Extract unified query context for shared config management

api/README.md

@@ -17,19 +17,34 @@ Together, these components enable a complete workflow: parse PPL queries into lo
 
 ## Usage
 
-### UnifiedQueryPlanner
+### UnifiedQueryContext
+
+`UnifiedQueryContext` is a reusable abstraction shared across unified query components (planner, compiler, etc.). It bundles `CalcitePlanContext` and `Settings` into a single object, centralizing configuration for all unified query operations.
 
-Use the declarative, fluent builder API to initialize the `UnifiedQueryPlanner`.
+Create a context with catalog configuration, query type, and optional settings:
 
 ```java
-UnifiedQueryPlanner planner = UnifiedQueryPlanner.builder()
+UnifiedQueryContext context = UnifiedQueryContext.builder()
     .language(QueryType.PPL)
-    .catalog("opensearch", schema)
+    .catalog("opensearch", opensearchSchema)
+    .catalog("spark_catalog", sparkSchema)
     .defaultNamespace("opensearch")
     .cacheMetadata(true)
+    .setting("plugins.query.size_limit", 200)
     .build();
+```
+
+### UnifiedQueryPlanner
 
-RelNode plan = planner.plan("source = opensearch.test");
+Use `UnifiedQueryPlanner` to parse and analyze PPL queries into Calcite logical plans. The planner accepts a `UnifiedQueryContext` and can be reused for multiple queries.
+
+```java
+// Create planner with context
+UnifiedQueryPlanner planner = new UnifiedQueryPlanner(context);
+
+// Plan multiple queries (context is reused)
+RelNode plan1 = planner.plan("source = logs | where status = 200");
+RelNode plan2 = planner.plan("source = metrics | stats avg(cpu)");
 ```
 
 ### UnifiedQueryTranspiler
@@ -46,25 +61,28 @@ String sql = transpiler.toSql(plan);
 
 ### Complete Workflow Example
 
-Combining both components to transpile PPL queries into target database SQL:
+Combining all components to transpile PPL queries into target database SQL:
 
 ```java
-// Step 1: Initialize planner
-UnifiedQueryPlanner planner = UnifiedQueryPlanner.builder()
+// Step 1: Create reusable context (shared across components)
+UnifiedQueryContext context = UnifiedQueryContext.builder()
     .language(QueryType.PPL)
     .catalog("catalog", schema)
     .defaultNamespace("catalog")
     .build();
 
-// Step 2: Parse PPL query into logical plan
+// Step 2: Create planner with context
+UnifiedQueryPlanner planner = new UnifiedQueryPlanner(context);
+
+// Step 3: Plan PPL query into logical plan
 RelNode plan = planner.plan("source = employees | where age > 30");
 
-// Step 3: Initialize transpiler with target dialect
+// Step 4: Create transpiler with target dialect
 UnifiedQueryTranspiler transpiler = UnifiedQueryTranspiler.builder()
     .dialect(SparkSqlDialect.DEFAULT)
     .build();
 
-// Step 4: Transpile to target SQL
+// Step 5: Transpile to target SQL
 String sparkSql = transpiler.toSql(plan);
 // Result: SELECT * FROM `catalog`.`employees` WHERE `age` > 30
 ```

