fix: build warnings and test failures (#3457)

bolt/src/test/java/com/arcadedb/bolt/BoltChunkedIOTest.java

@@ -22,7 +22,6 @@
 
 import java.io.ByteArrayInputStream;
 import java.io.ByteArrayOutputStream;
-import java.io.IOException;
 import java.util.Arrays;
 
 import static org.assertj.core.api.Assertions.assertThat;
@@ -35,7 +34,7 @@ class BoltChunkedIOTest {
   // ============ BoltChunkedOutput tests ============
 
   @Test
-  void writeEmptyMessage() throws IOException {
+  void writeEmptyMessage() throws Exception {
     final ByteArrayOutputStream baos = new ByteArrayOutputStream();
     final BoltChunkedOutput output = new BoltChunkedOutput(baos);
 
@@ -49,7 +48,7 @@ void writeEmptyMessage() throws IOException {
   }
 
   @Test
-  void writeSmallMessage() throws IOException {
+  void writeSmallMessage() throws Exception {
     final ByteArrayOutputStream baos = new ByteArrayOutputStream();
     final BoltChunkedOutput output = new BoltChunkedOutput(baos);
 
@@ -74,7 +73,7 @@ void writeSmallMessage() throws IOException {
   }
 
   @Test
-  void writeMessageExactlyMaxChunkSize() throws IOException {
+  void writeMessageExactlyMaxChunkSize() throws Exception {
     final ByteArrayOutputStream baos = new ByteArrayOutputStream();
     final BoltChunkedOutput output = new BoltChunkedOutput(baos);
 
@@ -92,7 +91,7 @@ void writeMessageExactlyMaxChunkSize() throws IOException {
   }
 
   @Test
-  void writeMessageLargerThanMaxChunkSize() throws IOException {
+  void writeMessageLargerThanMaxChunkSize() throws Exception {
     final ByteArrayOutputStream baos = new ByteArrayOutputStream();
     final BoltChunkedOutput output = new BoltChunkedOutput(baos);
 
@@ -122,7 +121,7 @@ void writeMessageLargerThanMaxChunkSize() throws IOException {
   }
 
   @Test
-  void writeRawBytes() throws IOException {
+  void writeRawBytes() throws Exception {
     final ByteArrayOutputStream baos = new ByteArrayOutputStream();
     final BoltChunkedOutput output = new BoltChunkedOutput(baos);
 
@@ -133,7 +132,7 @@ void writeRawBytes() throws IOException {
   }
 
   @Test
-  void writeRawInt() throws IOException {
+  void writeRawInt() throws Exception {
     final ByteArrayOutputStream baos = new ByteArrayOutputStream();
     final BoltChunkedOutput output = new BoltChunkedOutput(baos);
 
@@ -150,7 +149,7 @@ void writeRawInt() throws IOException {
   // ============ BoltChunkedInput tests ============
 
   @Test
-  void readEmptyMessage() throws IOException {
+  void readEmptyMessage() throws Exception {
     // Just end marker
     final byte[] input = { 0x00, 0x00 };
     final BoltChunkedInput chunkedInput = new BoltChunkedInput(new ByteArrayInputStream(input));
@@ -160,7 +159,7 @@ void readEmptyMessage() throws IOException {
   }
 
   @Test
-  void readSmallMessage() throws IOException {
+  void readSmallMessage() throws Exception {
     // Size (5) + data + end marker
     final byte[] input = {
         0x00, 0x05,  // chunk size = 5
@@ -174,7 +173,7 @@ void readSmallMessage() throws IOException {
   }
 
   @Test
-  void readMultiChunkMessage() throws IOException {
+  void readMultiChunkMessage() throws Exception {
     // Two chunks: 3 bytes + 2 bytes
     final byte[] input = {
         0x00, 0x03,  // first chunk size = 3
@@ -190,7 +189,7 @@ void readMultiChunkMessage() throws IOException {
   }
 
