mirror of https://github.com/apache/druid.git
Operator conversion deny list (#13766)
### Description This change adds a new config property `druid.sql.planner.operatorConversion.denyList`, which allows a user to specify any operator conversions that they wish to disallow. A user may want to do this for a number of reasons, including security concerns. The default value of this property is the empty list `[]`, which does not disallow any operator conversions. An example usage of this property is `druid.sql.planner.operatorConversion.denyList=["extern"]`, which disallows the usage of the `extern` operator conversion. If the property is configured this way, and a user of the Druid cluster tries to submit a query that uses the `extern` function, such as the example given [here](https://druid.apache.org/docs/latest/multi-stage-query/examples.html#insert-with-no-rollup), a response with http response code `400` is returned with en error body similar to the following: ``` { "taskId": "4ec5b0b6-fa9b-4c3a-827d-2308294e9985", "state": "FAILED", "error": { "error": "Plan validation failed", "errorMessage": "org.apache.calcite.runtime.CalciteContextException: From line 28, column 5 to line 32, column 5: No match found for function signature EXTERN(<CHARACTER>, <CHARACTER>, <CHARACTER>)", "errorClass": "org.apache.calcite.tools.ValidationException", "host": null } } ```
This commit is contained in:
parent
477bc424d9
commit
38e620aa4c
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@ -54,6 +54,7 @@ import org.apache.druid.sql.calcite.planner.DruidOperatorTable;
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import org.apache.druid.sql.calcite.planner.DruidPlanner;
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import org.apache.druid.sql.calcite.planner.DruidPlanner;
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import org.apache.druid.sql.calcite.planner.PlannerConfig;
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import org.apache.druid.sql.calcite.planner.PlannerConfig;
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import org.apache.druid.sql.calcite.planner.PlannerFactory;
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import org.apache.druid.sql.calcite.planner.PlannerFactory;
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import org.apache.druid.sql.calcite.planner.PlannerOperatorConfig;
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import org.apache.druid.sql.calcite.planner.PlannerResult;
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import org.apache.druid.sql.calcite.planner.PlannerResult;
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import org.apache.druid.sql.calcite.run.SqlEngine;
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import org.apache.druid.sql.calcite.run.SqlEngine;
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import org.apache.druid.sql.calcite.schema.DruidSchemaCatalog;
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import org.apache.druid.sql.calcite.schema.DruidSchemaCatalog;
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@ -530,7 +531,7 @@ public class SqlBenchmark
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new ApproxCountDistinctSqlAggregator(new HllSketchApproxCountDistinctSqlAggregator());
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new ApproxCountDistinctSqlAggregator(new HllSketchApproxCountDistinctSqlAggregator());
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aggregators.add(new CountSqlAggregator(countDistinctSqlAggregator));
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aggregators.add(new CountSqlAggregator(countDistinctSqlAggregator));
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aggregators.add(countDistinctSqlAggregator);
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aggregators.add(countDistinctSqlAggregator);
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return new DruidOperatorTable(aggregators, extractionOperators);
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return new DruidOperatorTable(aggregators, extractionOperators, PlannerOperatorConfig.newInstance(null));
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}
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}
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catch (Exception e) {
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catch (Exception e) {
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throw new RuntimeException(e);
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throw new RuntimeException(e);
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@ -1921,6 +1921,7 @@ The Druid SQL server is configured through the following properties on the Broke
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|`druid.sql.planner.authorizeSystemTablesDirectly`|If true, Druid authorizes queries against any of the system schema tables (`sys` in SQL) as `SYSTEM_TABLE` resources which require `READ` access, in addition to permissions based content filtering.|false|
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|`druid.sql.planner.authorizeSystemTablesDirectly`|If true, Druid authorizes queries against any of the system schema tables (`sys` in SQL) as `SYSTEM_TABLE` resources which require `READ` access, in addition to permissions based content filtering.|false|
