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| <article data-swiftype-index='true'> |
| <a class='edit-link' href="https://github.com/apache/ignite-3/tree/main/docs/_docs/sql-reference/explain-operators-list.adoc" target="_blank">Edit</a> |
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| <h1>List Of Operators</h1> |
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| <div id="preamble"> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>This section enumerates all operators for the <code>EXPLAIN</code> statement with their semantic and supported attributes.</p> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="colocatedhashaggregate">ColocatedHashAggregate</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>The aggregate operation groups input data on one or more sets of grouping keys, calculating each aggregation function for each combination of grouping key. |
| Colocated aggregate assumes that the data is already distributed according to grouping keys, therefore aggregation can be completed locally in a single pass. |
| The hash aggregate operation maintains a hash table for each grouping set to coalesce equivalent tuples. |
| The output rows are composed as follows: first come columns participating in grouping keys in the order they enumerated in <code>group</code> attribute, then come results of accumulators in the order they enumerated in <code>aggregation</code> attribute.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>group</code>: Set of grouping columns.</p> |
| </li> |
| <li> |
| <p><code>aggregation</code>: List of accumulators.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>groupSets</code>: List of group key definitions for advanced grouping, like CUBE or ROLLUP. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="colocatedsortaggregate">ColocatedSortAggregate</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>The aggregate operation groups input data on one or more sets of grouping keys, calculating each aggregation function for each combination of grouping key. |
| Colocated aggregate assumes that the data is already distributed according to grouping keys, therefore aggregation can be completed locally in a single pass. |
| The sort aggregate operation leverages data ordered by the grouping expressions to calculate data each grouping set tuple-by-tuple in streaming fashion. |
| The output rows are composed as follows: first come columns participating in grouping keys in the order they enumerated in <code>group</code> attribute, then come results of accumulators in the order they enumerated in <code>aggregation</code> attribute.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>group</code>: Set of grouping columns.</p> |
| </li> |
| <li> |
| <p><code>aggregation</code>: List of accumulators.</p> |
| </li> |
| <li> |
| <p><code>collation</code>: List of columns and expected order of sorting this operator is rely on.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>groupSets</code>: List of group key definitions for advanced grouping, like CUBE or ROLLUP. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="maphashaggregate">MapHashAggregate</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>The aggregate operation groups input data on one or more sets of grouping keys, calculating each aggregation function for each combination of grouping key. |
| Map aggregate is a first phase of 2-phase aggregation. |
| During first phase, data is pre-aggregated, and result is sent to the where REDUCE is executed. |
| The hash aggregate operation maintains a hash table for each grouping set to coalesce equivalent tuples. |
| The output rows are composed as follows: first come columns participating in grouping keys in the order they enumerated in <code>group</code> attribute, then come results of accumulators in the order they enumerated in <code>aggregation</code> attribute.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>group</code>: Set of grouping columns.</p> |
| </li> |
| <li> |
| <p><code>aggregation</code>: List of accumulators.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>groupSets</code>: List of group key definitions for advanced grouping, like CUBE or ROLLUP. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="reducehashaggregate">ReduceHashAggregate</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>The aggregate operation groups input data on one or more sets of grouping keys, calculating each aggregation function for each combination of grouping key. |
| Reduce aggregate is a second phase of 2-phase aggregation. |
| During second phase, all pre-aggregated data is merged together, and final result is returned. |
| The hash aggregate operation maintains a hash table for each grouping set to coalesce equivalent tuples. |
| The output rows are composed as follows: first come columns participating in grouping keys in the order they enumerated in <code>group</code> attribute, then come results of accumulators in the order they enumerated in <code>aggregation</code> attribute.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>group</code>: Set of grouping columns.</p> |
| </li> |
| <li> |
| <p><code>aggregation</code>: List of accumulators.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>groupSets</code>: List of group key definitions for advanced grouping, like CUBE or ROLLUP. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="mapsortaggregate">MapSortAggregate</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>The aggregate operation groups input data on one or more sets of grouping keys, calculating each aggregation function for each combination of grouping key. |
