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Search onhadoopsfhug081413 Search onhadoopsfhug081413 Presentation Transcript

  • 1 Adding Search to the Hadoop Ecosystem Gregory Chanan (gchanan AT cloudera.com) SF HUG August 2013
  • Agenda • Big Data and Search – setting the stage • Cloudera Search Architecture • Component deep dive • Security • Conclusion
  • Why Search? • Hadoop for everyone • Typical case: • Ingest data to storage engine (HDFS, HBase, etc) • Process data (MapReduce, Hive, Impala) • Experts know MapReduce • Savvy people know SQL • Everyone knows Search!
  • Why Search? An Integrated Part of the Hadoop System One pool of data One security framework One set of system resources One management interface
  • Benefits of Search • Improved Big Data ROI • An interactive experience without technical knowledge • Single data set for multiple computing frameworks • Faster time to insight • Exploratory analysis, esp. unstructured data • Broad range of indexing options to accommodate needs • Cost efficiency • Single scalable platform; no incremental investment • No need for separate systems, storage
  • What is Cloudera Search? • Full-text, interactive search with faceted navigation • Batch, near real-time, and on-demand indexing • Apache Solr integrated with CDH • Established, mature search with vibrant community • In production environments for years • Open Source • 100% Apache, 100% Solr • Standard Solr APIs • In public beta (version 0.9.3)
  • Cloudera Search Components • HDFS/MR/Lucene/Solr/SolrCloud • Indexing • Near Real Time (NRT) indexing • Batch • ETL – Cloudera Morphlines • Querying
  • Apache Hadoop • Apache HDFS • Distributed file system • High reliability • High throughput • Apache MapReduce • Parallel, distributed programming model • Allows processing of large datasets • Fault tolerant
  • Apache Lucene • Full text search • Indexing • Query • Traditional inverted index • Batch and Incremental indexing • We are using version 4.3 in current release
  • Apache Solr • Search service built using Lucene • Ships with Lucene (same TLP at Apache) • Provides XML/HTTP/JSON/Python/Ruby/… APIs • Indexing • Query • Administrative interface • Also rich web admin GUI via HTTP
  • Apache SolrCloud • Provides distributed Search capability • Part of Solr (not a separate library/codebase) • Shards – provide scalability • partition index for size • replicate for query performance • Uses ZooKeeper for coordination • No split-brain issues • Simplifies operations
  • Distributed Search on Hadoop Flume Hue UI Custom UI Custom App Solr Solr Solr SolrCloud query query query index Hadoop Cluster MR HDFS index HBase index ZK
  • Indexing • Near Real Time (NRT) • Flume • HBase Indexer • Batch (MR)
  • Indexing • Near Real Time (NRT) • Flume • HBase Indexer • Batch (MR)
  • Near Real Time Indexing with Flume Log File Solr and Flume • Data ingest at scale • Flexible extraction and mapping • Indexing at data ingest HDFS Flume Agent Indexer Other Log File Flume Agent Indexer 15
  • Apache Flume - MorphlineSolrSink • A Flume Source… • Receives/gathers events • A Flume Channel… • Carries the event – MemoryChannel or reliable FileChannel • A Flume Sink… • Sends the events on to the next location • Flume MorphlineSolrSink • Integrates Cloudera Morphlines library • ETL, more on that in a bit • Does batching • Results sent to Solr for indexing
  • Indexing • Near Real Time (NRT) • Flume • HBase Indexer • Batch (MR)
  • Near Real Time Indexing of Apache HBase HDFS HBase interactiveload HBase Indexer(s) Trigger Solr server Solr server Solr server Solr server Solr server Search + = planet-sized tabular data immediate access & updates fast & flexible information discovery BIG DATA DATAMANAGEMENT
  • Lily HBase Indexer • Collaboration between NGData & Cloudera • NGData are creators of the Lily data management platform • Lily HBase Indexer • Service which acts as a HBase replication listener • HBase replication features, such as filtering, supported • Replication updates trigger indexing of updates (rows) • Integrates Cloudera Morphlines library for ETL of rows • AL2 licensed on github https://github.com/ngdata
  • Indexing • Near Real Time (NRT) • Flume • HBase Indexer • Batch (MR)