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|`druid.sql.planner.useNativeQueryExplain`|If true, `EXPLAIN PLAN FOR` will return the explain plan as a JSON representation of equivalent native query(s), else it will return the original version of explain plan generated by Calcite. It can be overridden per query with `useNativeQueryExplain` context key.|true|
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|`druid.sql.planner.useNativeQueryExplain`|If true, `EXPLAIN PLAN FOR` will return the explain plan as a JSON representation of equivalent native query(s), else it will return the original version of explain plan generated by Calcite. It can be overridden per query with `useNativeQueryExplain` context key.|true|
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|`druid.sql.planner.maxNumericInFilters`|Max limit for the amount of numeric values that can be compared for a string type dimension when the entire SQL WHERE clause of a query translates to an [OR](../querying/filters.md#or) of [Bound filter](../querying/filters.md#bound-filter). By default, Druid does not restrict the amount of numeric Bound Filters on String columns, although this situation may block other queries from running. Set this property to a smaller value to prevent Druid from running queries that have prohibitively long segment processing times. The optimal limit requires some trial and error; we recommend starting with 100. Users who submit a query that exceeds the limit of `maxNumericInFilters` should instead rewrite their queries to use strings in the `WHERE` clause instead of numbers. For example, `WHERE someString IN (‘123’, ‘456’)`. If this value is disabled, `maxNumericInFilters` set through query context is ignored.|`-1` (disabled)|
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|`druid.sql.planner.maxNumericInFilters`|Max limit for the amount of numeric values that can be compared for a string type dimension when the entire SQL WHERE clause of a query translates to an [OR](../querying/filters.md#or) of [Bound filter](../querying/filters.md#bound-filter). By default, Druid does not restrict the amount of numeric Bound Filters on String columns, although this situation may block other queries from running. Set this property to a smaller value to prevent Druid from running queries that have prohibitively long segment processing times. The optimal limit requires some trial and error; we recommend starting with 100. Users who submit a query that exceeds the limit of `maxNumericInFilters` should instead rewrite their queries to use strings in the `WHERE` clause instead of numbers. For example, `WHERE someString IN (‘123’, ‘456’)`. If this value is disabled, `maxNumericInFilters` set through query context is ignored.|`-1` (disabled)|
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|`druid.sql.planner.operator.denyList`|The list of operators that should be denied.|`[]` (no operators are disallowed)|
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|`druid.sql.approxCountDistinct.function`|Implementation to use for the [`APPROX_COUNT_DISTINCT` function](../querying/sql-aggregations.md). Without extensions loaded, the only valid value is `APPROX_COUNT_DISTINCT_BUILTIN` (a HyperLogLog, or HLL, based implementation). If the [DataSketches extension](../development/extensions-core/datasketches-extension.md) is loaded, this can also be `APPROX_COUNT_DISTINCT_DS_HLL` (alternative HLL implementation) or `APPROX_COUNT_DISTINCT_DS_THETA`.<br /><br />Theta sketches use significantly more memory than HLL sketches, so you should prefer one of the two HLL implementations.|APPROX_COUNT_DISTINCT_BUILTIN|
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|`druid.sql.approxCountDistinct.function`|Implementation to use for the [`APPROX_COUNT_DISTINCT` function](../querying/sql-aggregations.md). Without extensions loaded, the only valid value is `APPROX_COUNT_DISTINCT_BUILTIN` (a HyperLogLog, or HLL, based implementation). If the [DataSketches extension](../development/extensions-core/datasketches-extension.md) is loaded, this can also be `APPROX_COUNT_DISTINCT_DS_HLL` (alternative HLL implementation) or `APPROX_COUNT_DISTINCT_DS_THETA`.<br /><br />Theta sketches use significantly more memory than HLL sketches, so you should prefer one of the two HLL implementations.|APPROX_COUNT_DISTINCT_BUILTIN|
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> Previous versions of Druid had properties named `druid.sql.planner.maxQueryCount` and `druid.sql.planner.maxSemiJoinRowsInMemory`.
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> Previous versions of Druid had properties named `druid.sql.planner.maxQueryCount` and `druid.sql.planner.maxSemiJoinRowsInMemory`.
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@ -40,6 +40,7 @@ public class CalcitePlannerModule implements Module
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// We're actually binding the class to the config prefix, not the other way around.
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// We're actually binding the class to the config prefix, not the other way around.
