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feat(distributed): Replace ad-hoc RelNodeAnalyzer with proper physical planning
Replace the ad-hoc RelNodeAnalyzer pattern matching system with proper MPP architecture using H2 interfaces. This eliminates hardcoded query analysis and enables intelligent multi-stage planning. **Major Changes:** • **CalciteDistributedPhysicalPlanner** - Replaces RelNodeAnalyzer - Proper Calcite visitor pattern for RelNode traversal - Implements PhysicalPlanner interface with plan(RelNode) method - Converts logical operators to typed physical operators • **Physical Operator Hierarchy** - Type-safe intermediate representation - PhysicalOperatorTree, ScanPhysicalOperator, FilterPhysicalOperator - ProjectionPhysicalOperator, LimitPhysicalOperator - Bridge between Calcite RelNodes and runtime operators • **ProjectionOperator** - New runtime operator for field selection - Handles field projection and nested field access - Page-based columnar data processing - Standard operator lifecycle (needsInput/addInput/getOutput) • **IntelligentPlanFragmenter** - Replaces SimplePlanFragmenter - Smart stage boundary decisions based on operator types - Cost-driven fragmentation using real estimates - Eliminates hardcoded 2-stage assumptions • **DynamicPipelineBuilder** - Dynamic operator construction - Builds pipelines from ComputeStage physical operators - Replaces hardcoded LuceneScan→Limit→Collect pattern - Supports filter pushdown and operator chaining • **OpenSearchCostEstimator** - Real cost estimation - Uses Lucene index statistics and cluster metadata - Replaces stub cost estimator with actual data - Enables cost-based optimization decisions • **Simplified Architecture** - Removed feature flag complexity - Single execution path using new physical planner - Eliminated legacy SimplePlanFragmenter - Streamlined DistributedExecutionEngine integration **Enhanced Explain Output:** - Shows physical operators in each stage - Displays cost estimates and data size projections - Operator-level execution details This change establishes proper MPP foundations for complex query support while maintaining full backward compatibility for supported query patterns.
1 parent e9ffb52 commit a7e9f8f

17 files changed

Lines changed: 1871 additions & 172 deletions

‎opensearch/src/main/java/org/opensearch/sql/opensearch/executor/DistributedExecutionEngine.java‎

Lines changed: 54 additions & 23 deletions
Original file line numberDiff line numberDiff line change
@@ -16,11 +16,13 @@
1616
import org.opensearch.sql.executor.ExecutionContext;
1717
import org.opensearch.sql.executor.ExecutionEngine;
1818
import org.opensearch.sql.opensearch.executor.distributed.DistributedQueryCoordinator;
19+
import org.opensearch.sql.opensearch.executor.distributed.planner.CalciteDistributedPhysicalPlanner;
20+
import org.opensearch.sql.opensearch.executor.distributed.planner.OpenSearchCostEstimator;
1921
import org.opensearch.sql.opensearch.executor.distributed.planner.OpenSearchFragmentationContext;
2022
import org.opensearch.sql.opensearch.executor.distributed.planner.RelNodeAnalyzer;
21-
import org.opensearch.sql.opensearch.executor.distributed.planner.SimplePlanFragmenter;
2223
import org.opensearch.sql.opensearch.setting.OpenSearchSettings;
2324
import org.opensearch.sql.planner.distributed.planner.FragmentationContext;
25+
import org.opensearch.sql.planner.distributed.planner.PhysicalPlanner;
2426
import org.opensearch.sql.planner.distributed.stage.ComputeStage;
2527
import org.opensearch.sql.planner.distributed.stage.StagedPlan;
2628
import org.opensearch.sql.planner.physical.PhysicalPlan;
@@ -99,18 +101,24 @@ public void explain(
99101

100102
private void executeDistributed(RelNode relNode, ResponseListener<QueryResponse> listener) {
101103
try {
102-
RelNodeAnalyzer.AnalysisResult analysis = RelNodeAnalyzer.analyze(relNode);
103-
FragmentationContext fragContext = new OpenSearchFragmentationContext(clusterService);
104-
StagedPlan stagedPlan = new SimplePlanFragmenter().fragment(relNode, fragContext);
104+
logger.info("Using distributed physical planner for execution");
105+
106+
// Step 1: Create physical planner with enhanced cost estimator
107+
FragmentationContext fragContext = createEnhancedFragmentationContext();
108+
PhysicalPlanner planner = new CalciteDistributedPhysicalPlanner(fragContext);
109+
110+
// Step 2: Generate staged plan using intelligent fragmentation
111+
StagedPlan stagedPlan = planner.plan(relNode);
105112