| Map aggregate is a first phase of 2-phase aggregation. |
| During first phase, data is pre-aggregated, and result is sent to the where REDUCE is executed. |
| The sort aggregate operation leverages data ordered by the grouping expressions to calculate data each grouping set tuple-by-tuple in streaming fashion. |
| The output rows are composed as follows: first come columns participating in grouping keys in the order they enumerated in <code>group</code> attribute, then come results of accumulators in the order they enumerated in <code>aggregation</code> attribute.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>group</code>: Set of grouping columns.</p> |
| </li> |
| <li> |
| <p><code>aggregation</code>: List of accumulators.</p> |
| </li> |
| <li> |
| <p><code>collation</code>: List of columns and expected order of sorting this operator is rely on.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>groupSets</code>: List of group key definitions for advanced grouping, like CUBE or ROLLUP. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="reducesortaggregate">ReduceSortAggregate</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>The aggregate operation groups input data on one or more sets of grouping keys, calculating each aggregation function for each combination of grouping key. |
| Reduce aggregate is a second phase of 2-phase aggregation. |
| During second phase, all pre-aggregated data is merged together, and final result is returned. |
| The sort aggregate operation leverages data ordered by the grouping expressions to calculate data each grouping set tuple-by-tuple in streaming fashion. |
| The output rows are composed as follows: first come columns participating in grouping keys in the order they enumerated in <code>group</code> attribute, then come results of accumulators in the order they enumerated in <code>aggregation</code> attribute.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>group</code>: Set of grouping columns.</p> |
| </li> |
| <li> |
| <p><code>aggregation</code>: List of accumulators.</p> |
| </li> |
| <li> |
| <p><code>collation</code>: List of columns and expected order of sorting this operator is rely on.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>groupSets</code>: List of group key definitions for advanced grouping, like CUBE or ROLLUP. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="colocatedintersect">ColocatedIntersect</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Returns all records from the primary input that are present in every secondary input. |
| If <code>all</code> is <code>true</code>, then for each specific record returned, the output contains min(m, n1, n2, …, n) copies. |
| Otherwise duplicates are eliminated.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>all</code>: If <code>true</code>, then output may contains duplicates.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="colocatedminus">ColocatedMinus</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Returns all records from the primary input excluding any matching records from secondary inputs. |
| If <code>all</code> is <code>true</code>, then for each specific record returned, the output contains max(0, m - sum(n1, n2, …, n)) copies. |
| Otherwise duplicates are eliminated.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>all</code>: If <code>true</code>, then output may contain duplicates.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="mapintersect">MapIntersect</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Returns all records from the primary input that are present in every secondary input. |
| Map intersect is a first phase of 2-phase computation. |
| During first phase, data is pre-aggregated, and result is sent to the where REDUCE is executed.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>all</code>: If <code>true</code>, then output may contain duplicates.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="reduceintersect">ReduceIntersect</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Returns all records from the primary input that are present in every secondary input. |
| Reduce intersect is a second phase of 2-phase computation. |
| During second phase, all pre-aggregated data is merged together, and final result is returned. |
| If <code>all</code> is <code>true</code>, then for each specific record returned, the output contains min(m, n1, n2, …, n) copies. |
| Otherwise duplicates are eliminated.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>all</code>: If <code>true</code>, then output may contain duplicates.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="mapminus">MapMinus</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Returns all records from the primary input excluding any matching records from secondary inputs. |
| Map minus is a first phase of 2-phase computation. |
| During first phase, data is pre-aggregated, and result is sent to the where REDUCE is executed.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>all</code>: If <code>true</code>, then output may contain duplicates.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="reduceminus">ReduceMinus</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Returns all records from the primary input excluding any matching records from secondary inputs. |
| Reduce minus is a second phase of 2-phase computation. |
| During second phase, all pre-aggregated data is merged together, and final result is returned. |
