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<section id="java-algorithms">
<h1>Java Algorithms<a class="headerlink" href="#java-algorithms" title="Permalink to this heading"></a></h1>
<p>Arrow’s Java library provides algorithms for some commonly-used
functionalities. The algorithms are provided in the <code class="docutils literal notranslate"><span class="pre">org.apache.arrow.algorithm</span></code>
package of the <code class="docutils literal notranslate"><span class="pre">algorithm</span></code> module.</p>
<section id="comparing-vector-elements">
<h2>Comparing Vector Elements<a class="headerlink" href="#comparing-vector-elements" title="Permalink to this heading"></a></h2>
<p>Comparing vector elements is the basic for many algorithms. Vector
elements can be compared in one of the two ways:</p>
<p>1. <strong>Equality comparison</strong>: there are two possible results for this type of comparisons: <code class="docutils literal notranslate"><span class="pre">equal</span></code> and <code class="docutils literal notranslate"><span class="pre">unequal</span></code>.
Currently, this type of comparison is supported through the <code class="docutils literal notranslate"><span class="pre">org.apache.arrow.vector.compare.VectorValueEqualizer</span></code>
interface.</p>
<p>2. <strong>Ordering comparison</strong>: there are three possible results for this type of comparisons: <code class="docutils literal notranslate"><span class="pre">less</span> <span class="pre">than</span></code>, <code class="docutils literal notranslate"><span class="pre">equal</span> <span class="pre">to</span></code>
and <code class="docutils literal notranslate"><span class="pre">greater</span> <span class="pre">than</span></code>. This comparison is supported by the abstract class <code class="docutils literal notranslate"><span class="pre">org.apache.arrow.algorithm.sort.VectorValueComparator</span></code>.</p>
<p>We provide default implementations to compare vector elements. However, users can also define ways
for customized comparisons.</p>
</section>
<section id="vector-element-search">
<h2>Vector Element Search<a class="headerlink" href="#vector-element-search" title="Permalink to this heading"></a></h2>
<p>A search algorithm tries to find a particular value in a vector. When successful, a vector index is
returned; otherwise, a <code class="docutils literal notranslate"><span class="pre">-1</span></code> is returned. The following search algorithms are provided:</p>
<p>1. <strong>Linear search</strong>: this algorithm simply traverses the vector from the beginning, until a match is
found, or the end of the vector is reached. So it takes <code class="docutils literal notranslate"><span class="pre">O(n)</span></code> time, where <code class="docutils literal notranslate"><span class="pre">n</span></code> is the number of elements
in the vector. This algorithm is implemented in <code class="docutils literal notranslate"><span class="pre">org.apache.arrow.algorithm.search.VectorSearcher#linearSearch</span></code>.</p>
<p>2. <strong>Binary search</strong>: this represents a more efficient search algorithm, as it runs in <code class="docutils literal notranslate"><span class="pre">O(log(n))</span></code> time.
However, it is only applicable to sorted vectors. To get a sorted vector,
one can use one of our sorting algorithms, which will be discussed in the next section. This algorithm
is implemented in <code class="docutils literal notranslate"><span class="pre">org.apache.arrow.algorithm.search.VectorSearcher#binarySearch</span></code>.</p>
<p>3. <strong>Parallel search</strong>: when the vector is large, it takes a long time to traverse the elements to search
for a value. To make this process faster, one can split the vector into multiple partitions, and perform the
search for each partition in parallel. This is supported by <code class="docutils literal notranslate"><span class="pre">org.apache.arrow.algorithm.search.ParallelSearcher</span></code>.</p>
<p>4. <strong>Range search</strong>: for many scenarios, there can be multiple matching values in the vector.
If the vector is sorted, the matching values reside in a contiguous region in the vector. The
range search algorithm tries to find the upper/lower bound of the region in <code class="docutils literal notranslate"><span class="pre">O(log(n))</span></code> time.
An implementation is provided in <code class="docutils literal notranslate"><span class="pre">org.apache.arrow.algorithm.search.VectorRangeSearcher</span></code>.</p>
</section>
<section id="vector-sorting">
<h2>Vector Sorting<a class="headerlink" href="#vector-sorting" title="Permalink to this heading"></a></h2>
<p>Given a vector, a sorting algorithm turns it into a sorted one. The sorting criteria must
be specified by some ordering comparison operation. The sorting algorithms can be
classified into the following categories:</p>
<p>1. <strong>In-place sorter</strong>: an in-place sorter performs the sorting by manipulating the original
vector, without creating any new vector. So it just returns the original vector after the sorting operations.
Currently, we have <code class="docutils literal notranslate"><span class="pre">org.apache.arrow.algorithm.sort.FixedWidthInPlaceVectorSorter</span></code> for in-place
sorting in <code class="docutils literal notranslate"><span class="pre">O(nlog(n))</span></code> time. As the name suggests, it only supports fixed width vectors.</p>
<p>2. <strong>Out-of-place sorter</strong>: an out-of-place sorter does not mutate the original vector. Instead,
it copies vector elements to a new vector in sorted order, and returns the new vector.
We have <code class="docutils literal notranslate"><span class="pre">org.apache.arrow.algorithm.sort.FixedWidthInPlaceVectorSorter.FixedWidthOutOfPlaceVectorSorter</span></code>
and <code class="docutils literal notranslate"><span class="pre">org.apache.arrow.algorithm.sort.FixedWidthInPlaceVectorSorter.VariableWidthOutOfPlaceVectorSorter</span></code>
for fixed width and variable width vectors, respectively. Both algorithms run in <code class="docutils literal notranslate"><span class="pre">O(nlog(n))</span></code> time.</p>
<p>3. <strong>Index sorter</strong>: this sorter does not actually sort the vector. Instead, it returns an integer
vector, which correspond to indices of vector elements in sorted order. With the index vector, one can
easily construct a sorted vector. In addition, some other tasks can be easily achieved, like finding the <code class="docutils literal notranslate"><span class="pre">k``th</span>
<span class="pre">smallest</span> <span class="pre">value</span> <span class="pre">in</span> <span class="pre">the</span> <span class="pre">vector.</span> <span class="pre">Index</span> <span class="pre">sorting</span> <span class="pre">is</span> <span class="pre">supported</span> <span class="pre">by</span> <span class="pre">``org.apache.arrow.algorithm.sort.IndexSorter</span></code>,
which runs in <code class="docutils literal notranslate"><span class="pre">O(nlog(n))</span></code> time. It is applicable to vectors of any type.</p>
</section>
<section id="other-algorithms">
<h2>Other Algorithms<a class="headerlink" href="#other-algorithms" title="Permalink to this heading"></a></h2>
<p>Other algorithms include vector deduplication, dictionary encoding, etc., in the <code class="docutils literal notranslate"><span class="pre">algorithm</span></code> module.</p>
</section>
</section>
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