Hive error HDP 2.6.5

[#1]

Hello please can you help me?

I'm trying use hive in HDP and run this error:

sandbox-hdp login: root
root@sandbox-hdp.hortonworks.com's password:
Last login: Fri Jul 17 23:45:43 2020 from 172.18.0.3
[root@sandbox-hdp ~]# hive
log4j:WARN No such property [maxFileSize] in org.apache.log4j.DailyRollingFileAppender.

Logging initialized using configuration in file:/etc/hive/2.6.5.0-292/0/hive-log4j.properties

[#2]

@LeticiaAraujo 

That is the warning you should be able to continue, you will need adjust the log4j.properties.Having said that to switch to user hive from a root session you should do the following

[root@sandbox-hdp ~]# su - hive 

Note the dash and space the above switch command change the context to the hive user variables.

explanation

su - 

invokes a login shell after switching the user and the login shell resets most environment variables, providing a clean base.

su 

Just switches the user, providing a normal shell with an environment nearly the same as with the old use [root]

[#3]

Thank you Shelton.

Please I'm new in this, what I have to I change in log4j.properties? Thank you so much.

# Licensed to the Apache Software Foundation (ASF) under one
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# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
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# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# Define some default values that can be overridden by system properties
hive.log.threshold=ALL
hive.root.logger=INFO,DRFA
hive.log.dir=${java.io.tmpdir}/${user.name}
hive.log.file=hive.log

# Define the root logger to the system property "hadoop.root.logger".
log4j.rootLogger=${hive.root.logger}, EventCounter

# Logging Threshold
log4j.threshold=${hive.log.threshold}

#
# Daily Rolling File Appender
#
# Use the PidDailyerRollingFileAppend class instead if you want to use separate log files
# for different CLI session.
#
# log4j.appender.DRFA=org.apache.hadoop.hive.ql.log.PidDailyRollingFileAppender

log4j.appender.DRFA=org.apache.log4j.DailyRollingFileAppender

log4j.appender.DRFA.File=${hive.log.dir}/${hive.log.file}

# Rollver at midnight
log4j.appender.DRFA.DatePattern=.yyyy-MM-dd

# 30-day backup
#log4j.appender.DRFA.MaxBackupIndex= 30
log4j.appender.DRFA.MaxFileSize = 256MB
log4j.appender.DRFA.layout=org.apache.log4j.PatternLayout

# Pattern format: Date LogLevel LoggerName LogMessage
#log4j.appender.DRFA.layout.ConversionPattern=%d{ISO8601} %p %c: %m%n
# Debugging Pattern format
log4j.appender.DRFA.layout.ConversionPattern=%d{ISO8601} %-5p [%t]: %c{2} (%F:%M(%L)) - %m%n

#
# console
# Add "console" to rootlogger above if you want to use this
#

log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} [%t]: %p %c{2}: %m%n
log4j.appender.console.encoding=UTF-8

#custom logging levels
#log4j.logger.xxx=DEBUG

#
# Event Counter Appender
# Sends counts of logging messages at different severity levels to Hadoop Metrics.
#
log4j.appender.EventCounter=org.apache.hadoop.hive.shims.HiveEventCounter

log4j.category.DataNucleus=ERROR,DRFA
log4j.category.Datastore=ERROR,DRFA
log4j.category.Datastore.Schema=ERROR,DRFA
log4j.category.JPOX.Datastore=ERROR,DRFA
log4j.category.JPOX.Plugin=ERROR,DRFA
log4j.category.JPOX.MetaData=ERROR,DRFA
log4j.category.JPOX.Query=ERROR,DRFA
log4j.category.JPOX.General=ERROR,DRFA
log4j.category.JPOX.Enhancer=ERROR,DRFA

# Silence useless ZK logs
log4j.logger.org.apache.zookeeper.server.NIOServerCnxn=WARN,DRFA
log4j.logger.org.apache.zookeeper.ClientCnxnSocketNIO=WARN,DRFA

[#4]

@LeticiaAraujo 
Log4j properties set the properties that control logging activities for each service running in your Hadoop cluster. This is something that every site can customize according to its needs like enabling DEBUG will generate detailed by huge logs is you want to analyze the issue with your service. Rotation of the logs, compression format or logfile size etc

Logging services is a topic on its own, and here is a good source for reading log4j  the most common task is enabling DEBUG and Log rotation and it's date format.