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Posted to commits@kylin.apache.org by li...@apache.org on 2018/07/02 06:08:51 UTC

svn commit: r1834820 [22/48] - in /kylin/site: ./ about/ blog/ blog/2015/01/25/introduce-data-model/ blog/2015/06/10/release-v0.7.1-incubating/ blog/2015/08/13/kylin-dictionary/ blog/2015/08/15/fast-cubing/ blog/2015/09/06/release-v1.0-incubating/ blog...

Added: kylin/site/cn/docs23/tutorial/setup_systemcube.html
URL: http://svn.apache.org/viewvc/kylin/site/cn/docs23/tutorial/setup_systemcube.html?rev=1834820&view=auto
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--- kylin/site/cn/docs23/tutorial/setup_systemcube.html (added)
+++ kylin/site/cn/docs23/tutorial/setup_systemcube.html Mon Jul  2 06:08:48 2018
@@ -0,0 +1,4890 @@
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+							<h1 class="post-title">建立系统 Cube</h1>
+							<article class="post-content" >
+							<blockquote>
+  <p>自 Apache Kylin v2.3.0 起有效</p>
+</blockquote>
+
+<h2 id="cube">什么是系统 Cube</h2>
+
+<p>为了更好的支持自我监控,在系统 project 下创建一组系统 Cubes,叫做 “KYLIN_SYSTEM”。现在,这里有五个 Cubes。三个用于查询指标,”METRICS_QUERY”,”METRICS_QUERY_CUBE”,”METRICS_QUERY_RPC”。另外两个是 job 指标,”METRICS_JOB”,”METRICS_JOB_EXCEPTION”。</p>
+
+<h2 id="cube-1">如何建立系统 Cube</h2>
+
+<h3 id="section">准备</h3>
+<p>在 KYLIN_HOME 目录下创建一个配置文件 SCSinkTools.json。</p>
+
+<p>例如:</p>
+
+<div class="highlighter-rouge"><pre class="highlight"><code>[
+  [
+    "org.apache.kylin.tool.metrics.systemcube.util.HiveSinkTool",
+    {
+      "storage_type": 2,
+      "cube_desc_override_properties": [
+        "java.util.HashMap",
+        {
+          "kylin.cube.algorithm": "INMEM",
+          "kylin.cube.max-building-segments": "1"
+        }
+      ]
+    }
+  ]
+]
+</code></pre>
+</div>
+
+<h3 id="metadata">1. 生成 Metadata</h3>
+<p>在 KYLIN_HOME 文件夹下运行一下命令生成相关的 metadata:</p>
+
+<div class="highlighter-rouge"><pre class="highlight"><code>./bin/kylin.sh org.apache.kylin.tool.metrics.systemcube.SCCreator \
+-inputConfig SCSinkTools.json \
+-output &lt;output_forder&gt;
+</code></pre>
+</div>
+
+<p>通过这个命令,相关的 metadata 将会生成且其位置位于 <code class="highlighter-rouge">&lt;output_forder&gt;</code> 下。细节如下,system_cube 就是我们的 <code class="highlighter-rouge">&lt;output_forder&gt;</code>:</p>
+
+<p><img src="/images/SystemCube/metadata.png" alt="metadata" /></p>
+
+<h3 id="section-1">2. 建立数据源</h3>
+<p>运行下列命令生成 hive 源表:</p>
+
+<div class="highlighter-rouge"><pre class="highlight"><code>hive -f &lt;output_forder&gt;/create_hive_tables_for_system_cubes.sql
+</code></pre>
+</div>
+
+<p>通过这个命令,相关的 hive 表将会被创建。</p>
+
+<p><img src="/images/SystemCube/hive_table.png" alt="hive_table" /></p>
+
+<h3 id="system-cubes--metadata">3. 为 System Cubes 上传 Metadata</h3>
+<p>然后我们需要通过下列命令上传 metadata 到 hbase:</p>
+
+<div class="highlighter-rouge"><pre class="highlight"><code>./bin/metastore.sh restore &lt;output_forder&gt;
+</code></pre>
+</div>
+
+<h3 id="metadata-1">4. 重载 Metadata</h3>
+<p>最终,我们需要在 Kylin web UI 重载 metadata。</p>
+
+<p>然后,一组系统 Cubes 将会被创建在系统 project 下,称为 “KYLIN_SYSTEM”。</p>
+
+<h3 id="cube-build">5. 系统 Cube build</h3>
+<p>当系统 Cube 被创建,我们需要定期 build Cube。</p>