  • Scalable Batch Indexing Index shard Files Index shard Indexer Files Solr server Indexer Solr server 21 HDFS Solr and MapReduce • Flexible, scalable batch indexing • Start serving new indices with no downtime • On-demand indexing, cost- efficient re-indexing
  • MapReduce Indexer MapReduce Job with two parts 1) Scan HDFS for files to be indexed • Much like Unix “find” – see HADOOP-8989 • Output is NLineInputFormat’ed file 2) Mapper/Reducer indexing step • Mapper extracts content via Cloudera Morphlines • Reducer indexes documents via embedded Solr server • Originally based on SOLR-1301 • Many modifications to enable linear scalability
  • MapReduce Indexer “golive” • Cloudera created this to bridge the gap between NRT (low latency, expensive) and Batch (high latency, cheap at scale) indexing • Results of MR indexing operation are immediately merged into a live SolrCloud serving cluster • No downtime for users • No NRT expense • Linear scale out to the size of your MR cluster
  • Cloudera Morphlines • Open Source framework for simple ETL • Ships as part Cloudera Developer Kit (CDK) • It’s a Java library • AL2 licensed on github https://github.com/cloudera/cdk • Simplify ETL • Built-in commands and library support (Avro format, Hadoop SequenceFiles, grok for syslog messages) • Configuration over coding • Standardize ETL
  • Cloudera Morphlines Architecture Solr Solr Solr SolrCloud Logs, tweets, social media, html, images, pdf, text…. Anything you want to index Flume, MR Indexer, HBase indexer, etc... Or your application! Morphline Library Morphlines can be embedded in any application…
  • Extraction and Mapping • Modeled after Unix pipelines • Simple and flexible data transformation • Reusable across multiple index workloads • Over time, extend and re- use across platform workloads syslog Flume Agent Solr sink Command: readLine Command: grok Command: loadSolr Solr Event Record Record Record Document MorphlineLibrary
  • Morphline Example – syslog with grok morphlines : [ { id : morphline1 importCommands : ["com.cloudera.**", "org.apache.solr.**"] commands : [ { readLine {} } { grok { dictionaryFiles : [/tmp/grok-dictionaries] expressions : { message : """<%{POSINT:syslog_pri}>%{SYSLOGTIMESTAMP:syslog_timestamp} %{SYSLOGHOST:syslog_hostname} %{DATA:syslog_program}(?:[%{POSINT:syslog_pid}])?: %{GREEDYDATA:syslog_message}""" } } } { loadSolr {} } ] } ] Example Input <164>Feb 4 10:46:14 syslog sshd[607]: listening on 0.0.0.0 port 22 Output Record syslog_pri:164 syslog_timestamp:Feb 4 10:46:14 syslog_hostname:syslog syslog_program:sshd syslog_pid:607 syslog_message:listening on 0.0.0.0 port 22.
  • Current Command Library • Integrate with and load into Apache Solr • Flexible log file analysis • Single-line record, multi-line records, CSV files • Regex based pattern matching and extraction • Integration with Avro • Integration with Apache Hadoop Sequence Files • Integration with SolrCell and all Apache Tika parsers • Auto-detection of MIME types from binary data using Apache Tika
  • Current Command Library (cont) • Scripting support for dynamic java code • Operations on fields for assignment and comparison • Operations on fields with list and set semantics • if-then-else conditionals • A small rules engine (tryRules) • String and timestamp conversions • slf4j logging • Yammer metrics and counters • Decompression and unpacking of arbitrarily nested container file formats • Etc…
  • Querying • Built-in solr web UI • Write your own • Hue
  • Simple, Customizable Search Interface Hue • Simple UI • Navigated, faceted drill down • Customizable display • Full text search, standard Solr API and query language
  • Security • Upstream Solr doesn’t really deal with security • Goal: use kerberos, like other CDH components • Current release: Support for kerberos authentication • Actively working on Index-level authorization • Future: more granular authorization
  • Conclusion • Cloudera Search now in public beta • Free Download • Extensive documentation • Send your questions and feedback to search- user@cloudera.org • Take the Search online training • Cloudera Manager Standard (i.e. the free version) • Simple management of Search • Free Download • QuickStart VM also available!