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| 1. Return a new SparkDataFrame range partitioned by |
| the given columns into numPartitions. |
| 2. Return a new SparkDataFrame range partitioned by the given column(s), |
| using spark.sql.shuffle.partitions as number of partitions. |
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| 1. Return a new SparkDataFrame range partitioned by |
| the given columns into numPartitions. |
| 2. Return a new SparkDataFrame range partitioned by the given column(s), |
| using spark.sql.shuffle.partitions as number of partitions. |
| At least one partition-by expression must be specified. |
| When no explicit sort order is specified, "ascending nulls first" is assumed.'><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]> |
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| <img src="" class="logo" alt=""><h1>Repartition by range</h1> |
| |
| <div class="d-none name"><code>repartitionByRange.Rd</code></div> |
| </div> |
| |
| <div class="ref-description section level2"> |
| <p>The following options for repartition by range are possible:</p><ul><li><p>1. Return a new SparkDataFrame range partitioned by |
| the given columns into <code>numPartitions</code>.</p></li> |
| <li><p>2. Return a new SparkDataFrame range partitioned by the given column(s), |
| using <code>spark.sql.shuffle.partitions</code> as number of partitions.</p></li> |
| </ul><p>At least one partition-by expression must be specified. |
| When no explicit sort order is specified, "ascending nulls first" is assumed.</p> |
| </div> |
| |
| <div class="section level2"> |
| <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2> |
| <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">repartitionByRange</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span> |
| <span></span> |
| <span><span class="co"># S4 method for SparkDataFrame</span></span> |
| <span><span class="fu">repartitionByRange</span><span class="op">(</span><span class="va">x</span>, numPartitions <span class="op">=</span> <span class="cn">NULL</span>, col <span class="op">=</span> <span class="cn">NULL</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div> |
| </div> |
| |
| <div class="section level2"> |
| <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2> |
| <dl><dt>x</dt> |
| <dd><p>a SparkDataFrame.</p></dd> |
| |
| |
| <dt>...</dt> |
| <dd><p>additional column(s) to be used in the range partitioning.</p></dd> |
| |
| |
| <dt>numPartitions</dt> |
| <dd><p>the number of partitions to use.</p></dd> |
| |
| |
| <dt>col</dt> |
| <dd><p>the column by which the range partitioning will be performed.</p></dd> |
| |
| </dl></div> |
| <div class="section level2"> |
| <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2> |
| <p>Note that due to performance reasons this method uses sampling to estimate the ranges. |
| Hence, the output may not be consistent, since sampling can return different values. |
| The sample size can be controlled by the config |
| <code>spark.sql.execution.rangeExchange.sampleSizePerPartition</code>.</p> |
| </div> |
| <div class="section level2"> |
| <h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2> |
| <p>repartitionByRange since 2.4.0</p> |
| </div> |
| <div class="section level2"> |
| <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2> |
| <div class="dont-index"><p><a href="repartition.html">repartition</a>, <a href="coalesce.html">coalesce</a></p> |
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| |
| <div class="section level2"> |
| <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2> |
| <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span></span></span> |
| <span class="r-in"><span><span class="fu"><a href="sparkR.session.html">sparkR.session</a></span><span class="op">(</span><span class="op">)</span></span></span> |
| <span class="r-in"><span><span class="va">path</span> <span class="op"><-</span> <span class="st">"path/to/file.json"</span></span></span> |
| <span class="r-in"><span><span class="va">df</span> <span class="op"><-</span> <span class="fu"><a href="read.json.html">read.json</a></span><span class="op">(</span><span class="va">path</span><span class="op">)</span></span></span> |
| <span class="r-in"><span><span class="va">newDF</span> <span class="op"><-</span> <span class="fu">repartitionByRange</span><span class="op">(</span><span class="va">df</span>, col <span class="op">=</span> <span class="va">df</span><span class="op">$</span><span class="va">col1</span>, <span class="va">df</span><span class="op">$</span><span class="va">col2</span><span class="op">)</span></span></span> |
| <span class="r-in"><span><span class="va">newDF</span> <span class="op"><-</span> <span class="fu">repartitionByRange</span><span class="op">(</span><span class="va">df</span>, <span class="fl">3L</span>, col <span class="op">=</span> <span class="va">df</span><span class="op">$</span><span class="va">col1</span>, <span class="va">df</span><span class="op">$</span><span class="va">col2</span><span class="op">)</span></span></span> |
| <span class="r-in"><span><span class="op">}</span></span></span> |
| </code></pre></div> |
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