+
+<ol>
+  <li>
+    <p>创建一个 shell 脚本其通过调用 org.apache.kylin.tool.job.CubeBuildingCLI 来 build 系统 Cube</p>
+
+    <p>例如:</p>
+  </li>
+</ol>
+
+<div class="highlight"><pre><code class="language-groff" data-lang="groff">#!/bin/bash
+
+dir=$(dirname ${0})
+export KYLIN_HOME=${dir}/../
+
+CUBE=$1
+INTERVAL=$2
+DELAY=$3
+CURRENT_TIME_IN_SECOND=`date +%s`
+CURRENT_TIME=$((CURRENT_TIME_IN_SECOND * 1000))
+END_TIME=$((CURRENT_TIME-DELAY))
+END=$((END_TIME - END_TIME%INTERVAL))
+
+ID="$END"
+echo "building for ${CUBE}_${ID}" &gt;&gt; ${KYLIN_HOME}/logs/build_trace.log
+sh ${KYLIN_HOME}/bin/kylin.sh org.apache.kylin.tool.job.CubeBuildingCLI --cube ${CUBE} --endTime ${END} &gt; ${KYLIN_HOME}/logs/system_cube_${CUBE}_${END}.log 2&gt;&amp;1 &amp;</code></pre></div>
+
+<ol>
+  <li>
+    <p>然后定期运行这个 shell 脚本</p>
+
+    <p>例如,像接下来这样添加一个 cron job:</p>
+  </li>
+</ol>
+
+<div class="highlight"><pre><code class="language-groff" data-lang="groff">0 */2 * * * sh ${KYLIN_HOME}/bin/system_cube_build.sh KYLIN_HIVE_METRICS_QUERY_QA 3600000 1200000
+
+20 */2 * * * sh ${KYLIN_HOME}/bin/system_cube_build.sh KYLIN_HIVE_METRICS_QUERY_CUBE_QA 3600000 1200000
+
+40 */4 * * * sh ${KYLIN_HOME}/bin/system_cube_build.sh KYLIN_HIVE_METRICS_QUERY_RPC_QA 3600000 1200000
+
+30 */4 * * * sh ${KYLIN_HOME}/bin/system_cube_build.sh KYLIN_HIVE_METRICS_JOB_QA 3600000 1200000
+
+50 */12 * * * sh ${KYLIN_HOME}/bin/system_cube_build.sh KYLIN_HIVE_METRICS_JOB_EXCEPTION_QA 3600000 12000</code></pre></div>
+
+<h2 id="cube-">系统 Cube 的细节</h2>
+
+<h3 id="dimension">普通 Dimension</h3>
+<p>对于这些 Cube,admins 能够用四个时间粒度查询。从高级别到低级别,如下:</p>
+
+<table>
+  <tr>
+    <td>KYEAR_BEGIN_DATE</td>
+    <td>year</td>
+  </tr>
+  <tr>
+    <td>KMONTH_BEGIN_DATE</td>
+    <td>month</td>
+  </tr>
+  <tr>
+    <td>KWEEK_BEGIN_DATE</td>
+    <td>week</td>
+  </tr>
+  <tr>
+    <td>KDAY_DATE</td>
+    <td>date</td>
+  </tr>
+</table>
+
+<h3 id="metricsquery">METRICS_QUERY</h3>
+<p>这个 Cube 用于在最高级别收集查询 metrics。细节如下:</p>
+
+<table>
+  <tr>
+    <th colspan="2">Dimension</th>
+  </tr>
+  <tr>
+    <td>HOST</td>
+    <td>the host of server for query engine</td>
+  </tr>
+  <tr>
+    <td>PROJECT</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>REALIZATION</td>
+    <td>in Kylin,there are two OLAP realizations: Cube,or Hybrid of Cubes</td>
+  </tr>
+  <tr>
+    <td>REALIZATION_TYPE</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>QUERY_TYPE</td>
+    <td>users can query on different data sources,CACHE,OLAP,LOOKUP_TABLE,HIVE</td>
+  </tr>
+  <tr>
+    <td>EXCEPTION</td>
+    <td>when doing query,exceptions may happen. It's for classifying different exception types</td>
+  </tr>
+</table>
+
+<table>
+  <tr>
+    <th colspan="2">Measure</th>
+  </tr>
+  <tr>
+    <td>COUNT</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>MIN,MAX,SUM of QUERY_TIME_COST</td>
+    <td>the time cost for the whole query</td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of CALCITE_SIZE_RETURN</td>
+    <td>the row count of the result Calcite returns</td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of STORAGE_SIZE_RETURN</td>
