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Mario Longobardi mlongob

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mlongob / rdkafkaconsumer.log
Created March 31, 2020 21:51
Supporting data: Consumer using assign() does not re-query coordinator after NOT_COORD_FOR_GROUP
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%7|1585687171.363|MEMBERID|my-consumer#consumer-1| [thrd:app]: Group "mygroup": updating member id "(not-set)" -> ""
%7|1585687171.363|BROKER|my-consumer#consumer-1| [thrd:app]: GroupCoordinator: Added new broker with NodeId -1
%7|1585687171.363|BRKMAIN|my-consumer#consumer-1| [thrd:GroupCoordinator]: GroupCoordinator: Enter main broker thread
%7|1585687171.363|BRKMAIN|my-consumer#consumer-1| [thrd::0/internal]: :0/internal: Enter main broker thread
%7|1585687171.364|BROKER|my-consumer#consumer-1| [thrd:app]: mybroker:9092/bootstrap: Added new broker with NodeId -1
%7|1585687171.364|BRKMAIN|my-consumer#consumer-1| [thrd:mybroker:9092/boots]: mybroker:9092/bootstrap: Enter main broker thread
%7|1585687171.364|INIT|my-consumer#consumer-1| [thrd:app]: librdkafka v1.3.0 (0x10300ff) my-consumer#consumer-1 initialized (builtin.features gzip,snappy,ssl,sasl,regex,lz4,sasl_plain,sasl_scram,plugins,zstd,sasl_oauthbearer, CC CXX INSTALL GNULD LDS LIBDL PLUGINS ZLIB SSL ZSTD HDRHISTOGRAM LZ4_EXT SNAPPY SOCKEM SASL_SCRAM
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mlongob / hbase_backup.md
Last active May 11, 2016 20:00
Hbase backup solutions

Introduction

This is a proposed procedure for Hbase table backups in a secure Hbase cluster. Requirements:

  • Live backups (cannot disable table or take hbase offline)
  • Automated procedure (oozie controlled)
  • On secure cluster
  • On cluster with no world-readable /hbase folder
  • Off cluster backups
  • Off cluster backup location might not have an installed instance of Hbase, just HDFS
  • Off cluster backup location does not have credentials for hbase user
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mlongob / strataconf-nyc-2015-notes.md
Created October 1, 2015 22:36
Hadoop Strata Conference 2015 - Notes

Strata Hadoop NYC 2015

Schedule

Keynotes

The next generation - Kudu:

  • Kudu
  • Kudu fills the gap between HDFS and Hbase for live analytics (time series, high ingest)

What 0-50 million users in 7 days can teach us about big data:

  • Microsoft's Joseph Sirosh