|
|
|
|
| LEADER |
05157nmm a2200589 u 4500 |
| 001 |
EB001908894 |
| 003 |
EBX01000000000000001071796 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
210123 ||| eng |
| 020 |
|
|
|a 9781784399146
|
| 050 |
|
4 |
|a QA76.9.D5
|
| 100 |
1 |
|
|a Hoffman, Steve
|
| 245 |
0 |
0 |
|a Apache Flume: distributed log collection for Hadoop
|b design and implement a series of Flume agents to send streamed data into Hadoop
|c Steve Hoffman
|
| 246 |
3 |
1 |
|a Design and implement a series of Flume agents to send streamed data into Hadoop
|
| 250 |
|
|
|a Second edition
|
| 260 |
|
|
|a Birmingham, UK
|b Packt Publishing
|c 2015
|
| 300 |
|
|
|a 1 volume
|b illustrations
|
| 505 |
0 |
|
|a Chapter 5: Sources and Channel SelectorsThe problem with using tail; The Exec source; Spooling Directory Source; Syslog sources; The syslog UDP source; The syslog TCP source; The multiport syslog TCP source; JMS source; Channel selectors; Replicating; Multiplexing; Summary; Chapter 6: Interceptors, ETL, and Routing; Interceptors; Timestamp; Host; Static; Regular expression filtering; Regular expression extractor; Morphline interceptor; Custom interceptors; The plugins directory; Tiering flows; The Avro source/sink; Compressing Avro; SSL Avro flows; The Thrift source/sink
|
| 505 |
0 |
|
|a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Overview and Architecture; Flume 0.9; Flume 1.X (Flume-NG); The problem with HDFS and streaming data/logs; Sources, channels, and sinks; Flume events; Interceptors, channel selectors, and sink processors; Tiered data collection (multiple flows and/or agents); The Kite SDK; Summary; Chapter 2: A Quick Start Guide to Flume; Downloading Flume; Flume in Hadoop distributions; An overview of the Flume configuration file; Starting up with ""Hello, World!""; Summary
|
| 505 |
0 |
|
|a MonitNagios; Monitoring performance metrics; Ganglia; Internal HTTP server; Custom monitoring hooks; Summary; Chapter 9: There Is No Spoon -- the Realities of Real-time Distributed Data Collection; Transport time versus log time; Time zones are evil; Capacity planning; Considerations for multiple data centers; Compliance and data expiry; Summary; Index
|
| 505 |
0 |
|
|a Using command-line AvroThe Log4J appender; The Log4J load-balancing appender; The embedded agent; Configuration and startup; Sending data; Shutdown; Routing; Summary; Chapter 7: Putting it All Together; Web logs to searchable UI; Setting up the web server; Configuring log rotation to the spool directory; Setting up the target -- Elasticsearch; Setting up Flume on collector/relay; Setting up Flume on the client; Creating more search fields with an interceptor; Setting up a better user interface -- Kibana; Archiving to HDFS; Summary; Chapter 8: Monitoring Flume; Monitoring the agent process
|
| 505 |
0 |
|
|a Chapter 3: ChannelsThe memory channel; The file channel; Spillable Memory Channel; Summary; Chapter 4: Sinks and Sink Processors; HDFS sink; Path and filename; File rotation; Compression codecs; Event Serializers; Text output; Text with headers; Apache Avro; User-provided Avro schema; File type; SequenceFile; DataStream; CompressedStream; Timeouts and workers; Sink groups; Load balancing; Failover; MorphlineSolrSink; Morphline configuration files; Typical SolrSink configuration; Sink configuration; ElasticSearchSink; LogStash Serializer; Dynamic Serializer; Summary
|
| 653 |
|
|
|a Traitement réparti
|
| 653 |
|
|
|a COMPUTERS / Computer Science / bisacsh
|
| 653 |
|
|
|a COMPUTERS / Hardware / General / bisacsh
|
| 653 |
|
|
|a Electronic data processing / Distributed processing / fast
|
| 653 |
|
|
|a COMPUTERS / Data Processing / bisacsh
|
| 653 |
|
|
|a COMPUTERS / Reference / bisacsh
|
| 653 |
|
|
|a Electronic data processing / Distributed processing / http://id.loc.gov/authorities/subjects/sh85042293
|
| 653 |
|
|
|a File organization (Computer science) / http://id.loc.gov/authorities/subjects/sh85048195
|
| 653 |
|
|
|a File organization (Computer science) / fast
|
| 653 |
|
|
|a COMPUTERS / Computer Literacy / bisacsh
|
| 653 |
|
|
|a Fichiers (Informatique) / Organisation
|
| 653 |
|
|
|a Apache Hadoop / fast
|
| 653 |
|
|
|a COMPUTERS / Machine Theory / bisacsh
|
| 653 |
|
|
|a Apache Hadoop / http://id.loc.gov/authorities/names/n2013024279
|
| 653 |
|
|
|a COMPUTERS / Information Technology / bisacsh
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b OREILLY
|a O'Reilly
|
| 490 |
0 |
|
|a Community experience distilled
|
| 500 |
|
|
|a Includes index
|
| 776 |
|
|
|z 9781784399146
|
| 776 |
|
|
|z 1784399140
|
| 776 |
|
|
|z 1784392170
|
| 776 |
|
|
|z 9781784392178
|
| 776 |
|
|
|z 1784399140
|
| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781784392178/?ar
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 500
|
| 082 |
0 |
|
|a 004.36
|
| 082 |
0 |
|
|a 300
|
| 520 |
|
|
|a If you are a Hadoop programmer who wants to learn about Flume to be able to move datasets into Hadoop in a timely and replicable manner, then this book is ideal for you. No prior knowledge about Apache Flume is necessary, but a basic knowledge of Hadoop and the Hadoop File System (HDFS) is assumed
|