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JsonConfigProvider.bind(binder, "druid.sql.planner", PlannerConfig.class);
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JsonConfigProvider.bind(binder, "druid.sql.planner", PlannerConfig.class);
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JsonConfigProvider.bind(binder, "druid.sql.planner", SegmentMetadataCacheConfig.class);
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JsonConfigProvider.bind(binder, "druid.sql.planner", SegmentMetadataCacheConfig.class);
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JsonConfigProvider.bind(binder, PlannerOperatorConfig.CONFIG_PATH, PlannerOperatorConfig.class);
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binder.bind(PlannerFactory.class).in(LazySingleton.class);
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binder.bind(PlannerFactory.class).in(LazySingleton.class);
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binder.bind(DruidOperatorTable.class).in(LazySingleton.class);
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binder.bind(DruidOperatorTable.class).in(LazySingleton.class);
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Multibinder.newSetBinder(binder, ExtensionCalciteRuleProvider.class);
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Multibinder.newSetBinder(binder, ExtensionCalciteRuleProvider.class);
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@ -21,6 +21,7 @@ package org.apache.druid.sql.calcite.planner;
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import com.google.common.base.Preconditions;
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import com.google.common.base.Preconditions;
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import com.google.common.collect.ImmutableList;
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import com.google.common.collect.ImmutableList;
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import com.google.common.collect.ImmutableSet;
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import com.google.inject.Inject;
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import com.google.inject.Inject;
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import org.apache.calcite.sql.SqlAggFunction;
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import org.apache.calcite.sql.SqlAggFunction;
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import org.apache.calcite.sql.SqlFunctionCategory;
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import org.apache.calcite.sql.SqlFunctionCategory;
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@ -32,6 +33,7 @@ import org.apache.calcite.sql.fun.SqlStdOperatorTable;
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import org.apache.calcite.sql.validate.SqlNameMatcher;
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import org.apache.calcite.sql.validate.SqlNameMatcher;
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import org.apache.druid.java.util.common.ISE;
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import org.apache.druid.java.util.common.ISE;
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import org.apache.druid.java.util.common.StringUtils;
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import org.apache.druid.java.util.common.StringUtils;
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import org.apache.druid.java.util.common.logger.Logger;
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import org.apache.druid.sql.calcite.aggregation.SqlAggregator;
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import org.apache.druid.sql.calcite.aggregation.SqlAggregator;
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import org.apache.druid.sql.calcite.aggregation.builtin.ArrayConcatSqlAggregator;
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import org.apache.druid.sql.calcite.aggregation.builtin.ArrayConcatSqlAggregator;
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import org.apache.druid.sql.calcite.aggregation.builtin.ArraySqlAggregator;
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import org.apache.druid.sql.calcite.aggregation.builtin.ArraySqlAggregator;
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@ -133,6 +135,7 @@ import java.util.stream.Collectors;
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public class DruidOperatorTable implements SqlOperatorTable
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public class DruidOperatorTable implements SqlOperatorTable
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{
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{
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private static final Logger LOG = new Logger(DruidOperatorTable.class);
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// COUNT and APPROX_COUNT_DISTINCT are not here because they are added by SqlAggregationModule.
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// COUNT and APPROX_COUNT_DISTINCT are not here because they are added by SqlAggregationModule.
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private static final List<SqlAggregator> STANDARD_AGGREGATORS =
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private static final List<SqlAggregator> STANDARD_AGGREGATORS =
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ImmutableList.<SqlAggregator>builder()
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ImmutableList.<SqlAggregator>builder()
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@ -415,11 +418,13 @@ public class DruidOperatorTable implements SqlOperatorTable
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@Inject
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@Inject
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public DruidOperatorTable(
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public DruidOperatorTable(
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final Set<SqlAggregator> aggregators,
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final Set<SqlAggregator> aggregators,
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final Set<SqlOperatorConversion> operatorConversions
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final Set<SqlOperatorConversion> operatorConversions,
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final PlannerOperatorConfig plannerOperatorConfig
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)
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)
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{
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{
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this.aggregators = new HashMap<>();
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this.aggregators = new HashMap<>();
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this.operatorConversions = new HashMap<>();
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this.operatorConversions = new HashMap<>();
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Set<String> operationConversionDenySet = ImmutableSet.copyOf(plannerOperatorConfig.getDenyList());
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for (SqlAggregator aggregator : aggregators) {
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for (SqlAggregator aggregator : aggregators) {
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final OperatorKey operatorKey = OperatorKey.of(aggregator.calciteFunction());
