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Posted to commits@carbondata.apache.org by ch...@apache.org on 2017/04/12 11:51:33 UTC
[05/54] incubator-carbondata-site git commit: Wip for Automating
Documentation for Website
http://git-wip-us.apache.org/repos/asf/incubator-carbondata-site/blob/4f8753c1/src/main/webapp/docs/latest/installation-guide.html
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-<!--
- Licensed to the Apache Software Foundation (ASF) under one
- or more contributor license agreements. See the NOTICE file
- distributed with this work for additional information
- regarding copyright ownership. The ASF licenses this file
- to you under the Apache License, Version 2.0 (the
- "License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing,
- software distributed under the License is distributed on an
- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- KIND, either express or implied. See the License for the
- specific language governing permissions and limitations
- under the License.
---><h1>Installation Guide</h1><p>This tutorial guides you through the installation and configuration
- of CarbonData in the following two modes :</p>
-<ul>
- <li><a href="#installing-spark-cluster">Installing and
- Configuring CarbonData on Standalone Spark Cluster</a></li>
- <li><a href="#installing-yarn-cluster">Installing and
- Configuring CarbonData on "Spark on YARN" Cluster</a></li>
-</ul><p>followed by :</p>
-<ul>
- <li><a href="#query-execution">Query Execution using CarbonData
- Thrift Server</a></li>
-</ul><h2 id="installing-spark-cluster">Installing and Configuring CarbonData on Standalone Spark Cluster</h2><h3>
- Prerequisites</h3>
-<ul>
- <li><p>Hadoop HDFS and Yarn should be installed and running.</p></li>
- <li><p>Spark should be installed and running on all the cluster nodes.</p></li>
- <li><p>CarbonData user should have permission to access HDFS.</p></li>
-</ul><h3>Procedure</h3>
-<ul>
- <li><p><a
- href="https://github.com/apache/incubator-carbondata/blob/master/build/README.md" target="_blank">Build
- the CarbonData</a> project and get the assembly jar from
- "./assembly/target/scala-2.10/carbondata_xxx.jar" and put in the <code>"<SPARK_HOME>/carbonlib"</code>
- folder.</p>
- <p>NOTE: Create the carbonlib folder if it does not exists inside <code>"<SPARK_HOME>"</code>
- path.</p></li>
- <li><p>Add the carbonlib folder path in the Spark classpath. (Edit <code>"<SPARK_HOME>/conf/spark-env.sh"</code>
- file and modify the value of SPARK_CLASSPATH by appending <br/><code>"<SPARK_HOME>/carbonlib/*"</code>
- to the existing value)</p></li>
- <li><p>Copy the carbon.properties.template to <code>"<SPARK_HOME>/conf/carbon.properties"</code>
- folder from "./conf/" of CarbonData repository.</p></li>
- <li><p>Copy the "carbonplugins" folder to <code>"<SPARK_HOME>/carbonlib"</code>
- folder from "./processing/" folder of CarbonData repository.</p>
- <p>NOTE: carbonplugins will contain .kettle folder.</p></li>
- <li><p>In Spark node, configure the properties mentioned in the following table in <code>"<SPARK_HOME>/conf/spark-defaults.conf"</code>
- file.</p></li>
-</ul>
-<table class="table table-striped table-bordered">
- <thead>
- <tr>
- <th>Property</th>
- <th>Description</th>
- <th>Value</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>carbon.kettle.home</td>
- <td>Path that will be used by CarbonData internally to create graph for loading the data
- </td>
- <td>$SPARK_HOME /carbonlib/carbonplugins</td>
- </tr>
- <tr>
- <td>spark.driver.extraJavaOptions</td>
- <td>A string of extra JVM options to pass to the driver. For instance, GC settings or other
- logging.
- </td>
- <td>-Dcarbon.properties.filepath=$SPARK_HOME/conf/carbon.properties</td>
- </tr>
- <tr>
- <td>spark.executor.extraJavaOptions</td>
- <td>A string of extra JVM options to pass to executors. For instance, GC settings or other
- logging. NOTE: You can enter multiple values separated by space.
- </td>
- <td>-Dcarbon.properties.filepath=$SPARK_HOME/conf/carbon.properties</td>
- </tr>
- </tbody>
-</table>
-<ul>
- <li>Add the following properties in <code>"<SPARK_HOME>/conf/"
- carbon.properties</code>:
- </li>
-</ul>
-<table class="table table-striped table-bordered">
- <thead>
- <tr>
- <th>Property</th>
- <th>Required</th>
- <th>Description</th>
- <th>Example</th>
- <th>Remark</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>carbon.storelocation</td>
- <td>NO</td>
- <td>Location where data CarbonData will create the store and write the data in its own
- format.
- </td>
- <td>hdfs://HOSTNAME:PORT/Opt/CarbonStore</td>
- <td>Propose to set HDFS directory</td>
- </tr>
- <tr>
- <td>carbon.kettle.home</td>
- <td>YES</td>
- <td>Path that will be used by CarbonData internally to create graph for loading the data.
- </td>
- <td>$SPARK_HOME/carbonlib/carbonplugins</td>
- <td></td>
- </tr>
- </tbody>
-</table>
-<ul>
- <li>Verify the installation. For example:</li>
-</ul><p><code>
- ./spark-shell --master spark://HOSTNAME:PORT --total-executor-cores 2
- --executor-memory 2G
-</code></p><p>NOTE: Make sure you have permissions for CarbonData JARs and files through which
- driver and executor will start.</p><p>To get started with CarbonData : <a
- href="mainpage.html?page=quickStart">Quick Start</a> , <a href="mainpage.html?page=ddl">DDL
- Operations on CarbonData</a></p>
- <h2 id="installing-yarn-cluster">Installing and Configuring CarbonData on "Spark on YARN"
- Cluster</h2><p>This section provides the procedure to install CarbonData on "Spark on YARN"
- cluster.</p><h3>Prerequisites</h3>
-<ul>
- <li>Hadoop HDFS and Yarn should be installed and running.</li>
- <li>Spark should be installed and running in all the clients.</li>
- <li>CarbonData user should have permission to access HDFS.</li>
-</ul><h3>Procedure</h3><p>The following steps are only for Driver Nodes. (Driver nodes are the one
- which starts the spark context.)</p>
-<ul>
- <li><p><a
- href="https://github.com/apache/incubator-carbondata/blob/master/build/README.md" target="_blank">Build
- the CarbonData</a> project and get the assembly jar from
- "./assembly/target/scala-2.10/carbondata_xxx.jar" and put in the <code>"<SPARK_HOME>/carbonlib"</code>
- folder.</p>
- <p>NOTE: Create the carbonlib folder if it does not exists inside <code>"<SPARK_HOME>"</code>
- path.</p></li>
- <li><p>Copy "carbonplugins" folder to <code>"<SPARK_HOME>/carbonlib"</code>
- folder from "./processing/" folder of CarbonData repository. carbonplugins will contain
- .kettle folder.</p></li>
- <li><p>Copy the "carbon.properties.template" to <code>"<SPARK_HOME>/conf/carbon.properties"</code>
- folder from conf folder of CarbonData repository.</p></li>
- <li>Modify the parameters in "spark-default.conf" located in the <code>"<SPARK_HOME>/conf</code>"
- </li>
-</ul>
-<table class="table table-striped table-bordered">
- <thead>
- <tr>
- <th>Property</th>
- <th>Description</th>
- <th>Value</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>spark.master</td>
- <td>Set this value to run the Spark in yarn cluster mode.</td>
- <td>Set "yarn-client" to run the Spark in yarn cluster mode.</td>
- </tr>
- <tr>
- <td>spark.yarn.dist.files</td>
- <td>Comma-separated list of files to be placed in the working directory of each executor.
- </td>
- <td><code>"<YOUR_SPARK_HOME_PATH>"/conf/carbon.properties</code></td>
- </tr>
- <tr>
- <td>spark.yarn.dist.archives</td>
- <td>Comma-separated list of archives to be extracted into the working directory of each
- executor.