+    <td>the row count of the input to Calcite</td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of CALCITE_SIZE_AGGREGATE_FILTER</td>
+    <td>the row count of Calcite aggregates and filters</td>
+  </tr>
+  <tr>
+    <td>COUNT DISTINCT of QUERY_HASH_CODE</td>
+    <td>the number of different queries</td>
+  </tr>
+</table>
+
+<h3 id="metricsqueryrpc">METRICS_QUERY_RPC</h3>
+<p>这个 Cube 用于在最低级别收集查询 metrics。对于一个查询,相关的 aggregation 和 filter 能够下推到每一个 rpc 目标服务器。Rpc 目标服务器的健壮性是更好查询性能的基础。细节如下:</p>
+
+<table>
+  <tr>
+    <th colspan="2">Dimension</th>
+  </tr>
+  <tr>
+    <td>HOST</td>
+    <td>the host of server for query engine</td>
+  </tr>
+  <tr>
+    <td>PROJECT</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>REALIZATION</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>RPC_SERVER</td>
+    <td>the rpc related target server</td>
+  </tr>
+  <tr>
+    <td>EXCEPTION</td>
+    <td>the exception of a rpc call. If no exception,"NULL" is used</td>
+  </tr>
+</table>
+
+<table>
+  <tr>
+    <th colspan="2">Measure</th>
+  </tr>
+  <tr>
+    <td>COUNT</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of CALL_TIME</td>
+    <td>the time cost of a rpc all</td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of COUNT_SKIP</td>
+    <td>based on fuzzy filters or else,a few rows will be skiped. This indicates the skipped row count</td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of SIZE_SCAN</td>
+    <td>the row count actually scanned</td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of SIZE_RETURN</td>
+    <td>the row count actually returned</td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of SIZE_AGGREGATE</td>
+    <td>the row count actually aggregated</td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of SIZE_AGGREGATE_FILTER</td>
+    <td>the row count actually aggregated and filtered,= SIZE_SCAN - SIZE_RETURN</td>
+  </tr>
+</table>
+
+<h3 id="metricsquerycube">METRICS_QUERY_CUBE</h3>
+<p>这个 Cube 用于在 Cube 级别收集查询 metrics。最重要的是 cuboids 相关的,其为 Cube planner 提供服务。细节如下:</p>
+
+<table>
+  <tr>
+    <th colspan="2">Dimension</th>
+  </tr>
+  <tr>
+    <td>CUBE_NAME</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>CUBOID_SOURCE</td>
+    <td>source cuboid parsed based on query and Cube design</td>
+  </tr>
+  <tr>
+    <td>CUBOID_TARGET</td>
+    <td>target cuboid already precalculated and served for source cuboid</td>
+  </tr>
+  <tr>
+    <td>IF_MATCH</td>
+    <td>whether source cuboid and target cuboid are equal</td>
+  </tr>
+  <tr>
+    <td>IF_SUCCESS</td>
+    <td>whether a query on this Cube is successful or not</td>
+  </tr>
+</table>
+
+<table>
+  <tr>
+    <th colspan="2">Measure</th>
+  </tr>
+  <tr>
+    <td>COUNT</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of STORAGE_CALL_COUNT</td>
+    <td>the number of rpc calls for a query hit on this Cube</td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of STORAGE_CALL_TIME_SUM</td>
+    <td>sum of time cost for the rpc calls of a query</td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of STORAGE_CALL_TIME_MAX</td>