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final OperatorKey operatorKey = OperatorKey.of(aggregator.calciteFunction());
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@ -437,6 +442,12 @@ public class DruidOperatorTable implements SqlOperatorTable
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for (SqlOperatorConversion operatorConversion : operatorConversions) {
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for (SqlOperatorConversion operatorConversion : operatorConversions) {
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final OperatorKey operatorKey = OperatorKey.of(operatorConversion.calciteOperator());
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final OperatorKey operatorKey = OperatorKey.of(operatorConversion.calciteOperator());
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if (operationConversionDenySet.contains(operatorKey.name)) {
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LOG.info(
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"Operator %s is not available as it is in the deny list.",
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operatorKey.name);
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continue;
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}
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if (this.aggregators.containsKey(operatorKey)
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if (this.aggregators.containsKey(operatorKey)
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|| this.operatorConversions.put(operatorKey, operatorConversion) != null) {
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|| this.operatorConversions.put(operatorKey, operatorConversion) != null) {
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throw new ISE("Cannot have two operators with key [%s]", operatorKey);
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throw new ISE("Cannot have two operators with key [%s]", operatorKey);
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@ -0,0 +1,76 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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package org.apache.druid.sql.calcite.planner;
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import com.fasterxml.jackson.annotation.JsonProperty;
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import com.google.common.collect.ImmutableList;
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import javax.validation.constraints.NotNull;
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import java.util.List;
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import java.util.Objects;
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public class PlannerOperatorConfig
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{
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public static final String CONFIG_PATH = "druid.sql.planner.operator";
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@JsonProperty
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private List<String> denyList;
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@NotNull
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public List<String> getDenyList()
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{
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return denyList == null ? ImmutableList.of() : denyList;
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}
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@Override
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public boolean equals(final Object o)
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{
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if (this == o) {
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return true;
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}
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if (o == null || getClass() != o.getClass()) {
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return false;
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}
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final PlannerOperatorConfig that = (PlannerOperatorConfig) o;
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return denyList.equals(that.denyList);
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}
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@Override
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public int hashCode()
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{
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return Objects.hash(denyList);
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}
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@Override
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public String toString()
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{
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return "PlannerOperatorConfig{" +
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"denyList=" + denyList +
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'}';
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}
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public static PlannerOperatorConfig newInstance(List<String> denyList)
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{
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PlannerOperatorConfig config = new PlannerOperatorConfig();
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config.denyList = denyList;
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return config;
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}
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}
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@ -0,0 +1,113 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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package org.apache.druid.sql.calcite.planner;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.google.common.collect.ImmutableList;
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import com.google.common.collect.ImmutableSet;
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import org.apache.druid.catalog.model.TableDefnRegistry;
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import org.apache.druid.sql.calcite.expression.SqlOperatorConversion;
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import org.apache.druid.sql.calcite.external.ExternalOperatorConversion;
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import org.apache.druid.sql.calcite.external.HttpOperatorConversion;
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import org.apache.druid.sql.calcite.external.InlineOperatorConversion;
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import org.apache.druid.sql.calcite.external.LocalOperatorConversion;
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import org.junit.Assert;
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import org.junit.Test;
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public class DruidOperatorTableTest
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{
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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private final TableDefnRegistry tableDefnRegistry = new TableDefnRegistry(OBJECT_MAPPER);
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private DruidOperatorTable operatorTable;
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@Test