- </td>
- <td><code>"<YOUR_SPARK_HOME_PATH>"/carbonlib/carbondata_xxx.jar</code></td>
- </tr>
- <tr>
- <td>spark.executor.extraJavaOptions</td>
- <td>A string of extra JVM options to pass to executors. For instance NOTE: You can enter
- multiple values separated by space.
- </td>
- <td><code>-Dcarbon.properties.filepath="<YOUR_SPARK_HOME_PATH>"/conf/carbon.properties</code>
- </td>
- </tr>
- <tr>
- <td>spark.executor.extraClassPath</td>
- <td>Extra classpath entries to prepend to the classpath of executors. NOTE: If
- SPARK_CLASSPATH is defined in spark-env.sh, then comment it and append the values in
- below parameter spark.driver.extraClassPath
- </td>
- <td><code>
- "<YOUR_SPARK_HOME_PATH>"/carbonlib/carbonlib/carbondata_xxx.jar</code>
- </td>
- </tr>
- <tr>
- <td>spark.driver.extraClassPath</td>
- <td>Extra classpath entries to prepend to the classpath of the driver. NOTE: If
- SPARK_CLASSPATH is defined in spark-env.sh, then comment it and append the value in
- below parameter spark.driver.extraClassPath.
- </td>
- <td><code>
- "<YOUR_SPARK_HOME_PATH>"/carbonlib/carbonlib/carbondata_xxx.jar</code>
- </td>
- </tr>
- <tr>
- <td>spark.driver.extraJavaOptions</td>
- <td>A string of extra JVM options to pass to the driver. For instance, GC settings or other
- logging.
- </td>
- <td><code>-Dcarbon.properties.filepath="<YOUR_SPARK_HOME_PATH>"/conf/carbon.properties</code>
- </td>
- </tr>
- <tr>
- <td>carbon.kettle.home</td>
- <td>Path that will be used by CarbonData internally to create graph for loading the data.
- </td>
- <td><code>"<YOUR_SPARK_HOME_PATH>"/carbonlib/carbonplugins</code></td>
- </tr>
- </tbody>
-</table>
-<ul>
- <li>Add the following properties in <code><SPARK_HOME>/conf/ carbon.properties</code>:
- </li>
-</ul>
-<table class="table table-striped table-bordered">
- <thead>
- <tr>
- <th>Property</th>
- <th>Required</th>
- <th>Description</th>
- <th>Example</th>
- <th>Default Value</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>carbon.storelocation</td>
- <td>NO</td>
- <td>Location where CarbonData will create the store and write the data in its own format.
- </td>
- <td>hdfs://HOSTNAME:PORT/Opt/CarbonStore</td>
- <td>Propose to set HDFS directory</td>
- </tr>
- <tr>
- <td>carbon.kettle.home</td>
- <td>YES</td>
- <td>Path that will be used by CarbonData internally to create graph for loading the data.
- </td>
- <td>$SPARK_HOME/carbonlib/carbonplugins</td>
- <td></td>
- </tr>
- </tbody>
-</table>
-<ul>
- <li>Verify the installation.</li>
-</ul><p><code>
- ./bin/spark-shell --master yarn-client --driver-memory 1g
- --executor-cores 2 --executor-memory 2G
-</code> NOTE: Make sure you have permissions for CarbonData JARs and files through which driver and
- executor will start.</p><p>Getting started with CarbonData :<a
- href="mainpage.html?page=quickStart">Quick Start</a> , <a href="mainpage.html?page=ddl">DDL Operations on CarbonData</a></p>
-
-<h2 id="query-execution">
- Query Execution Using CarbonData Thrift Server</h2><h3>Starting CarbonData Thrift Server</h3><p>
- a. cd <code><SPARK_HOME></code></p><p>b. Run the following command to start the CarbonData
- thrift server.</p><p><code>
- ./bin/spark-submit --conf spark.sql.hive.thriftServer.singleSession=true
- --class org.apache.carbondata.spark.thriftserver.CarbonThriftServer
- $SPARK_HOME/carbonlib/$CARBON_ASSEMBLY_JAR <carbon_store_path>
-</code></p>
-<table class="table table-striped table-bordered">
- <thead>
- <tr>
- <th>Parameter</th>
- <th>Description</th>
- <th>Example</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>CARBON_ASSEMBLY_JAR</td>
- <td>CarbonData assembly jar name present in the <code>"<SPARK_HOME>"/carbonlib/</code>
- folder.
- </td>
- <td>carbondata_2.10-0.1.0-incubating-SNAPSHOT-shade-hadoop2.7.2.jar</td>
- </tr>
- <tr>
- <td>carbon_store_path</td>
- <td>This is a parameter to the CarbonThriftServer class. This a HDFS path where CarbonData
- files will be kept. Strongly Recommended to put same as carbon.storelocation parameter
- of carbon.properties.
- </td>
- <td><code>hdfs//<host_name>:54310/user/hive/warehouse/carbon.store</code></td>
- </tr>
- </tbody>
-</table><h3>Examples</h3>
-<ul>
- <li>Start with default memory and executors</li>
-</ul><p><pre><code>
- ./bin/spark-submit --conf spark.sql.hive.thriftServer.singleSession=true
- --class org.apache.carbondata.spark.thriftserver.CarbonThriftServer
- $SPARK_HOME/carbonlib
- /carbondata_2.10-0.1.0-incubating-SNAPSHOT-shade-hadoop2.7.2.jar
- hdfs://hacluster/user/hive/warehouse/carbon.store
-</code></pre></p>
-<ul>
- <li>Start with Fixed executors and resources</li>
-</ul><p><pre><code>
- ./bin/spark-submit --conf spark.sql.hive.thriftServer.singleSession=true
- --class org.apache.carbondata.spark.thriftserver.CarbonThriftServer
- --num-executors 3 --driver-memory 20g --executor-memory 250g
- --executor-cores 32
- /srv/OSCON/BigData/HACluster/install/spark/sparkJdbc/lib
- /carbondata_2.10-0.1.0-incubating-SNAPSHOT-shade-hadoop2.7.2.jar
- hdfs://hacluster/user/hive/warehouse/carbon.store
-</code></pre></p><h3>Connecting to CarbonData Thrift Server Using Beeline</h3>
-<p>
-<pre><code>
- cd SPARK_HOME
- ./bin/beeline jdbc:hive2://thriftserver_host:port
-
- Example:
- ./bin/beeline jdbc:hive2://10.10.10.10:10000
-</code></pre>
-</p>
http://git-wip-us.apache.org/repos/asf/incubator-carbondata-site/blob/4f8753c1/src/main/webapp/docs/latest/mainpage.html
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-<!DOCTYPE html>
-<html lang="en">
- <head>
- <meta charset="utf-8">
- <meta http-equiv="X-UA-Compatible" content="IE=edge">
- <meta name="viewport" content="width=device-width, initial-scale=1">
- <link href='../../images/favicon.ico' rel='shortcut icon' type='image/x-icon'>
- <!-- The above 3 meta tags *must* come first in the head; any other head content must come *after* these tags -->
- <title>CarbonData</title>
-<style>
-
-</style>
- <!-- Bootstrap -->
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- </button>
- <a href="../../index.html" class="logo">
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- <div class="navbar-collapse collapse cd_navcontnt" id="navbar">
- <ul class="nav navbar-nav navbar-right navlist-custom">
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- <li class="dropdown">
- <a href="#" class="dropdown-toggle " data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="false"> Download <span class="caret"></span></a>
- <ul class="dropdown-menu">
- <li>
- <a href="https://www.apache.org/dyn/closer.lua/incubator/carbondata/1.0.0-incubating"
- target="_blank">Apache CarbonData 1.0.0</a></li>
- <li>
- <a href="https://www.apache.org/dyn/closer.lua/incubator/carbondata/0.2.0-incubating"
- target="_blank">Apache CarbonData 0.2.0</a></li>
- <li>
- <a href="https://www.apache.org/dyn/closer.lua/incubator/carbondata/0.1.1-incubating"
- target="_blank">Apache CarbonData 0.1.1</a></li>
- <li>
- <a href="https://www.apache.org/dyn/closer.lua/incubator/carbondata/0.1.0-incubating"
- target="_blank">Apache CarbonData 0.1.0</a></li>
- <li>
- <a href="https://cwiki.apache.org/confluence/display/CARBONDATA/Releases"
- target="_blank">Release Archive</a></li>
- </ul>
- </li>
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- <li><a href="https://github.com/apache/incubator-carbondata/blob/master/docs/How-to-contribute-to-Apache-CarbonData.md"
- target="_blank">Contributing to CarbonData</a></li></li>
- <li><a href="https://cwiki.apache.org/confluence/display/CARBONDATA/Committers" target="_blank">Project Committers</a></li>
- <li><a href="https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=66850609" target="_blank">CarbonData Meetups </a></li>
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- </ul>
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http://git-wip-us.apache.org/repos/asf/incubator-carbondata-site/blob/4f8753c1/src/main/webapp/docs/latest/overview-of-carbondata.html
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- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- KIND, either express or implied. See the License for the
- specific language governing permissions and limitations
- under the License.