| If <code>all</code> is <code>true</code>, then for each specific record returned, the output contains max(0, m - sum(n1, n2, …, n)) copies. |
| Otherwise duplicates are eliminated.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>all</code>: If <code>true</code>, then output may contain duplicates.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="unionall">UnionAll</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Concatenates results from multiple inputs without removing duplicates.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="exchange">Exchange</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Redistribute rows according to specified distribution.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>distribution</code>: A distribution strategy that describes how the rows are distributed across nodes. |
| Possible values are:</p> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>single</code>: a single copy of data is available at single node.</p> |
| </li> |
| <li> |
| <p><code>broadcast</code>: every participating node has the its own copy of all the data.</p> |
| </li> |
| <li> |
| <p><code>random</code>: single copy of data is partitioned and spread randomly across all participating nodes.</p> |
| </li> |
| <li> |
| <p><code>hash</code>: single copy of data is partitioned and spread across nodes based on system-defined hash function of specified columns.</p> |
| </li> |
| <li> |
| <p><code>table</code>: single copy of data is partitioned and spread across nodes with regard of distribution of specified table.</p> |
| </li> |
| <li> |
| <p><code>identity</code>: data is distributed with regard to value of specified column.</p> |
| </li> |
| </ul> |
| </div> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="trimexchange">TrimExchange</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Filters rows according to specified distribution. |
| This operator accept input that is broadcasted, i.e. every participating node has the its own copy of all the data, and applies a predicate such that output rows satisfy specified distribution.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>distribution</code>: A distribution strategy that describes how the rows are distributed across nodes. |
| Possible values are:</p> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>random</code>: single copy of data is partitioned and spread randomly across all participating nodes.</p> |
| </li> |
| <li> |
| <p><code>hash</code>: single copy of data is partitioned and spread across nodes based on system-defined hash function of specified columns.</p> |
| </li> |
| <li> |
| <p><code>table</code>: single copy of data is partitioned and spread across nodes with regard of distribution of specified table.</p> |
| </li> |
| </ul> |
| </div> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="filter">Filter</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Filters rows according to specified predicate conditions.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>predicate</code>: Filtering condition.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="hashjoin">HashJoin</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>The join operation will combine two separate inputs into a single output, based on a join expression. |
| The hash join operator will build a hash table out of right input based on a set of join keys. |
| It will then probe that hash table for the left input, finding matches.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>predicate</code>: A boolean condition that describes whether each row from the left set “match” the row from the right set.</p> |
| </li> |
| <li> |
| <p><code>type</code>: Type of the join (like INNER, LEFT, SEMI, etc).</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="mergejoin">MergeJoin</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>The join operation will combine two separate inputs into a single output, based on a join expression. |
| The merge join does a join by taking advantage of two sets that are sorted on the join keys. |
| This allows the join operation to be done in a streaming fashion.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>predicate</code>: A boolean condition that describes whether each row from the left set “match” the row from the right set.</p> |
| </li> |
| <li> |
| <p><code>type</code>: Type of the join (like INNER, LEFT, SEMI, etc).</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="nestedloopjoin">NestedLoopJoin</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>The join operation will combine two separate inputs into a single output, based on a join expression. |
| The nested loop join operator does a join by holding the entire right input and then iterating over it using the left input, evaluating the join expression on the Cartesian product of all rows, only outputting rows where the expression is true.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>predicate</code>: A boolean condition that describes whether each row from the left set “match” the row from the right set.</p> |
| </li> |
| <li> |
| <p><code>type</code>: Type of the join (like INNER, LEFT, SEMI, etc).</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="correlatednestedloopjoin">CorrelatedNestedLoopJoin</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>The join operation will combine two separate inputs into a single output, based on a join expression. |
