HDB 2.1.1 Reference: http://hdb.docs.pivotal.io/211 http://hdb.docs.pivotal.io/211/hdb/releasenotes/HAWQ211ReleaseNotes.html http://hdb.docs.pivotal.io/211/hdb/install/install-ambari.html Download HDB from Hortonworks at http://hortonworks.com/downloads/ or directly from Pivotal at https://network.pivotal.io/products/pivotal-hdb (You need to create a pivotal account) What to look out for If you use only only 1 Master Node, you cannot have a Hawq Master and Standby If I install Hawq Master on Same node with Ambari need to change PostGres Port from 5432 on Install Prep Ensure that httpd is installed yum install httpd sudo service httpd status sudo service httpd start Get and Install repo Log onto Pivotal and download hdb-2.1.1.0-7.tar /* On Ambari Node */ 1. mkdir /staging 2. chmod a+rx /staging 3. scp -i <<your key>> -o 'StrictHostKeyChecking=no' hdb-2.1.1.0-7.tar root@<<ambarinode>>:~/staging 4. tar -zxvf hdb-2.1.1.0-7.tarcd /staging/hdb-2.1.1.0./setup_repo.sh /* You should see the message “hdb-2.1.1.0 Repo file successfully created at /etc/yum.repos.d/hdb-2.1.1.0.repo. */ 5. yum install -y hawq-ambari-plugin 6. cd /var/lib/hawq 7. ./add-hawq.py --user admin --password admin --stack HDP-2.5 /* if the repo is in the same node as Ambari else pint to where the repo lives*/ ./add-hawq.py --user <admin-username> --password <admin-password> --stack HDP-2.5 --hawqrepo <hdb-2.1.x-url> --addonsrepo <hdb-add-ons-2.1.x-url> 8. ambari-server restart Configurations during Install with Ambari Set VM overcommit to 0 if you plan to use Hive and/or LLAP also on the same cluster; Don’t follow Pivotal docs to set this to 2 ele your Hive processes will have memory issues. Advanced hdfs-site Property Setting dfs.allow.truncate true dfs.block.access.token.enable false for an unsecured HDFS cluster, or true for a secure cluster dfs.block.local-path-access.user gpadmin dfs.client.read.shortcircuit true dfs.client.socket-timeout*** 300000000 dfs.client.use.legacy.blockreader.local false dfs.datanode.handler.count 60 dfs.datanode.socket.write.timeout*** 7200000 dfs.namenode.handler.count 600 dfs.support.append true Advanced core-site Property Setting ipc.client.connection.maxidletime** 3600000 ipc.client.connect.timeout** 300000 ipc.server.listen.queue.size 3300 Some HAWQ Resources Date Type Formating Functions: https://www.postgresql.org/docs/8.2/static/functions-formatting.html Date Time Functions: https://www.postgresql.org/docs/8.2/static/functions-datetime.html Hawq Date Functions: http://tapoueh.org/blog/2013/08/20-Window-Functions HAWQ is better with dates; can automatically handle ’08/01/2016’ and ’01-Aug-2016’ PostGreSQL Cheat Sheet Commands: http://www.postgresonline.com/downloads/special_feature/postgresql83_psql_cheatsheet.pdf System Catalog Tables: http://hdb.docs.pivotal.io/131/docs-hawq-shared/ref_guide/system_catalogs/catalog_ref-tables.html HAWQ Toolkit Make sure and make use of the Hawq Toolkit: http://hdb.docs.pivotal.io/211/hawq/reference/toolkit/hawq_toolkit.html How to find the data files for specific tables: https://discuss.pivotal.io/hc/en-us/articles/204072646-Pivotal-HAWQ-find-data-files-for-specific-tables Size of table on Disk: select * from hawq_toolkit.hawq_size_of_table_disk; How to find the Size of Database: select sodddatname, sodddatsize/(1024*1024) from hawq_toolkit.hawq_size_of_database; How to find the Size of Partitioned Tables: select * hawq_toolkit.hawq_size_of_partition_and_indexes_disk Tip to find how many segments for a Hawq Table SELECT gp_segment_id, COUNT(*) FROM <<table>> GROUP BY gp_segment_id ORDER BY 1; Creating Tables <<TBD> Make SURE AFTER YOU CREATE THE TABLE ANALYZE: As an Example: vacuum analyze device.priority_counter_hist_rand; Loading Data to Tables <<TBD> Potential HAWQ Errors Too many open files in system To fix this check the value for fs.file-max in /etc/sysctl.conf. If configured a value that is lower than the total # of open files for the entire system at a given point (lsof | wc -l) then we would have increase this. To increase this value follow the below steps Open Files: lsof | wc -l ulimit -a | grep open Edit the following line in the /etc/sysctl.conf file: fs.file-max = value #value is the new file descriptor limit that you want to set. Apply the change by running the following command:# /sbin/sysctl -p We can disable over-commit temporarily: echo 0 > /proc/sys/vm/overcommit_memory For permanent solution: Add vm.overcommit_memory = 0 in /etc/sysctl.conf #fs.file-max=65536 fs.file-max=2900000 #Added for Hortonworks HDB kernel.threads-max=798720 vm.overcommit_memory=0 ... View more

Here are the Requirements: Total Data Size - Uncompressed: 13.5TB; Compressed: 2 TB Large Virtual Fact Table, View containing a Union All of 3 Large Tables, 11 Billion Records in Total Size Another view taking the large virtual fact table, with consecutive Left Out Joins on 8 Dimension Tables, so that no matter what 11 Billion records is always the result. There is timestamp data that you can use to filter rows by. Suppose you were given the following. How would you begin configuring Hortonworks for Hive? Would you focus on storage? How can we configure for compute? Lets assume: Platform: AWS Data Node Instance: r3_4xlarge Cores: 16 RAM: 122 GB EBS Storage: 2 x 1TB Disks So where do we begin? First Some Quick Calculations: Memory per Core: 122GB/16 = 7.625; Approximate 8 GB per CPU Core This means our largest Container Size PER Node per core is 8 GB However we should not reserve all 16 Cores to Hadoop. Some Cores are need for OS and other processes. Let's Assume 14 Cores is reserved for YARN. Memory Allocated for All YARN containers on a node = No. of Virtual Cores x Memory Per Core 114688 MB = 14 * 8192 MB (8 *1024) Note Also At 8 GB, we can run in parallel 14 Tasks (Mappers or Reducers), one per CPU, without wasting RAM. We can certainly run container sizes less than 8GB if we wish, Since our Optimal Container Size per Node is 8 GB, our Yarn Minimum Container Size must be a factor of 8GB to prevent wastage of memory, that is: 1,2,4,8 However Tez Container Size for Hive is a multiple of Yarn Minimum Container Size Memory Settings YARN Hive TEZ Running Application Error ... View more