--->
-<h1>Overview</h1><p>This tutorial provides a detailed overview about :</p>
-<ul>
- <li><a href="#introduction">Introduction</a></li>
- <li><a href="#features">Features</a></li>
-</ul>
-
-<div id="introduction"></div>
-<h2>Introduction</h2><p>CarbonData is a fully indexed columnar and Hadoop native data-store for processing heavy analytical workloads and detailed queries on big data. CarbonData allows faster interactive query using advanced columnar storage, index, compression and encoding techniques to improve computing efficiency, which helps in speeding up queries by an order of magnitude faster over PetaBytes of data.</p><p>In customer benchmarks, CarbonData has proven to manage Petabyte of data running on extraordinarily low-cost hardware and answers queries around 10 times faster than the current open source solutions (column-oriented SQL on Hadoop data-stores).</p><p>Some of the salient features of CarbonData are :</p>
-<ul>
- <li>Low-Latency for various types of data access patterns like Sequential, Random and OLAP.</li>
- <li>Fast query on fast data.</li>
- <li>Space efficiency.</li>
- <li>General format available on Hadoop-ecosystem.</li>
-</ul>
-
-<div id="features"></div>
-<h2>Features</h2><p>CarbonData file format is a columnar store in HDFS. It has many features that a modern columnar format has, such as splittable, compression schema, complex data type etc and CarbonData has following unique features:</p>
-<ul>
- <li><p>Unique Data Organization: Though CarbonData stores data in Columnar format, it differs from traditional Columnar formats as the columns in each row-group(Data Block) is sorted independent of the other columns. Though this arrangement requires CarbonData to store the row-number mapping against each column value, it makes it possible to use binary search for faster filtering and since the values are sorted, same/similar values come together which yields better compression and offsets the storage overhead required by the row number mapping.</p></li>
- <li><p>Advanced Push Down Optimizations: CarbonData pushes as much of query processing as possible close to the data to minimize the amount of data being read, processed, converted and transmitted/shuffled. Using projections and filters it reads only the required columns form the store and also reads only the rows that match the filter conditions provided in the query.</p></li>
- <li><p>Multi Level Indexing: CarbonData uses multiple indices at various levels to enable faster search and speed up query processing.</p></li>
- <li><p>Dictionary Encoding: Most databases and big data SQL data stores employ columnar encoding to achieve data compression by storing small integers numbers (surrogate value) instead of full string values. However, almost all existing databases and data stores divide the data into row groups containing anywhere from few thousand to a million rows and employ dictionary encoding only within each row group. Hence, the same column value can have different surrogate values in different row groups. So, while reading the data, conversion from surrogate value to actual value needs to be done immediately after the data is read from the disk. But CarbonData employs global surrogate key which means that a common dictionary is maintained for the full store on one machine/node. So CarbonData can perform all the query processing work such as grouping/aggregation, sorting etc on light weight surrogate values. The conversion from surrogate to actual values needs to be done only on the final res
ult. This procedure improves performance on two aspects. Conversion from surrogate values to actual values is done only for the final result rows which are much less than the actual rows read from the store. All query processing and computation such as grouping/aggregation, sorting, and so on is done on lightweight surrogate values which requires less memory and CPU time compared to actual values.</p></li>
- <li><p>Deep Spark Integration: It has built-in spark integration for Spark 1.6.2, 2.1 and interfaces for Spark SQL, DataFrame API and query optimization. It supports bulk data ingestion and allows saving of spark dataframes as CarbonData files.</p></li>
- <li><p>Update Delete Support: It supports batch updates like daily update scenarios for OLAP and Base+Delta file based design.</p></li>
- <li><p>Bucketing : It is a technique that is used for uniform distribution of data across files in CarbonData. It enhances the performance of join queries. While loading the data, records are placed into buckets based on hashing algorithm. During the execution of join queries the records can be fetched from buckets with out need of shuffling.This feature is used to distribute/organize the table/partition data into multiple files placing similar records in same file.</p></li>
- <li><p>Global Multi Dimensional Keys(MDK) based B+Tree Index for all non- measure columns: Aids in quickly locating the row groups(Data Blocks) that contain the data matching search/filter criteria.</p></li>
- <li><p>Min-Max Index for all columns: Aids in quickly locating the row groups(Data Blocks) that contain the data matching search/filter criteria.</p></li>
- <li><p>Data Block level Inverted Index for all columns: Aids in quickly locating the rows that contain the data matching search/filter criteria within a row group(Data Blocks).</p></li>
- <li><p>Store data along with index: Significantly accelerates query performance and reduces the I/O scans and CPU resources, when there are filters in the query. CarbonData index consists of multiple levels of indices. A processing framework can leverage this index to reduce the task it needs to schedule and process. It can also do skip scan in more finer grain units (called blocklet) in task side scanning instead of scanning the whole file.</p></li>
- <li><p>Operable encoded data: It supports efficient compression and global encoding schemes and can query on compressed/encoded data. The data can be converted just before returning the results to the users, which is "late materialized".</p></li>
- <li><p>Column group: Allows multiple columns to form a column group that would be stored as row format. This reduces the row reconstruction cost at query time.</p></li>
- <li><p>Support for various use cases with one single Data format: Examples are interactive OLAP-style query, Sequential Access (big scan) and Random Access (narrow scan).</p></li>
-</ul>
http://git-wip-us.apache.org/repos/asf/incubator-carbondata-site/blob/4f8753c1/src/main/webapp/docs/latest/quick-start-guide.html
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-<!--
- Licensed to the Apache Software Foundation (ASF) under one
- or more contributor license agreements. See the NOTICE file
- distributed with this work for additional information
- regarding copyright ownership. The ASF licenses this file
- to you under the Apache License, Version 2.0 (the
- "License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing,
- software distributed under the License is distributed on an
- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- KIND, either express or implied. See the License for the
- specific language governing permissions and limitations
- under the License.
---><h1>Quick Start</h1><p>This tutorial provides a quick introduction to using CarbonData.</p><h2>
- Prerequisites</h2>
-<ul>
- <li><a href="https://github.com/apache/incubator-carbondata/blob/master/build" target="_blank">Installation and
- building CarbonData</a>.
- </li>
- <li>Create a sample.csv file using the following commands. The CSV file is required for loading
- data into CarbonData.