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public void test_operatorTable_with_operatorConversionDenyList_deniedConversionsUnavailable()
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{
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final ExternalOperatorConversion externalOperatorConversion =
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new ExternalOperatorConversion(OBJECT_MAPPER);
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final HttpOperatorConversion httpOperatorConversion =
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new HttpOperatorConversion(tableDefnRegistry);
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final InlineOperatorConversion inlineOperatorConversion =
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new InlineOperatorConversion(tableDefnRegistry);
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final LocalOperatorConversion localOperatorConversion =
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new LocalOperatorConversion(tableDefnRegistry);
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operatorTable = new DruidOperatorTable(
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ImmutableSet.of(),
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ImmutableSet.of(
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externalOperatorConversion,
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httpOperatorConversion,
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inlineOperatorConversion,
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localOperatorConversion
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),
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PlannerOperatorConfig.newInstance(ImmutableList.of("extern", "http", "inline", "localfiles"))
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);
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SqlOperatorConversion operatorConversion =
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operatorTable.lookupOperatorConversion(externalOperatorConversion.calciteOperator());
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Assert.assertNull(operatorConversion);
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operatorConversion = operatorTable.lookupOperatorConversion(httpOperatorConversion.calciteOperator());
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Assert.assertNull(operatorConversion);
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operatorConversion = operatorTable.lookupOperatorConversion(inlineOperatorConversion.calciteOperator());
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Assert.assertNull(operatorConversion);
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operatorConversion = operatorTable.lookupOperatorConversion(localOperatorConversion.calciteOperator());
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Assert.assertNull(operatorConversion);
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}
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@Test
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public void test_operatorTable_with_emptyOperatorConversionDenyList_conversionsAavailable()
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{
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final ExternalOperatorConversion externalOperatorConversion =
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new ExternalOperatorConversion(OBJECT_MAPPER);
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final HttpOperatorConversion httpOperatorConversion =
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new HttpOperatorConversion(tableDefnRegistry);
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final InlineOperatorConversion inlineOperatorConversion =
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new InlineOperatorConversion(tableDefnRegistry);
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|
final LocalOperatorConversion localOperatorConversion =
|
||||||
|
new LocalOperatorConversion(tableDefnRegistry);
|
||||||
|
operatorTable = new DruidOperatorTable(
|
||||||
|
ImmutableSet.of(),
|
||||||
|
ImmutableSet.of(
|
||||||
|
externalOperatorConversion,
|
||||||
|
httpOperatorConversion,
|
||||||
|
inlineOperatorConversion,
|
||||||
|
localOperatorConversion
|
||||||
|
),
|
||||||
|
PlannerOperatorConfig.newInstance(null)
|
||||||
|
);
|
||||||
|
|
||||||
|
SqlOperatorConversion operatorConversion =
|
||||||
|
operatorTable.lookupOperatorConversion(externalOperatorConversion.calciteOperator());
|
||||||
|
Assert.assertEquals(externalOperatorConversion, operatorConversion);
|
||||||
|
|
||||||
|
operatorConversion = operatorTable.lookupOperatorConversion(httpOperatorConversion.calciteOperator());
|
||||||
|
Assert.assertEquals(httpOperatorConversion, operatorConversion);
|
||||||
|
|
||||||
|
operatorConversion = operatorTable.lookupOperatorConversion(inlineOperatorConversion.calciteOperator());
|
||||||
|
Assert.assertEquals(inlineOperatorConversion, operatorConversion);
|
||||||
|
|
||||||
|
operatorConversion = operatorTable.lookupOperatorConversion(localOperatorConversion.calciteOperator());
|
||||||
|
Assert.assertEquals(localOperatorConversion, operatorConversion);
|
||||||
|
}
|
||||||
|
}
|
|
@ -83,7 +83,8 @@ public class DruidRexExecutorTest extends InitializedNullHandlingTest
|
||||||
"SELECT 1", // The actual query isn't important for this test
|
"SELECT 1", // The actual query isn't important for this test
|
||||||
new DruidOperatorTable(
|
new DruidOperatorTable(
|
||||||
Collections.emptySet(),
|
Collections.emptySet(),
|
||||||
ImmutableSet.of(new DirectOperatorConversion(OPERATOR, "hyper_unique"))
|
ImmutableSet.of(new DirectOperatorConversion(OPERATOR, "hyper_unique")),
|
||||||
|
PlannerOperatorConfig.newInstance(null)
|
||||||
),
|
),
|
||||||
CalciteTests.createExprMacroTable(),
|
CalciteTests.createExprMacroTable(),
|
||||||
CalciteTests.getJsonMapper(),
|
CalciteTests.getJsonMapper(),
|
||||||
|
|
|
@ -0,0 +1,34 @@
|
||||||
|
/*
|
||||||
|
* Licensed to the Apache Software Foundation (ASF) under one
|
||||||
|
* or more contributor license agreements. See the NOTICE file
|
||||||
|
* distributed with this work for additional information
|
||||||
|
* regarding copyright ownership. The ASF licenses this file
|
||||||
|
* to you under the Apache License, Version 2.0 (the
|
||||||
|
* "License"); you may not use this file except in compliance
|
||||||
|
* with the License. You may obtain a copy of the License at
|
||||||
|
*
|
||||||
|
* http://www.apache.org/licenses/LICENSE-2.0
|
||||||
|
*
|
||||||
|
* Unless required by applicable law or agreed to in writing,
|
||||||
|
* software distributed under the License is distributed on an
|
||||||
|
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
|
||||||
|
* KIND, either express or implied. See the License for the
|
||||||
|
* specific language governing permissions and limitations
|
||||||
|
* under the License.
|
||||||
|
*/
|
||||||
|
|
||||||
|
package org.apache.druid.sql.calcite.planner;
|
||||||
|
|
||||||
|
import nl.jqno.equalsverifier.EqualsVerifier;
|
||||||
|
import org.junit.Test;
|
||||||
|
|
||||||
|
public class PlannerOperatorConfigTest
|
||||||
|
{
|
||||||
|
@Test
|
||||||
|
public void testEquals()
|
||||||
|
{
|
||||||
|
EqualsVerifier.simple().forClass(PlannerOperatorConfig.class)
|
||||||
|
.usingGetClass()
|
||||||
|
.verify();
|
||||||
|
}
|
||||||
|
}
|
Loading…
Reference in New Issue