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| <section id="dataframe-and-sql"> |
| <h1>DataFrame and SQL<a class="headerlink" href="#dataframe-and-sql" title="Link to this heading">#</a></h1> |
| <p>DataFusion Java supports two query interfaces: SQL strings via |
| <code class="docutils literal notranslate"><span class="pre">SessionContext.sql(String)</span></code>, and a programmatic DataFrame API.</p> |
| <section id="sql"> |
| <h2>SQL<a class="headerlink" href="#sql" title="Link to this heading">#</a></h2> |
| <div class="highlight-java notranslate"><div class="highlight"><pre><span></span><span class="k">try</span><span class="w"> </span><span class="p">(</span><span class="n">DataFrame</span><span class="w"> </span><span class="n">df</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">ctx</span><span class="p">.</span><span class="na">sql</span><span class="p">(</span><span class="s">"SELECT a, b FROM t WHERE a > 10"</span><span class="p">))</span><span class="w"> </span><span class="p">{</span> |
| <span class="w"> </span><span class="n">df</span><span class="p">.</span><span class="na">show</span><span class="p">();</span> |
| <span class="p">}</span> |
| </pre></div> |
| </div> |
| <p><code class="docutils literal notranslate"><span class="pre">sql(String)</span></code> plans the query and returns a <code class="docutils literal notranslate"><span class="pre">DataFrame</span></code>. Execution does |
| not start until you pull results.</p> |
| </section> |
| <section id="dataframe-transformations"> |
| <h2>DataFrame transformations<a class="headerlink" href="#dataframe-transformations" title="Link to this heading">#</a></h2> |
| <p>The DataFrame API exposes <code class="docutils literal notranslate"><span class="pre">select</span></code>, <code class="docutils literal notranslate"><span class="pre">filter</span></code>, <code class="docutils literal notranslate"><span class="pre">limit</span></code>, <code class="docutils literal notranslate"><span class="pre">distinct</span></code>, |
| <code class="docutils literal notranslate"><span class="pre">dropColumns</span></code>, and <code class="docutils literal notranslate"><span class="pre">withColumnRenamed</span></code>.</p> |
| <div class="highlight-java notranslate"><div class="highlight"><pre><span></span><span class="k">try</span><span class="w"> </span><span class="p">(</span><span class="n">DataFrame</span><span class="w"> </span><span class="n">df</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">ctx</span><span class="p">.</span><span class="na">readParquet</span><span class="p">(</span><span class="s">"/path/to/orders.parquet"</span><span class="p">))</span><span class="w"> </span><span class="p">{</span> |
| <span class="w"> </span><span class="k">try</span><span class="w"> </span><span class="p">(</span><span class="n">DataFrame</span><span class="w"> </span><span class="n">filtered</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">df</span><span class="p">.</span><span class="na">filter</span><span class="p">(</span><span class="s">"o_orderpriority = '1-URGENT'"</span><span class="p">))</span><span class="w"> </span><span class="p">{</span> |
| <span class="w"> </span><span class="n">filtered</span><span class="p">.</span><span class="na">show</span><span class="p">();</span> |
| <span class="w"> </span><span class="p">}</span> |
| <span class="p">}</span> |
| </pre></div> |
| </div> |
| <p>Each transformation returns a new <code class="docutils literal notranslate"><span class="pre">DataFrame</span></code> that must be closed.</p> |
| </section> |
| <section id="pulling-results"> |
| <h2>Pulling results<a class="headerlink" href="#pulling-results" title="Link to this heading">#</a></h2> |
| <p>Three patterns are available:</p> |
| <p><strong>Stream as Arrow batches.</strong> Use <code class="docutils literal notranslate"><span class="pre">collect(allocator)</span></code> to pull the result |
| set as Arrow record batches via the <a class="reference external" href="https://arrow.apache.org/docs/format/CDataInterface.html">Arrow C Data Interface</a>:</p> |
| <div class="highlight-java notranslate"><div class="highlight"><pre><span></span><span class="k">try</span><span class="w"> </span><span class="p">(</span><span class="n">DataFrame</span><span class="w"> </span><span class="n">df</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">ctx</span><span class="p">.</span><span class="na">sql</span><span class="p">(</span><span class="s">"SELECT ..."</span><span class="p">);</span> |
| <span class="w"> </span><span class="n">ArrowReader</span><span class="w"> </span><span class="n">reader</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">df</span><span class="p">.</span><span class="na">collect</span><span class="p">(</span><span class="n">allocator</span><span class="p">))</span><span class="w"> </span><span class="p">{</span> |
| <span class="w"> </span><span class="k">while</span><span class="w"> </span><span class="p">(</span><span class="n">reader</span><span class="p">.</span><span class="na">loadNextBatch</span><span class="p">())</span><span class="w"> </span><span class="p">{</span> |
| <span class="w"> </span><span class="kd">var</span><span class="w"> </span><span class="n">batch</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">reader</span><span class="p">.</span><span class="na">getVectorSchemaRoot</span><span class="p">();</span> |
| <span class="w"> </span><span class="c1">// process batch...</span> |
| <span class="w"> </span><span class="p">}</span> |
| <span class="p">}</span> |
| </pre></div> |
| </div> |
| <p><strong>Count rows.</strong> <code class="docutils literal notranslate"><span class="pre">df.count()</span></code> returns the row count without materializing |
| the rows in the JVM.</p> |
| <p><strong>Print for inspection.</strong> <code class="docutils literal notranslate"><span class="pre">df.show()</span></code> and <code class="docutils literal notranslate"><span class="pre">df.show(int</span> <span class="pre">n)</span></code> print results |
| to standard output. Useful for exploration; not appropriate for |
| production code paths.</p> |
| </section> |
| <section id="schema-introspection"> |
| <h2>Schema introspection<a class="headerlink" href="#schema-introspection" title="Link to this heading">#</a></h2> |
| <p>To get the schema of a registered table without running a query:</p> |
| <div class="highlight-java notranslate"><div class="highlight"><pre><span></span><span class="n">org</span><span class="p">.</span><span class="na">apache</span><span class="p">.</span><span class="na">arrow</span><span class="p">.</span><span class="na">vector</span><span class="p">.</span><span class="na">types</span><span class="p">.</span><span class="na">pojo</span><span class="p">.</span><span class="na">Schema</span><span class="w"> </span><span class="n">schema</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">ctx</span><span class="p">.</span><span class="na">tableSchema</span><span class="p">(</span><span class="s">"orders"</span><span class="p">);</span> |
| </pre></div> |
| </div> |
| </section> |
| <section id="plan-input"> |
| <h2>Plan input<a class="headerlink" href="#plan-input" title="Link to this heading">#</a></h2> |
| <p>A DataFusion logical plan can be deserialized from <code class="docutils literal notranslate"><span class="pre">datafusion-proto</span></code> |
| bytes via <code class="docutils literal notranslate"><span class="pre">SessionContext.fromProto(byte[])</span></code>. The <code class="docutils literal notranslate"><span class="pre">datafusion-proto</span></code> Java |
| classes are generated by the Maven build. This is useful for accepting |
| plans produced by other DataFusion-aware tooling.</p> |
| </section> |
| </section> |
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