- </li>
-</ul><p><code>
- cd carbondata
- cat > sample.csv << EOF
- id,name,city,age
- 1,david,shenzhen,31
- 2,eason,shenzhen,27
- 3,jarry,wuhan,35
- EOF
-</code></p><h2>Interactive Analysis with Spark Shell Version 2.1</h2><p>Apache Spark Shell provides
- a simple way to learn the API, as well as a powerful tool to analyze data interactively. Please
- visit <a href="http://spark.apache.org/docs/latest/" target="_blank">Apache Spark Documentation</a> for more
- details on Spark shell.</p><h4>Basics</h4><p>Start Spark shell by running the following command
- in the Spark directory:</p><p><code>
- ./bin/spark-shell --jars <carbondata assembly jar path>
-</code></p><p>In this shell, SparkSession is readily available as 'spark' and Spark context is
- readily available as 'sc'.</p><p>In order to create a CarbonSession we will have to configure it
- explicitly in the following manner :</p>
-<ul>
- <li>Import the following :</li>
-</ul><p><code>
- import org.apache.spark.sql.SparkSession
- import org.apache.spark.sql.CarbonSession._
-</code></p>
-<ul>
- <li>Create a CarbonSession :</li>
-</ul>
-<pre><code>val carbon = SparkSession
- .builder()
- .config(sc.getConf)
- .getOrCreateCarbonSession("<hdfs store path>")
-</code></pre>
-<p>NOTE: By default metastore location is pointed to \u201c\u2026/carbon.metastore\u201d, user can provide own metastore location to CarbonSession like</p>
-<pre><code>`SparkSession.builder().config(sc.getConf).getOrCreateCarbonSession("<hdfs store path>", "<local metastore path>")`
-</code></pre>
-<h4>Executing Queries</h4><h5>Creating a Table</h5><p><code>
- scala>carbon.sql("CREATE TABLE IF NOT EXISTS test_table(id string, name string, city string, age Int) STORED BY 'carbondata'")
-</code></p><h5>Loading Data to a Table</h5><p><code>
- scala>carbon.sql("LOAD DATA INPATH 'sample.csv file path' INTO TABLE test_table")
-</code> NOTE:Please provide the real file path of sample.csv for the above script.</p><h6>Query Data
- from a Table</h6><p><code>scala>carbon.sql("SELECT * FROM test_table").show()</code></p><p><code>scala>carbon.sql("SELECT
- city, avg(age), sum(age) FROM test_table GROUP BY city").show()</code></p>
-<h2>Interactive Analysis with Spark Shell Version 1.6</h2>
-<h4>Basics</h4><p>Start Spark shell by running the following
- command in the Spark directory:</p><p><code>
- ./bin/spark-shell --jars <carbondata assembly jar path>
-</code></p><p>NOTE: In this shell, SparkContext is readily available as sc.</p>
-<ul>
- <li>In order to execute the Queries we need to import CarbonContext:</li>
-</ul><p><code>
- import org.apache.spark.sql.CarbonContext
-</code></p>
-<ul>
- <li>Create an instance of CarbonContext in the following manner :</li>
-</ul><p><code>
- val cc = new CarbonContext(sc)
-</code></p><p>NOTE: By default store location is pointed to "../carbon.store", user can provide own
- store location to CarbonContext like new CarbonContext(sc, storeLocation).</p><h4>Executing
- Queries</h4>
-<h5>Creating a Table</h5><p><code>
- scala>cc.sql("CREATE TABLE IF NOT EXISTS test_table (id string, name string, city
- string, age Int) STORED BY 'carbondata'")
-</code>
-</p>To see the table created :<p><code>
- scala>cc.sql("SHOW TABLES").show()
-</code></p><h5>Loading Data to a Table</h5><p><code>
- scala>cc.sql("LOAD DATA INPATH 'sample.csv file path' INTO TABLE test_table")
-</code><br/>
-<p>NOTE:Please provide the real file path of sample.csv for the above script.</p><h5>Query
- Data from a Table</h5><p><code>
- scala>cc.sql("SELECT * FROM test_table").show()
- scala>cc.sql("SELECT city, avg(age), sum(age) FROM test_table GROUP BY city").show()
-</code></p>
\ No newline at end of file
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-<h1>Data Types</h1><h4>CarbonData supports the following data types:</h4>
-<ul>
- Numeric Types
- <li>SMALLINT</li>
- <li>INT/INTEGER</li>
- <li>BIGINT</li>
- <li>DOUBLE</li>
- <li>DECIMAL</li>
-</ul>
-<ul>
- Date/Time Types
- <li>DATE</li>
- <li>TIMESTAMP</li>
-</ul>
-
-<ul>
- String Types
- <li>STRING</li>
-</ul>
-<ul>
- Complex Types
- <li>arrays: ARRAY<code><data_type></code></li>
- <li>structs: STRUCT<code><col_name : data_type COMMENT col_comment, ...></code></li>
-</ul>
-
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-<!--
- Licensed to the Apache Software Foundation (ASF) under one
- or more contributor license agreements. See the NOTICE file
- distributed with this work for additional information
- regarding copyright ownership. The ASF licenses this file
- to you under the Apache License, Version 2.0 (the
- "License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing,
- software distributed under the License is distributed on an
- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- KIND, either express or implied. See the License for the
- specific language governing permissions and limitations
- under the License.
---><h1>Troubleshooting</h1>
-<p>This tutorial is designed to provide troubleshooting for end users and developers
- who are building, deploying, and using CarbonData.</p>
-<h2 id="failed-to-load-thrift-libraries">Failed to load thrift libraries</h2>
-<p><strong>Symptom</strong></p>
-<p>Thrift throws following exception :</p>
-<pre><code>thrift: error while loading shared libraries:
-libthriftc.so.0: cannot open shared object file: No such file or directory
-</code></pre>
-<p><strong>Possible Cause</strong></p>
-<p>The complete path to the directory containing the libraries is not configured correctly.</p>
-<p><strong>Procedure</strong></p>
-<p>Follow the steps below to ensure loading of libraries appropriately :</p>
-<ol>
- <li>
- <p>For ubuntu you have to add a custom.conf file to /etc/ld.so.conf.d<br>
- For example,</p>
- <pre><code>sudo gedit /etc/ld.so.conf.d/randomLibs.conf
-</code></pre>
- <p>Inside this file you are supposed to configure the complete path to the directory that
- contains all the libraries that you wish to add to the system, let us say
- /home/ubuntu/localLibs</p>
- </li>
- <li>
- <p>To ensure your library location ,check for existence of <a href="http://libthrift.so">libthrift.so</a>
- </p>
- </li>
- <li>
- <p>Save and run the following command to update the system with this libs.</p>
- <pre><code>sudo ldconfig
-</code></pre>
- </li>
-</ol>
-Note : Remember to add only the path to the directory, not the full path for that file, all the libraries inside that path will be automatically indexed.
-<h2 id="failed-to-launch-the-spark-shell">Failed to launch the Spark Shell</h2>
-<p><strong>Symptom</strong></p>
-<p>The shell prompts the following error :</p>
-<pre><code>org.apache.spark.sql.CarbonContext$$anon$$apache$spark$sql$catalyst$analysis
-$OverrideCatalog$_setter_$org$apache$spark$sql$catalyst$analysis
-$OverrideCatalog$$overrides_$e
-</code></pre>
-<p><strong>Possible Cause</strong></p>
-<p>The Spark Version and the selected Spark Profile do not match.</p>
-<p><strong>Procedure</strong></p>
-<ol>
- <li>
- <p>Ensure your spark version and selected profile for spark are correct.</p>
- </li>
- <li>
- <p>Use the following command :</p>
- </li>
-</ol>
-<pre><code>
- "mvn -Pspark-2.1 -Dspark.version {yourSparkVersion} clean package"
-
-</code></pre>
-Note : Refrain from using "mvn clean package" without specifying the profile.
-<h2 id="failed-to-execute-load-query-on-cluster">Failed to execute load query on cluster.
-</h2>
-<p><strong>Symptom</strong></p>
-<p>Load query failed with the following exception:</p>
-<pre><code>Dictionary file is locked for updation.
-</code></pre>
-<p><strong>Possible Cause</strong></p>
-<p>The carbon.properties file is not identical in all the nodes of the cluster.</p>
-<p><strong>Procedure</strong></p>
-<p>Follow the steps to ensure the carbon.properties file is consistent across all the nodes:</p>
-<ol>
- <li>
- <p>Copy the carbon.properties file from the master node to all the other nodes in the
- cluster.<br>
- For example, you can use ssh to copy this file to all the nodes.</p>
- </li>
- <li>
- <p>For the changes to take effect, restart the Spark cluster.</p>
- </li>
-</ol>
-<h2 id="failed-to-execute-insert-query-on-cluster">Failed to execute insert query on
- cluster.</h2>
-<p><strong>Symptom</strong></p>
-<p>Load query failed with the following exception:</p>
-<pre><code>Dictionary file is locked for updation.