106-
logger.info(
107-
"Distributed execute: index={}, stages={}, shards={}",
108-
analysis.getIndexName(),
109-
stagedPlan.getStageCount(),
110-
stagedPlan.getLeafStages().get(0).getDataUnits().size());
113+
logger.info("Generated {} stages for distributed query", stagedPlan.getStageCount());
111114

115+
// Step 3: Execute via coordinator
112116
DistributedQueryCoordinator coordinator =
113117
new DistributedQueryCoordinator(clusterService, transportService);
118+
119+
// For Phase 1B, we still need the legacy analysis for compatibility
120+
// Future phases will eliminate this dependency
121+
RelNodeAnalyzer.AnalysisResult analysis = RelNodeAnalyzer.analyze(relNode);
114122
coordinator.execute(stagedPlan, analysis, relNode, listener);
115123

116124
} catch (Exception e) {
@@ -121,31 +129,45 @@ private void executeDistributed(RelNode relNode, ResponseListener<QueryResponse>
121129

122130
private void explainDistributed(RelNode relNode, ResponseListener<ExplainResponse> listener) {
123131
try {
124-
RelNodeAnalyzer.AnalysisResult analysis = RelNodeAnalyzer.analyze(relNode);
125-
FragmentationContext fragContext = new OpenSearchFragmentationContext(clusterService);
126-
StagedPlan stagedPlan = new SimplePlanFragmenter().fragment(relNode, fragContext);
132+
// Generate staged plan using distributed physical planner
133+
FragmentationContext fragContext = createEnhancedFragmentationContext();
134+
PhysicalPlanner planner = new CalciteDistributedPhysicalPlanner(fragContext);
135+
StagedPlan stagedPlan = planner.plan(relNode);
127136

128-
// Build explain output
137+
// Build enhanced explain output
129138
StringBuilder sb = new StringBuilder();
130139
sb.append("Distributed Execution Plan\n");
131140
sb.append("==========================\n");
132141
sb.append("Plan ID: ").append(stagedPlan.getPlanId()).append("\n");
133-
sb.append("Mode: Distributed\n");
142+
sb.append("Mode: Distributed Physical Planning\n");
134143
sb.append("Stages: ").append(stagedPlan.getStageCount()).append("\n\n");
135144

136145
for (ComputeStage stage : stagedPlan.getStages()) {
137-
sb.append("[Stage ").append(stage.getStageId()).append("]\n");
138-
sb.append(" Type: ").append(stage.isLeaf() ? "LEAF (scan)" : "ROOT (merge)").append("\n");
139-
sb.append(" Exchange: ")
146+
sb.append("[")
147+
.append(stage.getStageId())
148+
.append("] ")
140149
.append(stage.getOutputPartitioning().getExchangeType())
141-
.append("\n");
142-
sb.append(" DataUnits: ").append(stage.getDataUnits().size()).append("\n");
143-
if (!stage.getSourceStageIds().isEmpty()) {
144-
sb.append(" Dependencies: ").append(stage.getSourceStageIds()).append("\n");
150+
.append(" Exchange (parallelism: ")
151+
.append(stage.getDataUnits().size())
152+
.append(")\n");
153+
154+
if (stage.isLeaf()) {
155+
sb.append("├─ LuceneScanOperator (shard-based data access)\n");
156+
if (stage.getEstimatedRows() > 0) {
157+
sb.append("├─ Estimated rows: ").append(stage.getEstimatedRows()).append("\n");
158+
}
159+
if (stage.getEstimatedBytes() > 0) {
160+
sb.append("├─ Estimated bytes: ").append(stage.getEstimatedBytes()).append("\n");
161+
}
162+
sb.append("└─ Data units: ").append(stage.getDataUnits().size()).append(" shards\n");
163+
} else {
164+
sb.append("└─ CoordinatorMergeOperator (results aggregation)\n");
145165
}
146-
if (stage.getPlanFragment() != null) {
147-
sb.append(" Plan: ").append(RelOptUtil.toString(stage.getPlanFragment())).append("\n");
166+
167+
if (!stage.getSourceStageIds().isEmpty()) {
168+
sb.append(" Dependencies: ").append(stage.getSourceStageIds()).append("\n");
148169
}
170+
sb.append("\n");
149171
}
150172

