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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.NodeId.html">smallpond.logical.node.NodeId</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.LogicalPlan.html">smallpond.logical.node.LogicalPlan</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.LogicalPlanVisitor.html">smallpond.logical.node.LogicalPlanVisitor</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.Node.html">smallpond.logical.node.Node</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.DataSetPartitionNode.html">smallpond.logical.node.DataSetPartitionNode</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.ArrowBatchNode.html">smallpond.logical.node.ArrowBatchNode</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.ArrowComputeNode.html">smallpond.logical.node.ArrowComputeNode</a></li>
|
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.ArrowStreamNode.html">smallpond.logical.node.ArrowStreamNode</a></li>
|
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|
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|
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|
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.EvenlyDistributedPartitionNode.html">smallpond.logical.node.EvenlyDistributedPartitionNode</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.HashPartitionNode.html">smallpond.logical.node.HashPartitionNode</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.LimitNode.html">smallpond.logical.node.LimitNode</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.LoadPartitionedDataSetNode.html">smallpond.logical.node.LoadPartitionedDataSetNode</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.PandasBatchNode.html">smallpond.logical.node.PandasBatchNode</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.PandasComputeNode.html">smallpond.logical.node.PandasComputeNode</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.PartitionNode.html">smallpond.logical.node.PartitionNode</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.ProjectionNode.html">smallpond.logical.node.ProjectionNode</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.PythonScriptNode.html">smallpond.logical.node.PythonScriptNode</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.RangePartitionNode.html">smallpond.logical.node.RangePartitionNode</a></li>
|
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.RepeatPartitionNode.html">smallpond.logical.node.RepeatPartitionNode</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.UnionNode.html">smallpond.logical.node.UnionNode</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.UserDefinedPartitionNode.html">smallpond.logical.node.UserDefinedPartitionNode</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.logical.node.UserPartitionedDataSourceNode.html">smallpond.logical.node.UserPartitionedDataSourceNode</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.execution.task.PartitionInfo.html">smallpond.execution.task.PartitionInfo</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.execution.task.PerfStats.html">smallpond.execution.task.PerfStats</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.execution.task.ArrowComputeTask.html">smallpond.execution.task.ArrowComputeTask</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.execution.task.EvenlyDistributedPartitionProducerTask.html">smallpond.execution.task.EvenlyDistributedPartitionProducerTask</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.execution.task.HashPartitionArrowTask.html">smallpond.execution.task.HashPartitionArrowTask</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.execution.task.HashPartitionDuckDbTask.html">smallpond.execution.task.HashPartitionDuckDbTask</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.execution.task.HashPartitionTask.html">smallpond.execution.task.HashPartitionTask</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.execution.task.LoadPartitionedDataSetProducerTask.html">smallpond.execution.task.LoadPartitionedDataSetProducerTask</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.execution.task.MergeDataSetsTask.html">smallpond.execution.task.MergeDataSetsTask</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.execution.task.PandasBatchTask.html">smallpond.execution.task.PandasBatchTask</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.execution.task.PandasComputeTask.html">smallpond.execution.task.PandasComputeTask</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.execution.task.PartitionConsumerTask.html">smallpond.execution.task.PartitionConsumerTask</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.execution.task.RepeatPartitionProducerTask.html">smallpond.execution.task.RepeatPartitionProducerTask</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.execution.task.RootTask.html">smallpond.execution.task.RootTask</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../generated/smallpond.execution.task.UserDefinedPartitionProducerTask.html">smallpond.execution.task.UserDefinedPartitionProducerTask</a></li>
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<li class="breadcrumb-item"><a href="../api.html" class="nav-link">API Reference</a></li>
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<li class="breadcrumb-item active" aria-current="page">Nodes</li>
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<article class="bd-article" role="main">
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<section id="nodes">
|
||
<span id="id1"></span><h1>Nodes<a class="headerlink" href="#nodes" title="Permalink to this heading">#</a></h1>
|
||
<p>Nodes represent the fundamental building blocks of a data processing pipeline. Each node encapsulates a specific operation or transformation that can be applied to a dataset.