-</code></pre>
-<p><strong>Possible Cause</strong></p>
-<p>The carbon.properties file is not identical in all the nodes of the cluster.</p>
-<p><strong>Procedure</strong></p>
-<p>Follow the steps to ensure the carbon.properties file is consistent across all the nodes:</p>
-<ol>
- <li>
- <p>Copy the carbon.properties file from the master node to all the other nodes in the
- cluster.<br>
- For example, you can use scp to copy this file to all the nodes.</p>
- </li>
- <li>
- <p>For the changes to take effect, restart the Spark cluster.</p>
- </li>
-</ol>
-<h2 id="failed-to-connect-to-hiveuser-with-thrift">Failed to connect to hiveuser with
- thrift</h2>
-<p><strong>Symptom</strong></p>
-<p>We get the following exception :</p>
-<pre><code>Cannot connect to hiveuser.
-</code></pre>
-<p><strong>Possible Cause</strong></p>
-<p>The external process does not have permission to access.</p>
-<p><strong>Procedure</strong></p>
-<p>Ensure that the Hiveuser in mysql must allow its access to the external processes.</p>
-<h2 id="failure-to-read-the-metastore-db-during-table-creation">Failure to read the
- metastore db during table creation.</h2>
-<p><strong>Symptom</strong></p>
-<p>We get the following exception on trying to connect :</p>
-<pre><code>Cannot read the metastore db
-</code></pre>
-<p><strong>Possible Cause</strong></p>
-<p>The metastore db is dysfunctional.</p>
-<p><strong>Procedure</strong></p>
-<p>Remove the metastore db from the carbon.metastore in the Spark Directory.</p>
-<h2 id="failed-to-load-data-on-the-cluster">Failed to load data on the cluster</h2>
-<p><strong>Symptom</strong></p>
-<p>Data loading fails with the following exception :</p>
-<pre><code>Data Load failure exeception
-</code></pre>
-<p><strong>Possible Cause</strong></p>
-<p>The following issue can cause the failure :</p>
-<ol>
- <li>
- <p>The core-site.xml, hive-site.xml, yarn-site and carbon.properties are not consistent
- across all nodes of the cluster.</p>
- </li>
- <li>
- <p>Path to hdfs ddl is not configured correctly in the carbon.properties.</p>
- </li>
-</ol>
-<p><strong>Procedure</strong></p>
-<p>Follow the steps to ensure the following configuration files are consistent across all the
- nodes:</p>
-<ol>
- <li>
- <p>Copy the core-site.xml, hive-site.xml, yarn-site,carbon.properties files from the master
- node to all the other nodes in the cluster.<br>
- For example, you can use scp to copy this file to all the nodes.</p>
- <p>Note : Set the path to hdfs ddl in carbon.properties in the master node.</p>
- </li>
- <li>
- <p>For the changes to take effect, restart the Spark cluster.</p>
- </li>
-</ol>
-<h2 id="failed-to-insert-data-on-the-cluster">Failed to insert data on the cluster</h2>
-<p><strong>Symptom</strong></p>
-<p>Insertion fails with the following exception :</p>
-<pre><code>Data Load failure exeception
-</code></pre>
-<p><strong>Possible Cause</strong></p>
-<p>The following issue can cause the failure :</p>
-<ol>
- <li>
- <p>The core-site.xml, hive-site.xml, yarn-site and carbon.properties are not consistent
- across all nodes of the cluster.</p>
- </li>
- <li>
- <p>Path to hdfs ddl is not configured correctly in the carbon.properties.</p>
- </li>
-</ol>
-<p><strong>Procedure</strong></p>
-<p>Follow the steps to ensure the following configuration files are consistent across all the
- nodes:</p>
-<ol>
- <li>
- <p>Copy the core-site.xml, hive-site.xml, yarn-site,carbon.properties files from the master
- node to all the other nodes in the cluster.<br>
- For example, you can use scp to copy this file to all the nodes.</p>
- <p>Note : Set the path to hdfs ddl in carbon.properties in the master node.</p>
- </li>
- <li>
- <p>For the changes to take effect, restart the Spark cluster.</p>
- </li>
-</ol>
-<h2 id="failed-to-execute-concurrent-operations">Failed to execute Concurrent Operations.
-</h2>
-<p><strong>Symptom</strong></p>
-<p>Execution of Concurrent Operations (Load,Insert,Update) on table by multiple workers fails with
- the following exception :</p>
-<pre><code>Table is locked for updation.
-</code></pre>
-<p><strong>Possible Cause</strong></p>
-<p>Concurrency not supported.</p>
-<p><strong>Procedure</strong></p>
-<p>Worker must wait for the query execution to complete and the table to release the lock for
- another query execution to succeed\u2026</p>
-<h2 id="failed-to-create-a-table-with-a-single-numeric-column">Failed to create a table
- with a single numeric column.</h2>
-<p><strong>Symptom</strong></p>
-<p>Execution fails with the following exception :</p>
-<pre><code>Table creation fails.
-</code></pre>
-<p><strong>Possible Cause</strong></p>
-<p>Behavior not supported.</p>
-<p><strong>Procedure</strong></p>
-<p>A single column that can be considered as dimension is mandatory for table creation.</p>
-
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-<!--
- Licensed to the Apache Software Foundation (ASF) under one
- or more contributor license agreements. See the NOTICE file
- distributed with this work for additional information
- regarding copyright ownership. The ASF licenses this file
- to you under the Apache License, Version 2.0 (the
- "License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing,
- software distributed under the License is distributed on an
- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- KIND, either express or implied. See the License for the
- specific language governing permissions and limitations
- under the License.
---><h1>Useful Tips</h1><p>This tutorial guides you to create CarbonData Tables and optimize performance. The following sections will elaborate on the above topics :</p>
-<ul>
- <li><a href="#carbondata-table">Suggestions to create CarbonData Table</a></li>
- <li><a href="#carbondata-performance">Configurations For Optimizing CarbonData Performance</a></li>
-</ul><h2 id="carbondata-table">Suggestions to Create CarbonData Table</h2><p>Recently CarbonData was used to analyze performance of Telecommunication field. The results of the analysis for table creation with dimensions ranging from 10 thousand to 10 billion rows and 100 to 300 columns have been summarized below. </p><p>The following table describes some of the columns from the table used.</p><p><strong>Table Column Description</strong></p>
-<table class="table table-striped table-bordered">
- <thead>
- <tr>
- <th>Column Name </th>
- <th>Data Type </th>
- <th>Cardinality </th>
- <th>Attribution </th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>msisdn </td>
- <td>String </td>
- <td>30 million </td>
- <td>Dimension </td>
- </tr>
- <tr>
- <td>BEGIN_TIME </td>
- <td>BigInt </td>
- <td>10 Thousand </td>
- <td>Dimension </td>
- </tr>
- <tr>
- <td>HOST </td>
- <td>String </td>
- <td>1 million </td>
- <td>Dimension </td>
- </tr>
- <tr>
- <td>Dime_1 </td>
- <td>String </td>
- <td>1 Thousand </td>
- <td>Dimension </td>
- </tr>
- <tr>
- <td>counter_1 </td>
- <td>Numeric(20,0) </td>
- <td>NA </td>
- <td>Measure </td>
- </tr>
- <tr>
- <td>... </td>
- <td>... </td>
- <td>NA </td>
- <td>Measure </td>
- </tr>
- <tr>
- <td>counter_100 </td>
- <td>Numeric(20,0) </td>
- <td>NA </td>
- <td>Measure </td>
- </tr>
- </tbody>
-</table><p>CarbonData has more than 50 test cases, on the basis of these we have following suggestions to enhance the query performance :</p>
-<ul>
- <li><strong>Put the frequently-used column filter in the beginning</strong></li>
-</ul><p>For example, MSISDN filter is used in most of the query then we must put the MSISDN in the first column. The create table command can be modified as suggested below :</p><p><code>
- create table carbondata_table(
- msisdn String,
- ...