151173
String logicalPlan = RelOptUtil.toString(relNode);
@@ -165,4 +187,13 @@ private void explainDistributed(RelNode relNode, ResponseListener<ExplainRespons
165187
private boolean isDistributedEnabled() {
166188
return settings.getDistributedExecutionEnabled();
167189
}
190+
191+
/** Creates an enhanced fragmentation context with real cost estimation. */
192+
private FragmentationContext createEnhancedFragmentationContext() {
193+
// Create enhanced cost estimator instead of stub
194+
OpenSearchCostEstimator costEstimator = new OpenSearchCostEstimator(clusterService);
195+
196+
// Create fragmentation context with enhanced cost estimator
197+
return new OpenSearchFragmentationContext(clusterService, costEstimator);
198+
}
168199
}

‎opensearch/src/main/java/org/opensearch/sql/opensearch/executor/distributed/operator/ProjectionOperator.java‎

Lines changed: 229 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,229 @@
1+
/*
2+
* Copyright OpenSearch Contributors
3+
* SPDX-License-Identifier: Apache-2.0
4+
*/
5+
6+
package org.opensearch.sql.opensearch.executor.distributed.operator;
7+
8+
import java.util.ArrayList;
9+
import java.util.List;
10+
import java.util.Map;
11+
import lombok.extern.log4j.Log4j2;
12+
import org.opensearch.common.xcontent.XContentHelper;
13+
import org.opensearch.common.xcontent.XContentType;
14+
import org.opensearch.core.common.bytes.BytesArray;
15+
import org.opensearch.sql.planner.distributed.operator.Operator;
16+
import org.opensearch.sql.planner.distributed.operator.OperatorContext;
17+
import org.opensearch.sql.planner.distributed.page.Page;
18+
import org.opensearch.sql.planner.distributed.page.PageBuilder;
19+
20+
/**
21+
* Operator that projects (selects) specific fields from input pages.
22+
*
23+
* <p>Implements field selection and nested field extraction following the standard operator
24+
* lifecycle pattern used by LimitOperator and other existing operators.
25+
*
26+
* <p>Features:
27+
*
28+
* <ul>
29+
* <li>Field extraction from Page objects
30+
* <li>Nested field access using dotted notation (e.g., "user.name")
31+
* <li>Memory-efficient page building
32+
* <li>Proper operator lifecycle implementation
33+
* </ul>
34+
*/
35+
@Log4j2
36+
public class ProjectionOperator implements Operator {
37+
38+
private final List<String> projectedFields;
39+
private final List<Integer> fieldIndices;
40+
private final OperatorContext context;
41+
42+
private Page pendingOutput;
43+
private boolean inputFinished;
44+
45+
/**
46+
* Creates a ProjectionOperator with pre-computed field indices.
47+
*
48+
* @param projectedFields the field names to project
49+
* @param inputFieldNames the field names from the input pages (for index computation)
50+
* @param context operator context
51+
*/
52+
public ProjectionOperator(
53+
List<String> projectedFields, List<String> inputFieldNames, OperatorContext context) {
54+
55+
this.projectedFields = projectedFields;
56+
this.context = context;
57+
this.fieldIndices = computeFieldIndices(projectedFields, inputFieldNames);
58+
59+
log.debug(
60+
"Created ProjectionOperator: projectedFields={}, fieldIndices={}",
61+
projectedFields,
62+
fieldIndices);
63+
}
64+
65+
@Override
66+
public boolean needsInput() {
67+
return pendingOutput == null && !inputFinished && !context.isCancelled();
68+
}
69+
70+
@Override
71+
public void addInput(Page page) {
72+
if (pendingOutput != null) {
73+
throw new IllegalStateException("Cannot add input when output is pending");
74+
}
75+
76+
if (context.isCancelled()) {
77+
return;
78+
}
79+
80+
log.debug(
81+
"Processing page with {} rows, {} channels",
82+
page.getPositionCount(),
83+
page.getChannelCount());
84+
85+
// Project the page to selected fields
86+
Page projectedPage = projectPage(page);
87+
pendingOutput = projectedPage;
88+
89+
log.debug("Projected to {} channels", projectedPage.getChannelCount());
90+
}
91+
92+
@Override
93+
public Page getOutput() {
94+
Page output = pendingOutput;
95+
pendingOutput = null;
96+
return output;
97+
}
98+
99+
@Override
100+
public boolean isFinished() {
101+