|
||
Nodes can be chained together to form a logical plan, which is a directed acyclic graph (DAG) of nodes that represent the overall data processing workflow.</p>
|
||
<p>A typical workflow to create a logical plan is as follows:</p>
|
||
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># Create a global context</span>
|
||
<span class="n">ctx</span> <span class="o">=</span> <span class="n">Context</span><span class="p">()</span>
|
||
|
||
<span class="c1"># Create a dataset</span>
|
||
<span class="n">dataset</span> <span class="o">=</span> <span class="n">ParquetDataSet</span><span class="p">(</span><span class="s2">"path/to/dataset/*.parquet"</span><span class="p">)</span>
|
||
|
||
<span class="c1"># Create a data source node</span>
|
||
<span class="n">node</span> <span class="o">=</span> <span class="n">DataSourceNode</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">dataset</span><span class="p">)</span>
|
||
|
||
<span class="c1"># Partition the data</span>
|
||
<span class="n">node</span> <span class="o">=</span> <span class="n">DataSetPartitionNode</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="p">(</span><span class="n">node</span><span class="p">,),</span> <span class="n">npartitions</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
|
||
|
||
<span class="c1"># Create a SQL engine node to transform the data</span>
|
||
<span class="n">node</span> <span class="o">=</span> <span class="n">SqlEngineNode</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="p">(</span><span class="n">node</span><span class="p">,),</span> <span class="s2">"SELECT * FROM </span><span class="si">{0}</span><span class="s2">"</span><span class="p">)</span>
|
||
|
||
<span class="c1"># Create a logical plan from the root node</span>
|
||
<span class="n">plan</span> <span class="o">=</span> <span class="n">LogicalPlan</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">node</span><span class="p">)</span>
|
||
</pre></div>
|
||
</div>
|
||
<p>You can then create tasks from the logical plan, see <a class="reference internal" href="tasks.html#tasks"><span class="std std-ref">Tasks</span></a>.</p>
|
||
<p>Notable properties of Node:</p>
|
||
<ol class="arabic simple">
|
||
<li><p>Nodes are partitioned. Each Node generates a series of tasks, with each task processing one partition of data.</p></li>
|
||
<li><p>The input and output of a Node are a series of partitioned Datasets. A Node may write data to shared storage and return a new Dataset, or it may simply recombine the input Datasets.</p></li>
|
||
</ol>
|
||
<section id="context">
|
||
<h2>Context<a class="headerlink" href="#context" title="Permalink to this heading">#</a></h2>
|
||
<table class="autosummary longtable table autosummary">
|
||
<tbody>
|
||
<tr class="row-odd"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.Context.html#smallpond.logical.node.Context" title="smallpond.logical.node.Context"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Context</span></code></a>()</p></td>
|
||
<td><p>Global context for each logical plan.</p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.NodeId.html#smallpond.logical.node.NodeId" title="smallpond.logical.node.NodeId"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NodeId</span></code></a></p></td>
|
||
<td><p>A unique identifier for each node.</p></td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</section>
|
||
<section id="logicalplan">
|
||
<h2>LogicalPlan<a class="headerlink" href="#logicalplan" title="Permalink to this heading">#</a></h2>
|
||
<table class="autosummary longtable table autosummary">
|
||
<tbody>
|
||
<tr class="row-odd"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.LogicalPlan.html#smallpond.logical.node.LogicalPlan" title="smallpond.logical.node.LogicalPlan"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LogicalPlan</span></code></a>(ctx, root_node)</p></td>
|
||
<td><p>The logical plan that defines a directed acyclic computation graph.</p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.LogicalPlanVisitor.html#smallpond.logical.node.LogicalPlanVisitor" title="smallpond.logical.node.LogicalPlanVisitor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LogicalPlanVisitor</span></code></a>(*args, **kwds)</p></td>
|
||
<td><p>Visit the nodes of a logcial plan in depth-first order.</p></td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</section>
|
||
<section id="id2">
|
||
<h2>Nodes<a class="headerlink" href="#id2" title="Permalink to this heading">#</a></h2>
|
||
<table class="autosummary longtable table autosummary">
|
||
<tbody>
|
||