- )STORED BY 'org.apache.carbondata.format'
- TBLPROPERTIES ( 'DICTIONARY_EXCLUDE'='MSISDN,..',
- 'DICTIONARY_INCLUDE'='...');
-</code></p><p>Now the query with MSISDN in the filter will be more efficient.</p>
-<ul>
- <li><strong>Put the frequently-used columns in the order of low to high cardinality</strong></li>
-</ul><p>If the table in the specified query has multiple columns which are frequently used to filter the results, it is suggested to put the columns in the order of cardinality low to high. This ordering of frequently used columns improves the compression ratio and enhances the performance of queries with filter on these columns.</p><p>For example if MSISDN, HOST and Dime_1 are frequently-used columns, then the column order of table is suggested as Dime_1>HOST>MSISDN as Dime_1 has the lowest cardinality. The create table command can be modified as suggested below :</p><p><code>
- create table carbondata_table(
- Dime_1 String,
- HOST String,
- MSISDN String,
- ...
- )STORED BY 'org.apache.carbondata.format'
- TBLPROPERTIES ( 'DICTIONARY_EXCLUDE'='MSISDN,HOST..',
- 'DICTIONARY_INCLUDE'='Dime_1..');
-</code></p>
-<ul>
- <li><strong>Put the Dimension type columns in order of low to high cardinality</strong></li>
-</ul><p>If the columns used to filter are not frequently used, then it is suggested to order all the columns of dimension type in order of low to high cardinality. The create table command can be modified as below :</p><p><code>
- create table carbondata_table(
- Dime_1 String,
- BEGIN_TIME bigint
- HOST String,
- MSISDN String,
- ...
- )STORED BY 'org.apache.carbondata.format'
- TBLPROPERTIES ( 'DICTIONARY_EXCLUDE'='MSISDN,HOST,IMSI..',
- 'DICTIONARY_INCLUDE'='Dime_1,END_TIME,BEGIN_TIME..');
-</code></p>
-<ul>
- <li><strong>For measure type columns with non high accuracy, replace Numeric(20,0) data type with Double data type</strong></li>
-</ul><p>For columns of measure type, not requiring high accuracy, it is suggested to replace Numeric data type with Double to enhance query performance. The create table command can be modified as below :</p><p><code>
- create table carbondata_table(
- Dime_1 String,
- BEGIN_TIME bigint
- HOST String,
- MSISDN String,
- counter_1 double,
- counter_2 double,
- ...
- counter_100 double
- )STORED BY 'org.apache.carbondata.format'
- TBLPROPERTIES ( 'DICTIONARY_EXCLUDE'='MSISDN,HOST,IMSI',
- 'DICTIONARY_INCLUDE'='Dime_1,END_TIME,BEGIN_TIME');
-</code> The result of performance analysis of test-case shows reduction in query execution time from 15 to 3 seconds, thereby improving performance by nearly 5 times.</p>
-<ul>
- <li><strong>Columns of incremental character should be re-arranged at the end of dimensions</strong></li>
-</ul><p>Consider the following scenario where data is loaded each day and the start_time is incremental for each load, it is suggested to put start_time at the end of dimensions. </p><p>Incremental values are efficient in using min/max index. The create table command can be modified as below :</p><p><code>
- create table carbondata_table(
- Dime_1 String,
- HOST String,
- MSISDN String,
- counter_1 double,
- counter_2 double,
- BEGIN_TIME bigint,
- ...
- counter_100 double
- )STORED BY 'org.apache.carbondata.format'
- TBLPROPERTIES ( 'DICTIONARY_EXCLUDE'='MSISDN,HOST,IMSI',
- 'DICTIONARY_INCLUDE'='Dime_1,END_TIME,BEGIN_TIME');
-</code></p>
-<ul>
- <li><strong>Avoid adding high cardinality columns to dictionary</strong></li>
-</ul><p>If the system has low memory configuration, then it is suggested to exclude high cardinality columns from the dictionary to enhance load performance. Creation of dictionary for high cardinality columns at time of load will degrade load performance due to excessive memory usage. </p><p>By default CarbonData determines the cardinality at the first data load and allows for dictionary creation only if the cardinality is less than 1 million.</p>
-<h2 id="carbondata-performance">Configurations for Optimizing CarbonData Performance</h2><p>Recently we did some performance POC on CarbonData for Finance and telecommunication Field. It involved detailed queries and aggregation scenarios. After the completion of POC, some of the configurations impacting the performance have been identified and tabulated below :</p>
-<table class="table table-striped table-bordered">
- <thead>
- <tr>
- <th>Parameter </th>
- <th>Location </th>
- <th>Used For </th>
- <th>Description </th>
- <th>Tuning </th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>carbon.sort.intermediate.files.limit </td>
- <td>spark/carbonlib/carbon.properties </td>
- <td>Data loading </td>
- <td>During the loading of data, local temp is used to sort the data. This number specifies the minimum number of intermediate files after which the merge sort has to be initiated. </td>
- <td>Increasing the parameter to a higher value will improve the load performance. For example, when we increase the value from 20 to 100, it increases the data load performance from 35MB/S to more than 50MB/S. Higher values of this parameter consumes more memory during the load. </td>
- </tr>
- <tr>
- <td>carbon.number.of.cores.while.loading </td>
- <td>spark/carbonlib/carbon.properties </td>
- <td>Data loading </td>
- <td>Specifies the number of cores used for data processing during data loading in CarbonData. </td>
- <td>If you have more number of CPUs, then you can increase the number of CPUs, which will increase the performance. For example if we increase the value from 2 to 4 then the CSV reading performance can increase about 1 times </td>
- </tr>
- <tr>
- <td>carbon.compaction.level.threshold </td>
- <td>spark/carbonlib/carbon.properties </td>
- <td>Data loading and Querying </td>
- <td>For minor compaction, specifies the number of segments to be merged in stage 1 and number of compacted segments to be merged in stage 2. </td>
- <td>Each CarbonData load will create one segment, if every load is small in size it will generate many small file over a period of time impacting the query performance. Configuring this parameter will merge the small segment to one big segment which will sort the data and improve the performance. For Example in one telecommunication scenario, the performance improves about 2 times after minor compaction. </td>
- </tr>
- <tr>
- <td>spark.sql.shuffle.partitions </td>
- <td>spark/con/spark-defaults.conf </td>
- <td>Querying </td>
- <td>The number of task started when spark shuffle. </td>
- <td>The value can be 1 to 2 times as much as the executor cores. In an aggregation scenario, reducing the number from 200 to 32 reduced the query time from 17 to 9 seconds. </td>
- </tr>
- <tr>
- <td>num-executors/executor-cores/executor-memory </td>
- <td>spark/con/spark-defaults.conf </td>
- <td>Querying </td>
- <td>The number of executors, CPU cores, and memory used for CarbonData query. </td>
- <td>In the bank scenario, we provide the 4 CPUs cores and 15 GB for each executor which can get good performance. This 2 value does not mean more the better. It needs to be configured properly in case of limited resources. For example, In the bank scenario, it has enough CPU 32 cores each node but less memory 64 GB each node. So we cannot give more CPU but less memory. For example, when 4 cores and 12GB for each executor. It sometimes happens GC during the query which impact the query performance very much from the 3 second to more than 15 seconds. In this scenario need to increase the memory or decrease the CPU cores. </td>
- </tr>
- <tr>
- <td>carbon.detail.batch.size </td>
- <td>spark/carbonlib/carbon.properties </td>
- <td>Data loading </td>
- <td>The buffer size to store records, returned from the block scan. </td>
- <td>In limit scenario this parameter is very important. For example your query limit is 1000. But if we set this value to 3000 that means we get 3000 records from scan but spark will only take 1000 rows. So the 2000 remaining are useless. In one Finance test case after we set it to 100, in the limit 1000 scenario the performance increase about 2 times in comparison to if we set this value to 12000. </td>
- </tr>
- <tr>
- <td>carbon.use.local.dir </td>
- <td>spark/carbonlib/carbon.properties </td>
- <td>Data loading </td>
- <td>Whether use YARN local directories for multi-table load disk load balance </td>
- <td>If this is set it to true CarbonData will use YARN local directories for multi-table load disk load balance, that will improve the data load performance. </td>
- </tr>
- </tbody>
-</table>
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-<!--
- Licensed to the Apache Software Foundation (ASF) under one
- or more contributor license agreements. See the NOTICE file
- distributed with this work for additional information
- regarding copyright ownership. The ASF licenses this file
- to you under the Apache License, Version 2.0 (the
- "License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License atin
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing,
- software distributed under the License is distributed on an
- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- KIND, either express or implied. See the License for the
- specific language governing permissions and limitations
- under the License.