+    <td>max of time cost among the rpc calls of a query</td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of STORAGE_COUNT_SKIP</td>
+    <td>the sum of row count skipped for the related rpc calls</td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of STORAGE_SIZE_SCAN</td>
+    <td>the sum of row count scanned for the related rpc calls</td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of STORAGE_SIZE_RETURN</td>
+    <td>the sum of row count returned for the related rpc calls</td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of STORAGE_SIZE_AGGREGATE</td>
+    <td>the sum of row count aggregated for the related rpc calls</td>
+  </tr>
+  <tr>
+    <td>MAX,SUM of STORAGE_SIZE_AGGREGATE_FILTER</td>
+    <td>the sum of row count aggregated and filtered for the related rpc calls,= STORAGE_SIZE_SCAN - STORAGE_SIZE_RETURN</td>
+  </tr>
+</table>
+
+<h3 id="metricsjob">METRICS_JOB</h3>
+<p>在 Kylin 中,主要有三种类型的 job:<br />
+- “BUILD”,为了从 <strong>HIVE</strong> 中 building Cube segments。<br />
+- “MERGE”,为了在 <strong>HBASE</strong> 中 merging Cube segments。<br />
+- “OPTIMIZE”,为了在 <strong>HBASE</strong> 中基于 <strong>base cuboid</strong> 动态调整预计算 cuboid tree。</p>
+
+<p>这个 Cube 是用来收集 job 指标。细节如下:</p>
+
+<table>
+  <tr>
+    <th colspan="2">Dimension</th>
+  </tr>
+  <tr>
+    <td>PROJECT</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>CUBE_NAME</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>JOB_TYPE</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>CUBING_TYPE</td>
+    <td>in kylin,there are two cubing algorithms,Layered &amp; Fast(InMemory)</td>
+  </tr>
+</table>
+
+<table>
+  <tr>
+    <th colspan="2">Measure</th>
+  </tr>
+  <tr>
+    <td>COUNT</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>MIN,MAX,SUM of DURATION</td>
+    <td>the duration from a job start to finish</td>
+  </tr>
+  <tr>
+    <td>MIN,MAX,SUM of TABLE_SIZE</td>
+    <td>the size of data source in bytes</td>
+  </tr>
+  <tr>
+    <td>MIN,MAX,SUM of CUBE_SIZE</td>
+    <td>the size of created Cube segment in bytes</td>
+  </tr>
+  <tr>
+    <td>MIN,MAX,SUM of PER_BYTES_TIME_COST</td>
+    <td>= DURATION / TABLE_SIZE</td>
+  </tr>
+  <tr>
+    <td>MIN,MAX,SUM of WAIT_RESOURCE_TIME</td>
+    <td>a job may includes serveral MR(map reduce) jobs. Those MR jobs may wait because of lack of Hadoop resources.</td>
+  </tr>
+</table>
+
+<h3 id="metricsjobexception">METRICS_JOB_EXCEPTION</h3>
+<p>这个 Cube 是用来收集 job exception 指标。细节如下:</p>
+
+<table>
+  <tr>
+    <th colspan="2">Dimension</th>
+  </tr>
+  <tr>
+    <td>PROJECT</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>CUBE_NAME</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>JOB_TYPE</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>CUBING_TYPE</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td>EXCEPTION</td>
+    <td>when running a job,exceptions may happen. It's for classifying different exception types</td>
+  </tr>
+</table>
+
+<table>
+  <tr>
+    <th>Measure</th>
+  </tr>
+  <tr>
+    <td>COUNT</td>
+  </tr>
+</table>
+
+							</article>
+						</div>
+					</div>
+				</div>
+				<!--
+* 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.