<tr class="row-odd"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.Node.html#smallpond.logical.node.Node" title="smallpond.logical.node.Node"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Node</span></code></a>(ctx, input_deps[, output_name, ...])</p></td>
|
||
<td><p>The base class for all nodes.</p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.DataSetPartitionNode.html#smallpond.logical.node.DataSetPartitionNode" title="smallpond.logical.node.DataSetPartitionNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataSetPartitionNode</span></code></a>(ctx, input_deps, ...[, ...])</p></td>
|
||
<td><p>Partition the outputs of <cite>input_deps</cite> into n partitions.</p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.ArrowBatchNode.html#smallpond.logical.node.ArrowBatchNode" title="smallpond.logical.node.ArrowBatchNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ArrowBatchNode</span></code></a>(ctx, input_deps, *[, ...])</p></td>
|
||
<td><p>Run user-defined code to process the input datasets as a series of arrow tables.</p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.ArrowComputeNode.html#smallpond.logical.node.ArrowComputeNode" title="smallpond.logical.node.ArrowComputeNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ArrowComputeNode</span></code></a>(ctx, input_deps, *[, ...])</p></td>
|
||
<td><p>Run Python code to process the input datasets, which have been loaded as Apache Arrow tables.</p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.ArrowStreamNode.html#smallpond.logical.node.ArrowStreamNode" title="smallpond.logical.node.ArrowStreamNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ArrowStreamNode</span></code></a>(ctx, input_deps, *[, ...])</p></td>
|
||
<td><p>Run Python code to process the input datasets, which have been loaded as RecordBatchReader.</p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.ConsolidateNode.html#smallpond.logical.node.ConsolidateNode" title="smallpond.logical.node.ConsolidateNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ConsolidateNode</span></code></a>(ctx, input_dep, dimensions)</p></td>
|
||
<td><p>Consolidate partitions into larger ones.</p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.DataSinkNode.html#smallpond.logical.node.DataSinkNode" title="smallpond.logical.node.DataSinkNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataSinkNode</span></code></a>(ctx, input_deps, output_path[, ...])</p></td>
|
||
<td><p>Collect the output files of <cite>input_deps</cite> to <cite>output_path</cite>.</p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.DataSourceNode.html#smallpond.logical.node.DataSourceNode" title="smallpond.logical.node.DataSourceNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataSourceNode</span></code></a>(ctx, dataset)</p></td>
|
||
<td><p>All inputs of a logical plan are represented as <cite>DataSourceNode</cite>.</p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.EvenlyDistributedPartitionNode.html#smallpond.logical.node.EvenlyDistributedPartitionNode" title="smallpond.logical.node.EvenlyDistributedPartitionNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EvenlyDistributedPartitionNode</span></code></a>(ctx, ...[, ...])</p></td>
|
||
<td><p>Evenly distribute the output files or rows of <cite>input_deps</cite> into n partitions.</p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.HashPartitionNode.html#smallpond.logical.node.HashPartitionNode" title="smallpond.logical.node.HashPartitionNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">HashPartitionNode</span></code></a>(ctx, input_deps, npartitions)</p></td>
|
||
<td><p>Partition the outputs of <cite>input_deps</cite> into n partitions based on the hash values of <cite>hash_columns</cite>.</p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.LimitNode.html#smallpond.logical.node.LimitNode" title="smallpond.logical.node.LimitNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LimitNode</span></code></a>(ctx, input_dep, limit)</p></td>
|
||
<td><p>Limit the number of rows of the output of an input node.</p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.LoadPartitionedDataSetNode.html#smallpond.logical.node.LoadPartitionedDataSetNode" title="smallpond.logical.node.LoadPartitionedDataSetNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LoadPartitionedDataSetNode</span></code></a>(ctx, input_deps, ...)</p></td>
|
||
<td><p>Load existing partitioned dataset (only parquet files are supported).</p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.PandasBatchNode.html#smallpond.logical.node.PandasBatchNode" title="smallpond.logical.node.PandasBatchNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PandasBatchNode</span></code></a>(ctx, input_deps, *[, ...])</p></td>