| The correlated nested loop join operator does a join by setting correlated variables to a context based on a row from left input, and reevaluating the right input with updated context.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>correlates</code>: Set of correlated variables which are set by current relational operator.</p> |
| </li> |
| <li> |
| <p><code>predicate</code>: A boolean condition that describes whether each row from the left set “match” the row from the right set.</p> |
| </li> |
| <li> |
| <p><code>type</code>: Type of the join (like INNER, LEFT, SEMI, etc).</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="indexscan">IndexScan</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Scans rows using a specified index. |
| A <code>searchBounds</code> is used to specify boundaries of index scan or look up. |
| Hence, if it is not specified, all rows will be read. |
| A <code>predicate</code> is applied before <code>projection</code>. |
| If <code>projection</code> is not specified, then <code>fieldNames</code> enumerates columns returned from table.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>table</code>: Table being accessed.</p> |
| </li> |
| <li> |
| <p><code>searchBounds</code>: List of bounds representing boundaries of the range scan or point look up Optional.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>predicate</code>: Filtering condition. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>projection</code>: List of expressions to evaluate. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="tablescan">TableScan</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Scans all rows from a table. |
| A <code>predicate</code> is applied before <code>projection</code>. |
| If <code>projection</code> is not specified, then <code>fieldNames</code> enumerates columns returned from table.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>table</code>: Table being accessed.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>predicate</code>: Filtering condition. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>projection</code>: List of expressions to evaluate. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="keyvalueget">KeyValueGet</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Optimized operator which leverages Key-Value API in get-by-key queries.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>table</code>: Table being accessed.</p> |
| </li> |
| <li> |
| <p><code>key</code>: Key expression to do look up.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>predicate</code>: Filtering condition. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>projection</code>: List of expressions to evaluate. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="keyvaluemodify">KeyValueModify</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Optimized operator which leverages Key-Value API in DML queries.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>table</code>: Table being accessed.</p> |
| </li> |
| <li> |
| <p><code>type</code>: Type of data modification operation (e.g., INSERT, UPDATE, DELETE).</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>sourceExpression</code>: Source expressions used for row computations for INSERT operation. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>key</code>: Source expressions used for row computations for DELETE operation. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="limit">Limit</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Limits the number of returned rows, with optional offset.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fetch</code>: Maximum number of rows to return. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>offset</code>: Number of rows to skip. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="project">Project</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Projects specified expressions or columns from the input.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes: |
| - <code>projection</code>: List of expressions to evaluate. |
| - <code>est</code>: Estimated number of output rows. |
| - <code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="receiver">Receiver</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Receives data sent by a <code>Sender</code> during distributed query execution.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>sourceFragmentId</code>: An identifier of source fragment, indicating the origin of a data flow edge between fragments.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="sender">Sender</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Sends data to a <code>Receiver</code> during distributed query execution.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>targetFragmentId</code>: An identifier of target fragment, indicating the origin of a data flow edge between fragments.</p> |
| </li> |
| <li> |
| <p><code>distribution</code>: A distribution strategy that describes how the rows are distributed across nodes. |
| Possible values are:</p> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>single</code>: a single copy of data is available at single node.</p> |
| </li> |
| <li> |
| <p><code>broadcast</code>: every participating node has the its own copy of all the data.</p> |
| </li> |
| <li> |
| <p><code>random</code>: single copy of data is partitioned and spread randomly across all participating nodes.</p> |
| </li> |
| <li> |
| <p><code>hash</code>: single copy of data is partitioned and spread across nodes based on system-defined hash function of specified columns.</p> |
| </li> |
| <li> |
| <p><code>table</code>: single copy of data is partitioned and spread across nodes with regard of distribution of specified table.</p> |
