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(Herringbone is a common pattern for parquet flooring, whee!)
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target/ | ||
data/ | ||
.idea/ | ||
*.pyc | ||
*.iml | ||
# ignore ROC plots | ||
.tddium* | ||
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.DS_Store |
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The MIT License (MIT) | ||
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Copyright (c) 2014- Stripe, Inc. (https://stripe.com) | ||
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Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
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The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
SOFTWARE. |
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Herringbone | ||
=========== | ||
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Herringbone is a suite of tools for working with parquet files on hdfs, and with impala and hive. | ||
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The available commands are: | ||
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`flatten`: transform a directory of parquet files with a nested structure into a directory of parquet files with a flat schema that can be loaded into impala or hive (neither of which support nested schemas) | ||
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$ herringbone flatten -i /path/to/input/directory -o /path/to/output/directory | ||
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`load`: load a directory of parquet files (which must have a flat schema) into impala or hive (defaulting to impala) | ||
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$ herringbone load [--hive] [-u] -d db_name -t table -p /path/to/parquet/directory | ||
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`tsv`: transform a directory of parquet files into a directory of tsv files (which you can concat properly later with `hadoop fs -getmerge /path/to/tsvs`) | ||
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$ herringbone tsv -i /path/to/input/directory -o /path/to/output/directory | ||
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`compact`: transform a directory of parquet files into a directory of fewer larger parquet files | ||
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$ herringbone compact -i /path/to/input/directory -o /path/to/output/directory | ||
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See `herringbone COMMAND --help` for more information on a specific command. | ||
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Building | ||
-------- | ||
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You'll need thrift 0.9.1 on your path. | ||
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$ git clone github.com/stripe/herringbone | ||
$ cd herringbone | ||
$ mvn package | ||
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Authors | ||
------- | ||
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- [Avi Bryant](http://twitter.com/avibryant) | ||
- [Danielle Sucher](http://twitter.com/daniellesucher) | ||
- [Jeff Balogh](http://twitter.com/jbalogh) |
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#!/usr/bin/env ruby | ||
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usage = <<-USAGE | ||
Herringbone is a suite of tools for working with parquet files on hdfs. | ||
The available commands are: | ||
flatten: Transform a directory of parquet files with a nested structure into a directory of parquet files with a flat schema that can be loaded into impala or hive | ||
load: Load a directory of parquet files (which must have a flat schema) into impala or hive (defaults to impala) | ||
tsv: Transform a directory of parquet files into a directory of tsv files (which you can concat properly later with `hadoop fs -getmerge /path/to/tsvs`) | ||
compact: Transform a directory of parquet files into a directory of fewer larger parquet files | ||
Example usage: | ||
`herringbone flatten -i /path/to/input/directory -o /path/to/output/directory` | ||
`herringbone load [--hive] [-u] -d db_name -t table -p /path/to/parquet/directory` | ||
`herringbone tsv -i /path/to/input/directory -o /path/to/output/directory` | ||
`herringbone compact -i /path/to/input/directory -o /path/to/output/directory` | ||
See 'herringbone COMMAND --help' for more information on a specific command. | ||
USAGE | ||
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command_jobs = { | ||
'compact' => 'CompactJob', | ||
'load' => 'ParquetLoad', | ||
'flatten' => 'FlattenJob', | ||
'tsv' => 'TsvJob', | ||
} | ||
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# Validate the given command and print usage if needed. | ||
command = ARGV.shift | ||
JOB = command_jobs[command] | ||
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if ['-h', '--help'].include?(command) | ||
puts usage | ||
exit 0 | ||
elsif !JOB | ||
STDERR.puts "\nError: #{command} is not an available command\n\n" | ||
puts "#{'=' * 30}\n\n" | ||
puts usage | ||
exit 1 | ||
end | ||
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jar_path = File.join( | ||
File.dirname(__FILE__), | ||
'../', | ||
'herringbone-main', | ||
'target', | ||
'herringbone-0.0.1-jar-with-dependencies.jar' | ||
) | ||
JAR = File.expand_path(jar_path) | ||
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ENV["HADOOP_CLASSPATH"] = JAR | ||
ENV["HADOOP_USER_CLASSPATH_FIRST"] = "true" | ||
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exec( | ||
"hadoop", | ||
"jar", | ||
JAR, | ||
"com.stripe.herringbone.#{JOB}", | ||
*ARGV | ||
) |
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" | ||
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> | ||
<modelVersion>4.0.0</modelVersion> | ||
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<groupId>com.stripe</groupId> | ||
<artifactId>herringbone-impala</artifactId> | ||