---><h1>User Guide</h1><p>Welcome to Apache CarbonData. Apache CarbonData(incubating) is a new big data file format for faster interactive query using advanced columnar storage, index, compression and encoding techniques to improve computing efficiency, which helps in speeding up queries by an order of magnitude faster over PetaBytes of data. This user guide provides a detailed description about the CarbonData and its features.</p><p>Let's get started !</p>
-<ul>
- <li><a href="quick-start-guide.html">Quick Start</a></li>
- <li><a href="overview-of-carbondata.html">Overview</a>
- <ul>
- <li><a href="overview-of-carbondata.html">Introduction</a></li>
- <li><a href="overview-of-carbondata.html">Features</a></li>
- <li><a href="supported-data-types-in-carbondata.html">Data Types</a></li>
- <li><a href="file-structure-of-carbondata.html">CarbonData File Structure</a></li>
- </ul></li>
- <li><a href="installation-guide.html">Installation Guide</a>
- <ul>
- <li><a href="installation-guide.html">Installing and Configuring CarbonData on Standalone Spark Cluster</a></li>
- <li><a href="installation-guide.html">Installing and Configuring CarbonData on "Spark on YARN Cluster</a></li>
- </ul></li>
- <li><a href="configuration-parameters.html">Configuring CarbonData</a>
- <ul>
- <li><a href="configuration-parameters.html">System Configuration</a></li>
- <li><a href="configuration-parameters.html">Performance Configuration</a></li>
- <li><a href="configuration-parameters.html">Miscellaneous Configuration</a></li>
- <li><a href="configuration-parameters.html">Spark Configuration</a></li>
- </ul></li>
- <li><a href="using-carbondata.html">Using CarbonData</a>
- <ul>
- <li><a href="data-management.html">Data Management</a></li>
- <li><a href="ddl-operation-on-carbondata.html">DDL Operations on CarbonData</a></li>
- <li><a href="dml-operation-on-carbondata.html">DML Operations on CarbonData</a></li>
- </ul></li>
- <li><a href="useful-tips-on-carbondata.html">Useful Tips</a> </li>
- <li><a href="troubleshooting.html">Troubleshooting</a> </li>
- <li><a href="faq.html">FAQs</a> </li>
-
-</ul>
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-<!--
- Licensed to the Apache Software Foundation (ASF) under one
- or more contributor license agreements. See the NOTICE file
- distributed with this work for additional information
- regarding copyright ownership. The ASF licenses this file
- to you under the Apache License, Version 2.0 (the
- "License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing,
- software distributed under the License is distributed on an
- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- KIND, either express or implied. See the License for the
- specific language governing permissions and limitations
- under the License.
--->
-<script src="../../js/mdNavigation.js" type="text/javascript"></script>
-<h1>Using CarbonData</h1><p>This tutorial discusses the disciplines related to management of data in Apache CarbonData. Following below each section is a brief introduction to respective disciplines related to data management.</p><h2>Data Management</h2><p>This section shall be dealing with the disciplines related to managing data in the application, focusing on conceptual details related to operations like load data, delete data, update data and Compacting Data.</p><p>For complete details refer to Data Management</p><h2>Data Definition Language Support</h2><p>This section deals with the aspects related to creation and modification of the structure of database. It shall discuss in detail about</p>
-<ul>
- <li>Table creation</li>
- <li>Table deletion</li>
- <li>Table description</li>
- <li>Compaction</li>
-</ul><p>For complete details refer to <a href="ddl-operation-on-carbondata.html">DDL Operations on CarbonData</a></p><h2>Data Manipulation Language Support</h2><p>This section deals with the aspects related to data manipulation in database. It shall discuss in detail about selecting, loading and deleting in a database. This manipulation comprises of</p>
-<ul>
- <li>Loading data into database tables</li>
- <li>Retrieving existing data</li>
- <li>Deleting data from existing tables</li>
- <li>Deleting segments from existing tables</li>
- <li>Updating data in existing tables</li>
-</ul><p>For complete details refer to <a href="dml-operation-on-carbondata.html">DML Operations on CarbonData</a></p>
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+<!DOCTYPE html>
+<html lang="en">
+<head>
+ <meta charset="utf-8">
+ <meta http-equiv="X-UA-Compatible" content="IE=edge">
+ <meta name="viewport" content="width=device-width, initial-scale=1">
+ <link href='images/favicon.ico' rel='shortcut icon' type='image/x-icon'>
+ <!-- The above 3 meta tags *must* come first in the head; any other head content must come *after* these tags -->
+ <title>CarbonData</title>
+ <style>
+
+ </style>
+ <!-- Bootstrap -->
+
+ <link rel="stylesheet" href="css/bootstrap.min.css">
+ <link href="css/style.css" rel="stylesheet">
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+ <![endif]-->
+ <script src="js/jquery.min.js"></script>
+ <script src="js/bootstrap.min.js"></script>
+
+
+</head>
+<body>
+<header>
+ <nav class="navbar navbar-default navbar-custom cd-navbar-wrapper">
+ <div class="container">
+ <div class="navbar-header">
+ <button aria-controls="navbar" aria-expanded="false" data-target="#navbar" data-toggle="collapse"
+ class="navbar-toggle collapsed" type="button">
+ <span class="sr-only">Toggle navigation</span>
+ <span class="icon-bar"></span>
+ <span class="icon-bar"></span>
+ <span class="icon-bar"></span>
+ </button>
+ <a href="index.html" class="logo">
+ <img src="images/CarbonDataLogo.png" alt="CarbonData logo" title="CarbocnData logo"/>
+ </a>
+ </div>
+ <div class="navbar-collapse collapse cd_navcontnt" id="navbar">
+ <ul class="nav navbar-nav navbar-right navlist-custom">
+ <li><a href="index.html" class="hidden-xs"><i class="fa fa-home" aria-hidden="true"></i> </a>
+ </li>
+ <li><a href="index.html" class="hidden-lg hidden-md hidden-sm">Home</a></li>
+ <li class="dropdown">
+ <a href="#" class="dropdown-toggle " data-toggle="dropdown" role="button" aria-haspopup="true"
+ aria-expanded="false"> Download <span class="caret"></span></a>
+ <ul class="dropdown-menu">
+ <li>
+ <a href="https://www.apache.org/dyn/closer.lua/incubator/carbondata/1.0.0-incubating"
+ target="_blank">Apache CarbonData 1.0.0</a></li>
+ <li>
+ <a href="https://www.apache.org/dyn/closer.lua/incubator/carbondata/0.2.0-incubating"
+ target="_blank">Apache CarbonData 0.2.0</a></li>
+ <li>
+ <a href="https://www.apache.org/dyn/closer.lua/incubator/carbondata/0.1.1-incubating"
+ target="_blank">Apache CarbonData 0.1.1</a></li>
+ <li>
+ <a href="https://www.apache.org/dyn/closer.lua/incubator/carbondata/0.1.0-incubating"
+ target="_blank">Apache CarbonData 0.1.0</a></li>
+ <li>
+ <a href="https://cwiki.apache.org/confluence/display/CARBONDATA/Releases"
+ target="_blank">Release Archive</a></li>
+ </ul>
+ </li>
+ <li><a href="mainpage.html" class="">Documentation</a></li>
+ <li class="dropdown">
+ <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true"
+ aria-expanded="false">Community <span class="caret"></span></a>
+ <ul class="dropdown-menu">
+ <li>
+ <a href="https://github.com/apache/incubator-carbondata/blob/master/docs/How-to-contribute-to-Apache-CarbonData.md"
+ target="_blank">Contributing to CarbonData</a></li>
+ <li>
+ <a href="https://cwiki.apache.org/confluence/display/CARBONDATA/PPMC+and+Committers+member+list"
+ target="_blank">Project PPMC and Committers</a></li>
+ <li>
+ <a href="https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=66850609"
+ target="_blank">CarbonData Meetups</a></li>
+ <li><a href="../../security.html">Apache CarbonData Security</a></li>