api/src/main/java/org/opensearch/sql/api/UnifiedQueryContext.java

@@ -0,0 +1,189 @@
+/*
+ * Copyright OpenSearch Contributors
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+package org.opensearch.sql.api;
+
+import static org.opensearch.sql.common.setting.Settings.Key.PPL_JOIN_SUBSEARCH_MAXOUT;
+import static org.opensearch.sql.common.setting.Settings.Key.PPL_SUBSEARCH_MAXOUT;
+import static org.opensearch.sql.common.setting.Settings.Key.QUERY_SIZE_LIMIT;
+
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import lombok.Value;
+import org.apache.calcite.jdbc.CalciteSchema;
+import org.apache.calcite.plan.RelTraitDef;
+import org.apache.calcite.rel.metadata.DefaultRelMetadataProvider;
+import org.apache.calcite.schema.Schema;
+import org.apache.calcite.schema.SchemaPlus;
+import org.apache.calcite.sql.parser.SqlParser;
+import org.apache.calcite.tools.FrameworkConfig;
+import org.apache.calcite.tools.Frameworks;
+import org.apache.calcite.tools.Programs;
+import org.opensearch.sql.calcite.CalcitePlanContext;
+import org.opensearch.sql.calcite.SysLimit;
+import org.opensearch.sql.common.setting.Settings;
+import org.opensearch.sql.executor.QueryType;
+
+/**
+ * A reusable abstraction shared across unified query components (planner, compiler, etc.). This
+ * centralizes configuration for catalog schemas, query type, execution limits, and other settings,
+ * enabling consistent behavior across all unified query operations.
+ */
+@Value
+public class UnifiedQueryContext {
+
+  /** CalcitePlanContext containing Calcite framework configuration and query type. */
+  CalcitePlanContext planContext;
+
+  /** Settings containing execution limits and feature flags used by parsers and planners. */
+  Settings settings;
+
+  /** Creates a new builder for UnifiedQueryContext. */
+  public static Builder builder() {
+    return new Builder();
+  }
+
+  /** Builder that constructs UnifiedQueryContext. */
+  public static class Builder {
+    private QueryType queryType;
+    private final Map<String, Schema> catalogs = new HashMap<>();
+    private String defaultNamespace;
+    private boolean cacheMetadata = false;
+
+    /**
+     * Setting values with defaults from SysLimit.DEFAULT. Only includes planning-required settings
+     * to avoid coupling with OpenSearchSettings.
+     */
+    private final Map<Settings.Key, Object> settings =
+        new HashMap<Settings.Key, Object>(
+            Map.of(
+                QUERY_SIZE_LIMIT, SysLimit.DEFAULT.querySizeLimit(),
+                PPL_SUBSEARCH_MAXOUT, SysLimit.DEFAULT.subsearchLimit(),
+                PPL_JOIN_SUBSEARCH_MAXOUT, SysLimit.DEFAULT.joinSubsearchLimit()));
+
+    /**
+     * Sets the query language frontend to be used.
+     *
+     * @param queryType the {@link QueryType}, such as PPL
+     * @return this builder instance
+     */
+    public Builder language(QueryType queryType) {
+      this.queryType = queryType;
+      return this;
+    }
+
+    /**
+     * Registers a catalog with the specified name and its associated schema. The schema can be a
+     * flat or nested structure (e.g., catalog → schema → table), depending on how data is
+     * organized.
+     *
+     * @param name the name of the catalog to register
+     * @param schema the schema representing the structure of the catalog
+     * @return this builder instance
+     */
+    public Builder catalog(String name, Schema schema) {
+      catalogs.put(name, schema);
+      return this;
+    }
+
+    /**
+     * Sets the default namespace path for resolving unqualified table names.
+     *
+     * @param namespace dot-separated path (e.g., "spark_catalog.default" or "opensearch")
+     * @return this builder instance
+     */
+    public Builder defaultNamespace(String namespace) {
+      this.defaultNamespace = namespace;
+      return this;
+    }
+
+    /**
+     * Enables or disables catalog metadata caching in the root schema.
+     *
+     * @param cache whether to enable metadata caching
+     * @return this builder instance
+     */
+    public Builder cacheMetadata(boolean cache) {
+      this.cacheMetadata = cache;
+      return this;
+    }
+
+    /**
+     * Sets a specific setting value by name.
+     *
+     * @param name the setting key name (e.g., "plugins.query.size_limit")
+     * @param value the setting value
+     * @throws IllegalArgumentException if the setting name is not recognized
+     */
+    public Builder setting(String name, Object value) {
+      Settings.Key key =
+          Settings.Key.of(name)
+              .orElseThrow(() -> new IllegalArgumentException("Unknown setting name: " + name));
+      settings.put(key, value);
+      return this;
+    }
+
+    /**
+     * Builds a {@link UnifiedQueryContext} with the configuration.
+     *
+     * @return a new instance of {@link UnifiedQueryContext}
+     */
+    public UnifiedQueryContext build() {
+      Objects.requireNonNull(queryType, "Must specify language before build");
+
+      Settings settings = buildSettings();
+      CalcitePlanContext planContext =
+          CalcitePlanContext.create(
+              buildFrameworkConfig(), SysLimit.fromSettings(settings), queryType);
+      return new UnifiedQueryContext(planContext, settings);
+    }
+
+    private Settings buildSettings() {
+      return new Settings() {
+        @Override
+        @SuppressWarnings("unchecked")
+        public <T> T getSettingValue(Key key) {
+          return (T) settings.get(key);
+        }
+
+        @Override
+        public List<?> getSettings() {
+          return List.copyOf(settings.entrySet());
+        }
+      };
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    private FrameworkConfig buildFrameworkConfig() {
+      SchemaPlus rootSchema = CalciteSchema.createRootSchema(true, cacheMetadata).plus();
+      catalogs.forEach(rootSchema::add);
+
+      SchemaPlus defaultSchema = findSchemaByPath(rootSchema, defaultNamespace);
+      return Frameworks.newConfigBuilder()
+          .parserConfig(SqlParser.Config.DEFAULT)
+          .defaultSchema(defaultSchema)
+          .traitDefs((List<RelTraitDef>) null)
+          .programs(Programs.calc(DefaultRelMetadataProvider.INSTANCE))
+          .build();
+    }
+
+    private SchemaPlus findSchemaByPath(SchemaPlus rootSchema, String defaultPath) {
+      if (defaultPath == null) {
+        return rootSchema;
+      }
+
+      SchemaPlus current = rootSchema;
+      for (String part : defaultPath.split("\\.")) {
+        current = current.getSubSchema(part);
+        if (current == null) {
+          throw new IllegalArgumentException("Invalid default catalog path: " + defaultPath);
+        }
+      }
+      return current;
+    }
+  }
+}