<version>0.0.2</version> | ||
<packaging>jar</packaging> | ||
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<name>Herringbone Impala</name> | ||
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<pluginRepositories> | ||
<pluginRepository> | ||
<id>dtrott</id> | ||
<url>http://maven.davidtrott.com/repository</url> | ||
</pluginRepository> | ||
</pluginRepositories> | ||
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<build> | ||
<plugins> | ||
<plugin> | ||
<groupId>org.apache.maven.plugins</groupId> | ||
<artifactId>maven-compiler-plugin</artifactId> | ||
<version>3.1</version> | ||
<configuration> | ||
<source>1.6</source> | ||
<target>1.6</target> | ||
</configuration> | ||
</plugin> | ||
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<plugin> | ||
<artifactId>maven-jar-plugin</artifactId> | ||
<version>2.3.1</version> | ||
</plugin> | ||
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<plugin> | ||
<artifactId>maven-resources-plugin</artifactId> | ||
<version>2.4.3</version> | ||
</plugin> | ||
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<plugin> | ||
<groupId>net.alchim31.maven</groupId> | ||
<artifactId>scala-maven-plugin</artifactId> | ||
<version>3.1.6</version> | ||
<executions> | ||
<execution> | ||
<goals> | ||
<goal>compile</goal> | ||
<goal>testCompile</goal> | ||
</goals> | ||
</execution> | ||
</executions> | ||
</plugin> | ||
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<plugin> | ||
<groupId>org.apache.thrift.tools</groupId> | ||
<artifactId>maven-thrift-plugin</artifactId> | ||
<version>0.1.11</version> | ||
<configuration> | ||
<checkStaleness>true</checkStaleness> | ||
<thriftExecutable>thrift</thriftExecutable> | ||
</configuration> | ||
<executions> | ||
<execution> | ||
<id>thrift-sources</id> | ||
<phase>generate-sources</phase> | ||
<goals> | ||
<goal>compile</goal> | ||
</goals> | ||
</execution> | ||
<execution> | ||
<id>thrift-test-sources</id> | ||
<phase>generate-test-sources</phase> | ||
<goals> | ||
<goal>testCompile</goal> | ||
</goals> | ||
</execution> | ||
</executions> | ||
</plugin> | ||
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</plugins> | ||
</build> | ||
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<properties> | ||
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> | ||
<scala.version>2.10.3</scala.version> | ||
<maven.compiler.source>1.6</maven.compiler.source> | ||
<maven.compiler.target>1.6</maven.compiler.target> | ||
</properties> | ||
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<repositories> | ||
<repository> | ||
<id>cloudera-releases</id> | ||
<url>https://repository.cloudera.com/artifactory/cloudera-repos</url> | ||
<releases> | ||
<enabled>true</enabled> | ||
</releases> | ||
<snapshots> | ||
<enabled>false</enabled> | ||
</snapshots> | ||
</repository> | ||
</repositories> | ||
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<dependencies> | ||
<dependency> | ||
<groupId>org.apache.thrift</groupId> | ||
<artifactId>libthrift</artifactId> | ||
<version>0.9.1</version> | ||
</dependency> | ||
<dependency> | ||
<groupId>org.slf4j</groupId> | ||
<artifactId>slf4j-log4j12</artifactId> | ||
<version>1.5.2</version> | ||
</dependency> | ||
</dependencies> | ||
</project> | ||
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herringbone-impala/src/main/scala/com/stripe/herringbone/impala/Connection.scala
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package com.stripe.herringbone.impala | ||
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import org.apache.thrift.transport.TSocket | ||
import org.apache.thrift.protocol.TBinaryProtocol | ||
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import com.cloudera.impala.thrift.ImpalaService.{Client => ClouderaImpalaClient} | ||
import com.cloudera.beeswax.api._ | ||
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import scala.annotation.tailrec | ||
import scala.collection.JavaConversions._ | ||
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case class Connection(host: String, port: Int) { | ||
var isOpen = false | ||
lazy val socket = new TSocket(host, port) | ||
lazy val client = new ClouderaImpalaClient(new TBinaryProtocol(socket)) | ||
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open | ||
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def open = { | ||
if (!isOpen) { | ||
socket.open | ||
client.ResetCatalog | ||
isOpen = true | ||
} | ||
} | ||
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def close = { | ||
if (isOpen) { | ||
socket.close | ||
isOpen = false | ||
} | ||
} | ||
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// Refresh the metadata store. | ||
def refresh = { | ||
if (!isOpen) throw ConnectionException("Connection closed") | ||
client.ResetCatalog | ||
} | ||
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// Perform a query, and pass in a function that will be called with each | ||
// row of the results | ||
def query(raw: String)(fn: Seq[ImpalaValue] => Unit) { | ||
val cursor = execute(raw) | ||
cursor.foreach { row => fn(row) } | ||
cursor.close | ||
} | ||
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// Perform a query and return a cursor for iterating over the results. | ||
// You probably want to call cursor.close when you're done with it. | ||
def execute(raw: String): Cursor = { | ||
if (!isOpen) throw ConnectionException("Connection closed") | ||
validateQuery(raw) | ||
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val query = new Query | ||
query.query = raw | ||
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val handle = client.query(query) | ||
Cursor(handle, client) | ||
} | ||
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private def validateQuery(raw: String) = { | ||
val words = raw.split("\\s+") | ||
if (words.isEmpty) throw InvalidQueryException("Empty query") | ||
} | ||
} |
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