+ <li><a href="https://issues.apache.org/jira/browse/CARBONDATA" target="_blank">Apache
+ Jira</a></li>
+ </ul>
+ </li>
+ <li class="dropdown">
+ <a href="http://www.apache.org/" class="apache_link hidden-xs dropdown-toggle"
+ data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="false">Apache</a>
+ <ul class="dropdown-menu">
+ <li><a href="http://www.apache.org/" target="_blank">Apache Homepage</a></li>
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+ target="_blank">Sponsorship</a></li>
+ <li><a href="http://www.apache.org/foundation/thanks.html" target="_blank">Thanks</a></li>
+ </ul>
+ </li>
+
+ <li class="dropdown">
+ <a href="http://www.apache.org/" class="hidden-lg hidden-md hidden-sm dropdown-toggle"
+ data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="false">Apache</a>
+ <ul class="dropdown-menu">
+ <li><a href="http://www.apache.org/" target="_blank">Apache Homepage</a></li>
+ <li><a href="http://www.apache.org/licenses/" target="_blank">License</a></li>
+ <li><a href="http://www.apache.org/foundation/sponsorship.html"
+ target="_blank">Sponsorship</a></li>
+ <li><a href="http://www.apache.org/foundation/thanks.html" target="_blank">Thanks</a></li>
+ </ul>
+ </li>
+
+ <li>
+ <a href="#" id="search-icon"><i class="fa fa-search" aria-hidden="true"></i></a>
+
+ </li>
+
+ </ul>
+ </div><!--/.nav-collapse -->
+ <div id="search-box">
+ <form method="get" action="http://www.google.com/search">
+ <div class="search-block">
+ <table border="0" cellpadding="0" width="100%">
+ <tr>
+ <td style="width:80%">
+ <input type="text" name="q" size=" 5" maxlength="255" value=""
+ class="search-input"/>
+ </td>
+ <td style="width:20%">
+ <input type="submit" value="Search"/></td>
+ </tr>
+ <tr>
+ <td align="left" style="font-size:75%" colspan="2">
+ <input type="checkbox" name="sitesearch" value="carbondata.apache.org" checked/>
+ Only search for CarbonData
+ </td>
+ </tr>
+ </table>
+ </div>
+ </form>
+ </div>
+ </div>
+ </nav>
+</header> <!-- end Header part -->
+
+<div class="fixed-padding"></div> <!-- top padding with fixde header -->
+
+<section><!-- Dashboard nav -->
+ <div class="container-fluid q">
+ <div class="col-sm-12 col-md-12 maindashboard">
+ <div class="row">
+ <section>
+ <div style="padding:10px 15px;">
+ <div id="viewpage" name="viewpage">
+ <div class="row">
+ <div class="col-sm-12 col-md-12">
+ <div>
+
+<h1>
+<a id="faqs" class="anchor" href="#faqs" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>FAQs</h1>
+
+<ul>
+<li><a href="#what-are-bad-records">What are Bad Records?</a></li>
+<li><a href="#where-are-bad-records-stored-in-carbondata">Where are Bad Records Stored in CarbonData?</a></li>
+<li><a href="#how-to-enable-bad-record-logging">How to enable Bad Record Logging?</a></li>
+<li><a href="#how-to-ignore-the-bad-records">How to ignore the Bad Records?</a></li>
+<li><a href="#how-to-specify-store-location-while-creating-carbon-session">How to specify store location while creating carbon session?</a></li>
+<li><a href="#what-is-carbon-lock-type">What is Carbon Lock Type?</a></li>
+<li><a href="#how-to-resolve-abstract-method-error">How to resolve Abstract Method Error?</a></li>
+</ul>
+
+<h2>
+<a id="what-are-bad-records" class="anchor" href="#what-are-bad-records" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>What are Bad Records?</h2>
+
+<p>Records that fail to get loaded into the CarbonData due to data type incompatibility or are empty or have incompatible format are classified as Bad Records.</p>
+
+<h2>
+<a id="where-are-bad-records-stored-in-carbondata" class="anchor" href="#where-are-bad-records-stored-in-carbondata" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Where are Bad Records Stored in CarbonData?</h2>
+
+<p>The bad records are stored at the location set in carbon.badRecords.location in carbon.properties file.
+By default <strong>carbon.badRecords.location</strong> specifies the following location <code>/opt/Carbon/Spark/badrecords</code>.</p>
+
+<h2>
+<a id="how-to-enable-bad-record-logging" class="anchor" href="#how-to-enable-bad-record-logging" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>How to enable Bad Record Logging?</h2>
+
+<p>While loading data we can specify the approach to handle Bad Records. In order to analyse the cause of the Bad Records the parameter <code>BAD_RECORDS_LOGGER_ENABLE</code> must be set to value <code>TRUE</code>. There are multiple approaches to handle Bad Records which can be specified by the parameter <code>BAD_RECORDS_ACTION</code>.</p>
+
+<ul>
+<li>To pad the incorrect values of the csv rows with NULL value and load the data in CarbonData, set the following in the query :</li>
+</ul>
+
+<pre><code>'BAD_RECORDS_ACTION'='FORCE'
+</code></pre>
+
+<ul>
+<li>To write the Bad Records without padding incorrect values with NULL in the raw csv (set in the parameter <strong>carbon.badRecords.location</strong>), set the following in the query :</li>
+</ul>
+
+<pre><code>'BAD_RECORDS_ACTION'='REDIRECT'
+</code></pre>
+
+<h2>
+<a id="how-to-ignore-the-bad-records" class="anchor" href="#how-to-ignore-the-bad-records" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>How to ignore the Bad Records?</h2>
+
+<p>To ignore the Bad Records from getting stored in the raw csv, we need to set the following in the query :</p>
+
+<pre><code>'BAD_RECORDS_ACTION'='IGNORE'
+</code></pre>
+
+<h2>
+<a id="how-to-specify-store-location-while-creating-carbon-session" class="anchor" href="#how-to-specify-store-location-while-creating-carbon-session" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>How to specify store location while creating carbon session?</h2>
+
+<p>The store location specified while creating carbon session is used by the CarbonData to store the meta data like the schema, dictionary files, dictionary meta data and sort indexes.</p>
+
+<p>Try creating <code>carbonsession</code> with <code>storepath</code> specified in the following manner :</p>
+
+<pre><code>val carbon = SparkSession.builder().config(sc.getConf).getOrCreateCarbonSession(<store_path>)
+</code></pre>
+
+<p>Example:</p>
+
+<pre><code>val carbon = SparkSession.builder().config(sc.getConf).getOrCreateCarbonSession("hdfs://localhost:9000/carbon/store ")
+</code></pre>
+
+<h2>
+<a id="what-is-carbon-lock-type" class="anchor" href="#what-is-carbon-lock-type" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>What is Carbon Lock Type?</h2>
+
+<p>The Apache CarbonData acquires lock on the files to prevent concurrent operation from modifying the same files. The lock can be of the following types depending on the storage location, for HDFS we specify it to be of type HDFSLOCK. By default it is set to type LOCALLOCK.
+The property carbon.lock.type configuration specifies the type of lock to be acquired during concurrent operations on table. This property can be set with the following values :</p>
+
+<ul>
+<li>
+<strong>LOCALLOCK</strong> : This Lock is created on local file system as file. This lock is useful when only one spark driver (thrift server) runs on a machine and no other CarbonData spark application is launched concurrently.</li>
+<li>
+<strong>HDFSLOCK</strong> : This Lock is created on HDFS file system as file. This lock is useful when multiple CarbonData spark applications are launched and no ZooKeeper is running on cluster and the HDFS supports, file based locking.</li>
+</ul>
+
+<h2>
+<a id="how-to-resolve-abstract-method-error" class="anchor" href="#how-to-resolve-abstract-method-error" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>How to resolve Abstract Method Error?</h2>
+
+<p>In order to build CarbonData project it is necessary to specify the spark profile. The spark profile sets the Spark Version. You need to specify the <code>spark version</code> while using Maven to build project.</p>
+</div>
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