+-->
+
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+        <a href="/cn/docs23/install/kylin_cluster.html" class="list-group-item-lay pjaxlink ">Cluster 模式下部署</a>
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+        <a href="/cn/docs23/install/configuration.html" class="list-group-item-lay pjaxlink ">Kylin 配置</a>
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+        <a href="/cn/docs23/install/advance_settings.html" class="list-group-item-lay pjaxlink ">高级设置</a>
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+      <li class="navlist">
+        <a href="/cn/docs23/install/kylin_aws_emr.html" class="list-group-item-lay pjaxlink ">在 AWS EMR 上 安装 Kylin</a>
+      </li>      
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+      <li class="navlist">
+        <a href="/cn/docs23/install/kylin_docker.html" class="list-group-item-lay pjaxlink ">用 Docker 运行 Kylin</a>
+      </li>      
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+
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+
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+
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+  </div>
+</div>
+    
+    <li><a href="#title教程" data-toggle="collapse" class="navtitle">教程</a></li>
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/kylin_sample.html" class="list-group-item-lay pjaxlink ">样例 Cube 快速入门</a>
+      </li>      
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/web.html" class="list-group-item-lay pjaxlink ">Web 界面</a>
+      </li>      
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/create_cube.html" class="list-group-item-lay pjaxlink ">Cube 创建</a>
+      </li>      
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+        <a href="/cn/docs23/tutorial/cube_build_job.html" class="list-group-item-lay pjaxlink ">Cube 构建和 Job 监控</a>
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/project_level_acl.html" class="list-group-item-lay pjaxlink ">Project Level ACL</a>
+      </li>      
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/cube_spark.html" class="list-group-item-lay pjaxlink ">用 Spark 构建 Cube</a>
+      </li>      
+      
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/cube_streaming.html" class="list-group-item-lay pjaxlink ">从 Kafka 流构建 Cube</a>
+      </li>      
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/cube_build_performance.html" class="list-group-item-lay pjaxlink ">优化 Cube 构建</a>
+      </li>      
+      
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/kylin_client_tool.html" class="list-group-item-lay pjaxlink ">Python 客户端</a>
+      </li>      
+      
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/setup_systemcube.html" class="list-group-item-lay pjaxlink ">建立系统 Cube</a>
+      </li>      
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/use_cube_planner.html" class="list-group-item-lay pjaxlink ">使用 Cube Planner</a>
+      </li>      
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/use_dashboard.html" class="list-group-item-lay pjaxlink ">使用 Dashboard</a>
+      </li>      
+      
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/setup_jdbc_datasource.html" class="list-group-item-lay pjaxlink ">建立 JDBC 数据源</a>
+      </li>      
+      
+
+
+
+
+
+
+
+        <ul>
+  </div>
+</div>
+    
+    <li><a href="#title工具集成" data-toggle="collapse" class="navtitle">工具集成</a></li>
+    <div class="collapse in">
+  	<div class="list-group" id="list1">
+    <ul>
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/odbc.html" class="list-group-item-lay pjaxlink ">ODBC 驱动</a>
+      </li>      
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/jdbc.html" class="list-group-item-lay pjaxlink ">JDBC 驱动</a>
+      </li>      
+      
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/tableau.html" class="list-group-item-lay pjaxlink ">Tableau 8</a>
+      </li>      
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/tableau_91.html" class="list-group-item-lay pjaxlink ">Tableau 9</a>
+      </li>      
+      
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+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/powerbi.html" class="list-group-item-lay pjaxlink ">Excel 及 Power BI 教程</a>
+      </li>      
+      
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+  
+    
+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/squirrel.html" class="list-group-item-lay pjaxlink ">SQuirreL</a>
+      </li>      
+      
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+    
+      <li class="navlist">
+        <a href="/cn/docs23/tutorial/Qlik.html" class="list-group-item-lay pjaxlink ">Qlik Sense 集成</a>
+      </li>      
+      
+
+
+
+
+
+
+
+        <ul>
+  </div>
+</div>
+    
+    <li><a href="#title帮助" data-toggle="collapse" class="navtitle">帮助</a></li>
+    <div class="collapse in">
+  	<div class="list-group" id="list1">
+    <ul>
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+      <li class="navlist">
+        <a href="/cn/docs23/howto/howto_use_restapi.html" class="list-group-item-lay pjaxlink ">Use RESTful API</a>
+      </li>      
+      
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+      <li class="navlist">
+        <a href="/cn/docs23/howto/howto_build_cube_with_restapi.html" class="list-group-item-lay pjaxlink ">用 API 构建 Cube</a>
+      </li>      
+      
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+  
+    
+      <li class="navlist">
+        <a href="/cn/docs23/howto/howto_optimize_cubes.html" class="list-group-item-lay pjaxlink ">优化 Cube 设计</a>
+      </li>      
+      
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+      <li class="navlist">
+        <a href="/cn/docs23/howto/howto_optimize_build.html" class="list-group-item-lay pjaxlink ">优化 Cube 构建</a>
+      </li>      
+      
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+      <li class="navlist">
+        <a href="/cn/docs23/howto/howto_backup_metadata.html" class="list-group-item-lay pjaxlink ">备份元数据</a>
+      </li>      
+      
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+      <li class="navlist">
+        <a href="/cn/docs23/howto/howto_cleanup_storage.html" class="list-group-item-lay pjaxlink ">清理存储</a>
+      </li>      
+      
+
+
+
+
+
+
+
+        <ul>
+  </div>
+</div>
+    
+
+    </ul>
+</div>
+			</div>
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