemanticException: Database does not exist:
global_temp
at
org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.getDatabase(BaseSemanticAnalyzer.java:2171)
at
org.apache.hadoop.hive.ql.parse.DDLSemanticAnalyzer.analyzeSwitchDatabase(DDLSemanticAnalyzer.java:1413)
at
org.apache.hadoop.hive.ql.parse.DDLSemanticAnalyzer.analyzeInternal(DDLSemanticAnalyzer.java:516)
at
org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.analyze(BaseSemanticAnalyzer.java:285)
at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:659)
at org.apache.hadoop.hive.ql.Driver.compileInternal(Driver.java:1826)
at org.apache.hadoop.hive.ql.Driver.compileAndRespond(Driver.java:1773)
at org.apache.hadoop.hive.ql.Driver.compileAndRespond(Driver.java:1768)
at
org.apache.hadoop.hive.ql.reexec.ReExecDriver.compileAndRespond(ReExecDriver.java:126)
at
org.apache.hadoop.hive.ql.reexec.ReExecDriver.run(ReExecDriver.java:214)
at
org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:239)
at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:188)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:402)
at
org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:821)
at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:759)
at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:683)
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.hadoop.util.RunJar.run(RunJar.java:323)
at org.apache.hadoop.util.RunJar.main(RunJar.java:236) {code}
global_temp is a system preserved db by spark session to hold the global temp
views.
this db is not created on our AWS glue, as creating this on glue will fail all
our EMR jobs with this error
{code:java}
ERROR ApplicationMaster: User class threw exception:
org.apache.spark.SparkException: global_temp is a system preserved database,
please rename your existing database to resolve the name conflict, or set a
different value for spark.sql.globalTempDatabase, and launch your Spark
application again. {code}
We're not creating or using any global temp views in our project, but it seems
this is a health check happen when initializing spark session by spark it self.
EMR configuration used
{code:java}
// [
{
"Classification":"hive-site",
"Properties":{
"hive.msck.path.validation":"ignore",
"hive.exec.max.dynamic.partitions":"1000000",
"hive.vectorized.execution.enabled":"true",
"hive.metastore.client.factory.class":"com.amazonaws.glue.catalog.metastore.AWSGlueDataCatalogHiveClientFactory",
"hive.exec.dynamic.partition.mode":"nonstrict",
"hive.exec.max.dynamic.partitions.pernode":"500000"
},
"Configurations":[
]
},
{
"Classification":"yarn-site",
"Properties":{
"yarn.resourcemanager.scheduler.class":"org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler",
"yarn.log-aggregation.retain-seconds":"-1",
"yarn.scheduler.fair.allow-undeclared-pools":"true",
"yarn.log-aggregation-enable":"true",
"yarn.scheduler.fair.user-as-default-queue":"true",
"yarn.nodemanager.remote-app-log-dir":"LOGS_PATH",
"yarn.scheduler.fair.preemption":"true",
"yarn.scheduler.fair.preemption.cluster-utilization-threshold":"0.8",
"yarn.resourcemanager.am.max-attempts":"10"
},
"Configurations":[
]
},
{
"Classification":"mapred-site",
"Properties":{
"mapred.jobtracker.taskScheduler":"org.apache.hadoop.mapred.FairScheduler"
},
"Configurations":[
]
},
{
"Classification":"presto-connector-hive",
"Properties":{
"hive.recursive-directories":"true",
"hive.metastore.glue.datacatalog.enabled":"true"
},
"Configurations":[
]
},
{
"Classification":"spark-log4j",
"Properties":{
"log4j.logger.com.project":"DEBUG",
"log4j.appender.rolling.layout":"org.apache.log4j.PatternLayout",
"log4j.logger.org.apache.spark":"WARN",
"log4j.appender.rolling.encoding":"UTF-8",
"log4j.appender.rolling.layout.ConversionPattern":"%d{yy/MM/dd
HH:mm:ss} %p %c{1}: %m%n",
"log4j.appender.rolling.maxBackupIndex":"5",
"log4j.appender.rolling":"org.apache.log4j.RollingFileAppender",
"log4j.rootLogger":"WARN, rolling",
"log4j.logger.org.eclipse.jetty":"WARN",
"log4j.appender.rolling.maxFileSize":"1000MB",
"log4j.appender.rolling.file":"${spark.yarn.app.container.log.dir}/spark.log"
},
"Configurations":[
]
},
{
"Classification":"emrfs-site",
"Properties":{
"fs.s3.maxConnections":"10000"
},
"Configurations":[
]
},
{
"Classification":"spark-hive-site",
"Properties":{
"hive.metastore.client.factory.class":"com.amazonaws.glue.catalog.metastore.AWSGlueDataCatalogHiveClientFactory"
},
"Configurations":[
]
}
] {code}
and the spark submit command is
{code:java}
spark-submit --deploy-mode cluster --master yarn --conf
spark.yarn.appMasterEnv.ENV=DEV --conf spark.executorEnv.ENV=DEV --conf
spark.network.timeout=6000s --conf spark.sql.catalogImplementation=hive --conf
spark.driver.memory=15g --conf
spark.hadoop.hive.metastore.client.factory.class=com.amazonaws.glue.catalog.metastore.AWSGlueDataCatalogHiveClientFactory
--class CLASS_NAME JAR_FILE_PATH{code}
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