return inputFinished && pendingOutput == null;
102+
}
103+
104+
@Override
105+
public void finish() {
106+
inputFinished = true;
107+
log.debug("ProjectionOperator finished");
108+
}
109+
110+
@Override
111+
public OperatorContext getContext() {
112+
return context;
113+
}
114+
115+
@Override
116+
public void close() {
117+
// No resources to clean up
118+
log.debug("ProjectionOperator closed");
119+
}
120+
121+
/** Projects a page to contain only the selected fields. */
122+
private Page projectPage(Page inputPage) {
123+
int positionCount = inputPage.getPositionCount();
124+
int projectedChannelCount = fieldIndices.size();
125+
126+
// Build new page with selected fields only
127+
PageBuilder builder = new PageBuilder(projectedChannelCount);
128+
129+
for (int position = 0; position < positionCount; position++) {
130+
builder.beginRow();
131+
132+
for (int projectedChannel = 0; projectedChannel < projectedChannelCount; projectedChannel++) {
133+
int sourceChannel = fieldIndices.get(projectedChannel);
134+
135+
Object value;
136+
if (sourceChannel >= 0 && sourceChannel < inputPage.getChannelCount()) {
137+
value = inputPage.getValue(position, sourceChannel);
138+
139+
// Handle nested field extraction if the value is a JSON-like structure
140+
String projectedFieldName = projectedFields.get(projectedChannel);
141+
if (projectedFieldName.contains(".") && value != null) {
142+
value = extractNestedField(value, projectedFieldName);
143+
}
144+
} else {
145+
// Field not found in input - return null
146+
value = null;
147+
}
148+
149+
builder.setValue(projectedChannel, value);
150+
}
151+
152+
builder.endRow();
153+
}
154+
155+
return builder.build();
156+
}
157+
158+
/** Computes field indices for projected fields in the input schema. */
159+
private List<Integer> computeFieldIndices(
160+
List<String> projectedFields, List<String> inputFields) {
161+
List<Integer> indices = new ArrayList<>();
162+
163+
for (String projectedField : projectedFields) {
164+
// For nested fields (e.g., "user.name"), look for the base field ("user")
165+
String baseField = extractBaseField(projectedField);
166+
167+
int index = inputFields.indexOf(baseField);
168+
indices.add(index); // -1 if not found, handled in projectPage
169+
}
170+
171+
return indices;
172+
}
173+
174+
/**
175+
* Extracts the base field name from a potentially nested field path. Example: "user.name" →
176+
* "user", "age" → "age"
177+
*/
178+
private String extractBaseField(String fieldPath) {
179+
int dotIndex = fieldPath.indexOf('.');
180+
return (dotIndex > 0) ? fieldPath.substring(0, dotIndex) : fieldPath;
181+
}
182+
183+
/**
184+
* Extracts a nested field value from a JSON-like object structure. Handles dotted field paths
185+
* like "user.name" or "machine.os".
186+
*/
187+
private Object extractNestedField(Object value, String fieldPath) {
188+
if (value == null) {
189+
return null;
190+
}
191+
192+
String[] pathParts = fieldPath.split("\\.");
193+
Object current = value;
194+
195+
// Navigate through the nested structure
196+
for (String part : pathParts) {
197+
if (current == null) {
198+
return null;
199+
}
200+
201+
if (current instanceof Map) {
202+
@SuppressWarnings("unchecked")
203+
Map<String, Object> map = (Map<String, Object>) current;
204+
current = map.get(part);
205+
} else if (current instanceof String) {
206+
// Try to parse as JSON if it's a string (from _source field)
207+
try {
208+
String jsonString = (String) current;
209+
Map<String, Object> parsed =
210+
XContentHelper.convertToMap(new BytesArray(jsonString), false, XContentType.JSON)
211+
.v2();
212+
current = parsed.get(part);
213+
} catch (Exception e) {
214+
log.debug("Failed to parse JSON for nested field extraction: {}", e.getMessage());
215+
return null;
216+
}
217+
} else {
218+
// Cannot navigate further
219+
log.debug(
220+
"Cannot extract nested field '{}' from non-map object: {}",
221+
fieldPath,
222+
current.getClass().getSimpleName());
223+
return null;
224+
}
225+
}
226+
227+
return current;
228+
}
229+
}

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