I have got the following setup for a local Hive-Server with Hadoop: version: "3" services: namenode: image: bde2020/hadoop-namenode:2.0.0-hadoop3.2.1-java8 container_name: namenode restart: always ports: – 9870:9870 – 9000:9000 volumes: – ./hdfs/namenode:/hadoop/dfs/name environment: – CLUSTER_NAME=test env_file: – ./hadoop.env datanode: image: bde2020/hadoop-datanode:2.0.0-hadoop3.2.1-java8 container_name: datanode restart: always volumes: – ./hdfs/datanode:/hadoop/dfs/data environment: SERVICE_PRECONDITION: "namenode:9870" env_file: – ./hadoop.env hive-server: image: bde2020/hive:2.3.2-postgresql-metastore ..
I want to setup a local hive server and found this repo: https://github.com/big-data-europe/docker-hive This is the yaml file I use. version: "3" services: namenode: image: bde2020/hadoop-namenode:2.0.0-hadoop2.7.4-java8 volumes: – namenode:/hadoop/dfs/name environment: – CLUSTER_NAME=test env_file: – ./hadoop-hive.env ports: – "50070:50070" datanode: image: bde2020/hadoop-datanode:2.0.0-hadoop2.7.4-java8 volumes: – datanode:/hadoop/dfs/data env_file: – ./hadoop-hive.env environment: SERVICE_PRECONDITION: "namenode:50070" ports: – "50075:50075" hive-server: image: ..
Input Data wk_end_d Total Volume 2/6/2021 236255 2/13/2021 231962 2/20/2021 190785 2/27/2021 209750 3/6/2021 234347 3/13/2021 210586 3/20/2021 217937 3/27/2021 266082 4/3/2021 228382 4/10/2021 200622 4/17/2021 260464 4/24/2021 229509 5/1/2021 259193 Output how iam looking for is .How can I achieve this the calculations are interdependent |wk_end_d| |Total Volume| |New Volume| |Worked Volume| |Remaining Volume| ..
I’m trying to connect to hive-server in my docker container with the command beeline -u jdbc:hive2://localhost:10000, but i get the erros: [email protected]_server:/opt# beeline -u jdbc:hive2://localhost:10000 SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/opt/hive/lib/log4j-slf4j-impl-2.6.2.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/opt/hadoop-2.7.4/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory] ..
I have been struggling to run Hive queries from the HiveOperator task. Hive and Airflow are installed in docker containers and I can query Hive tables from python code from the Airflow container and also via Hive CLI successfully. But when I run Airflow DAG, I see an error stating that the hive/beeline file is ..
Following these instructions, I get to the point where I want to execute pyspark. First, some perhaps useful information about what is going on: [email protected]:~/docker-hadoop-spark$ docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 0d3a7c199e40 bde2020/spark-worker:3.0.0-hadoop3.2 "/bin/bash /worker.sh" 39 minutes ago Up 18 minutes 0.0.0.0:8081->8081/tcp spark-worker-1 c57ee3c4c30e bde2020/hive:2.3.2-postgresql-metastore "entrypoint.sh /bin/u2026" 50 minutes ago Up ..
I have installed apache hadoop and hive using a docker-compose.yml file. I tried to connect to the hive server using /opt/hive/bin/beeline -u jdbc:hive2://hiveserver:10000 but it doesnt seem to work and gives following error I tried checking the logs for datanode and namenode on docker desktop which shows following namenode datanode Any help would be a ..
when i try to install a sandbox-hdp version 2.6.5 by hortonworks on docker in my system by running docker-deploy-hdp256.sh script with sh command i recived the error at the end of all the pulling and some verification checksums are done. error: docker: Error response from daemon: Ports are not available: listen tcp 0.0.0.0:50075: bind: An ..
I am trying to load data into hive table running on docker container using the following: i get the error below:`Windows PowerShell Copyright (C) Microsoft Corporation. All rights reserved. Try the new cross-platform PowerShell https://aka.ms/pscore6 PS C:UsersJohn Mekubo> cd desktop PS C:UsersJohn Mekubodesktop> cd hive PS C:UsersJohn Mekubodesktophive> cd docker-hive PS C:UsersJohn Mekubodesktophivedocker-hive> docker-compose up ..
I’m working with a dockerized pyspark cluster which utilizes yarn. To improve the efficieny of the data processing pipelines I want to increase the amount of memory allocated to the pyspark executors and the driver. This is done by adding the following two key, value pairs to the REST post request, which is sent out ..