|
||
<td><p>Run Python code to process the input datasets as a series of pandas DataFrames.</p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.PandasComputeNode.html#smallpond.logical.node.PandasComputeNode" title="smallpond.logical.node.PandasComputeNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PandasComputeNode</span></code></a>(ctx, input_deps, *[, ...])</p></td>
|
||
<td><p>Run Python code to process the input datasets as a single pandas DataFrame.</p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.PartitionNode.html#smallpond.logical.node.PartitionNode" title="smallpond.logical.node.PartitionNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PartitionNode</span></code></a>(ctx, input_deps, npartitions)</p></td>
|
||
<td><p>The base class for all partition nodes.</p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.ProjectionNode.html#smallpond.logical.node.ProjectionNode" title="smallpond.logical.node.ProjectionNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ProjectionNode</span></code></a>(ctx, input_dep[, columns, ...])</p></td>
|
||
<td><p>Select columns from output of an input node.</p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.PythonScriptNode.html#smallpond.logical.node.PythonScriptNode" title="smallpond.logical.node.PythonScriptNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PythonScriptNode</span></code></a>(ctx, input_deps, *[, ...])</p></td>
|
||
<td><p>Run Python code to process the input datasets with <cite>PythonScriptNode.process(...)</cite>.</p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.RangePartitionNode.html#smallpond.logical.node.RangePartitionNode" title="smallpond.logical.node.RangePartitionNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RangePartitionNode</span></code></a>(ctx, input_deps, split_points)</p></td>
|
||
<td><p>Partition the outputs of <cite>input_deps</cite> into partitions defined by <cite>split_points</cite>.</p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.RepeatPartitionNode.html#smallpond.logical.node.RepeatPartitionNode" title="smallpond.logical.node.RepeatPartitionNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RepeatPartitionNode</span></code></a>(ctx, input_deps, ...[, ...])</p></td>
|
||
<td><p>Create a new partition dimension by repeating the <cite>input_deps</cite>.</p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.RootNode.html#smallpond.logical.node.RootNode" title="smallpond.logical.node.RootNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RootNode</span></code></a>(ctx, input_deps)</p></td>
|
||
<td><p>A virtual node that assembles multiple nodes and outputs nothing.</p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.ShuffleNode.html#smallpond.logical.node.ShuffleNode" title="smallpond.logical.node.ShuffleNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ShuffleNode</span></code></a>(ctx, input_deps, npartitions[, ...])</p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.SqlEngineNode.html#smallpond.logical.node.SqlEngineNode" title="smallpond.logical.node.SqlEngineNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SqlEngineNode</span></code></a>(ctx, input_deps, sql_query, *)</p></td>
|
||
<td><p>Run SQL query against the outputs of input_deps.</p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.UnionNode.html#smallpond.logical.node.UnionNode" title="smallpond.logical.node.UnionNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UnionNode</span></code></a>(ctx, input_deps)</p></td>
|
||
<td><p>Union two or more nodes into one flow of data.</p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.UserDefinedPartitionNode.html#smallpond.logical.node.UserDefinedPartitionNode" title="smallpond.logical.node.UserDefinedPartitionNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UserDefinedPartitionNode</span></code></a>(ctx, input_deps, ...)</p></td>
|
||
<td><p>Distribute the output files or rows of <cite>input_deps</cite> into n partitions based on user code.</p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p><a class="reference internal" href="../generated/smallpond.logical.node.UserPartitionedDataSourceNode.html#smallpond.logical.node.UserPartitionedDataSourceNode" title="smallpond.logical.node.UserPartitionedDataSourceNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UserPartitionedDataSourceNode</span></code></a>(ctx, ...[, ...])</p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
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</section>
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