| </li> |
| <li> |
| <p><code>identity</code>: data is distributed with regard to value of specified column.</p> |
| </li> |
| </ul> |
| </div> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="selectcount">SelectCount</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Optimized operator for various non-transactional <code>SELECT COUNT(*)</code> variations of queries.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>table</code>: Table being accessed.</p> |
| </li> |
| <li> |
| <p><code>projection</code>: List of expressions to evaluate.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="sort">Sort</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Sorts rows based on specified collation. |
| If <code>fetch</code> attribute is provided, then <code>Sort</code> node implements Top-N semantic, implying that only <code>fetch</code> + <code>offset</code> rows will be stored in memory during sorting phase.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>collation</code>: List of one or more fields to sort by.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fetch</code>: Maximum number of rows to return. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>offset</code>: Number of rows to skip. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="systemviewscan">SystemViewScan</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Scans all rows from a system view. |
| A <code>predicate</code> is applied before <code>projection</code>. |
| If <code>projection</code> is not specified, then <code>fieldNames</code> enumerates columns returned from system view.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>table</code>: System view being accessed.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>predicate</code>: Filtering condition. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>projection</code>: List of expressions to evaluate. |
| Optional.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="tablefunctionscan">TableFunctionScan</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Scans over a function producing result set.</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>invocation</code>: Name of the function producing source result set.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="tablemodify">TableModify</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Applies DML operations on a table (INSERT, UPDATE, DELETE).</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>table</code>: Table being accessed.</p> |
| </li> |
| <li> |
| <p><code>type</code>: Type of data modification operation (e.g., INSERT, UPDATE, DELETE).</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="sect1"> |
| <h2 id="values">Values</h2> |
| <div class="sectionbody"> |
| <div class="paragraph"> |
| <p>Produces literal in-memory rows as input (e.g., <code>VALUES (1), (2)</code>).</p> |
| </div> |
| <div class="paragraph"> |
| <p>Attributes:</p> |
| </div> |
| <div class="ulist"> |
| <ul> |
| <li> |
| <p><code>tuples</code>: List of literal tuples to return.</p> |
| </li> |
| <li> |
| <p><code>est</code>: Estimated number of output rows.</p> |
| </li> |
| <li> |
| <p><code>fieldNames</code>: List of names of columns in produced rows. |
| Optional.</p> |
| </li> |
| </ul> |
| </div> |
| </div> |
| </div> |
| <div class="copyright"> |
| © 2025 The Apache Software Foundation.<br/> |
| Apache, Apache Ignite, the Apache feather and the Apache Ignite logo are either registered trademarks or trademarks of The Apache Software Foundation. |
| |
| </div> |
| |
| </article> |
| <nav class="right-nav" data-swiftype-index='false'> |
| <div class="toc-wrapper"> |
| <ul class="sectlevel1"> |
| <li><a href="#colocatedhashaggregate">ColocatedHashAggregate</a></li> |
| <li><a href="#colocatedsortaggregate">ColocatedSortAggregate</a></li> |
| <li><a href="#maphashaggregate">MapHashAggregate</a></li> |
| <li><a href="#reducehashaggregate">ReduceHashAggregate</a></li> |
| <li><a href="#mapsortaggregate">MapSortAggregate</a></li> |
| <li><a href="#reducesortaggregate">ReduceSortAggregate</a></li> |
| <li><a href="#colocatedintersect">ColocatedIntersect</a></li> |
| <li><a href="#colocatedminus">ColocatedMinus</a></li> |
| <li><a href="#mapintersect">MapIntersect</a></li> |
| <li><a href="#reduceintersect">ReduceIntersect</a></li> |
| <li><a href="#mapminus">MapMinus</a></li> |
| <li><a href="#reduceminus">ReduceMinus</a></li> |
| <li><a href="#unionall">UnionAll</a></li> |
| <li><a href="#exchange">Exchange</a></li> |
| <li><a href="#trimexchange">TrimExchange</a></li> |
| <li><a href="#filter">Filter</a></li> |
| <li><a href="#hashjoin">HashJoin</a></li> |
| <li><a href="#mergejoin">MergeJoin</a></li> |
| <li><a href="#nestedloopjoin">NestedLoopJoin</a></li> |
| <li><a href="#correlatednestedloopjoin">CorrelatedNestedLoopJoin</a></li> |
| <li><a href="#indexscan">IndexScan</a></li> |
| <li><a href="#tablescan">TableScan</a></li> |
| <li><a href="#keyvalueget">KeyValueGet</a></li> |
| <li><a href="#keyvaluemodify">KeyValueModify</a></li> |
| <li><a href="#limit">Limit</a></li> |
| <li><a href="#project">Project</a></li> |
| <li><a href="#receiver">Receiver</a></li> |
| <li><a href="#sender">Sender</a></li> |
| <li><a href="#selectcount">SelectCount</a></li> |
| <li><a href="#sort">Sort</a></li> |
| <li><a href="#systemviewscan">SystemViewScan</a></li> |
| <li><a href="#tablefunctionscan">TableFunctionScan</a></li> |
| <li><a href="#tablemodify">TableModify</a></li> |
| <li><a href="#values">Values</a></li> |
| </ul> |
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