   @Test
-  void readRawBytes() throws IOException {
+  void readRawBytes() throws Exception {
     final byte[] input = { 0x60, 0x60, (byte) 0xB0, 0x17, 0x00, 0x00 };
     final BoltChunkedInput chunkedInput = new BoltChunkedInput(new ByteArrayInputStream(input));
 
@@ -199,7 +198,7 @@ void readRawBytes() throws IOException {
   }
 
   @Test
-  void readRawInt() throws IOException {
+  void readRawInt() throws Exception {
     final byte[] input = { 0x00, 0x00, 0x01, 0x04 };
     final BoltChunkedInput chunkedInput = new BoltChunkedInput(new ByteArrayInputStream(input));
 
@@ -208,7 +207,7 @@ void readRawInt() throws IOException {
   }
 
   @Test
-  void readRawShort() throws IOException {
+  void readRawShort() throws Exception {
     final byte[] input = { 0x00, 0x05 };
     final BoltChunkedInput chunkedInput = new BoltChunkedInput(new ByteArrayInputStream(input));
 
@@ -217,7 +216,7 @@ void readRawShort() throws IOException {
   }
 
   @Test
-  void readLargeChunkSize() throws IOException {
+  void readLargeChunkSize() throws Exception {
     // Chunk size 0xFFFF (65535)
     final byte[] input = new byte[65535 + 4]; // size header + data + end marker
     input[0] = (byte) 0xFF;
@@ -235,7 +234,7 @@ void readLargeChunkSize() throws IOException {
   }
 
   @Test
-  void available() throws IOException {
+  void available() throws Exception {
     final byte[] input = { 0x01, 0x02, 0x03 };
     final BoltChunkedInput chunkedInput = new BoltChunkedInput(new ByteArrayInputStream(input));
 
@@ -245,7 +244,7 @@ void available() throws IOException {
   // ============ Round-trip tests ============
 
   @Test
-  void roundTripSmallMessage() throws IOException {
+  void roundTripSmallMessage() throws Exception {
     final byte[] originalMessage = { 0x01, 0x02, 0x03, 0x04, 0x05 };
 
     // Write
@@ -261,7 +260,7 @@ void roundTripSmallMessage() throws IOException {
   }
 
   @Test
-  void roundTripLargeMessage() throws IOException {
+  void roundTripLargeMessage() throws Exception {
     // Message larger than max chunk size
     final byte[] originalMessage = new byte[100000];
     for (int i = 0; i < originalMessage.length; i++) {
@@ -281,7 +280,7 @@ void roundTripLargeMessage() throws IOException {
   }
 
   @Test
-  void roundTripEmptyMessage() throws IOException {
+  void roundTripEmptyMessage() throws Exception {
     final byte[] originalMessage = new byte[0];
 
     // Write

console/src/test/java/com/arcadedb/console/ConsoleBatchTest.java

@@ -57,16 +57,18 @@ void okSqlCreationIfNotExists() throws Exception {
   @Test
   void okBatchMultiLine() throws Exception {
     Console.execute(new String[] { "-b",
-        "create database console;" +
-            "create vertex type Batchtest;" +
-            "create vertex Batchtest set id = 1;" +
-            "create vertex Batchtest set id = 2;" +
-            "create vertex Batchtest set id = 3;" +
-            "LET x=SELECT FROM Batchtest;" +
-            "if($x.size()>0){ \n" +
-            "  return true; \n" +
-            "} \n" +
-            "return false;" });
+        """
+        create database console;\
+        create vertex type Batchtest;\
+        create vertex Batchtest set id = 1;\
+        create vertex Batchtest set id = 2;\
+        create vertex Batchtest set id = 3;\
+        LET x=SELECT FROM Batchtest;\
+        if($x.size()>0){\s
+          return true;\s
+        }\s
+        return false;\
+        """ });
 
     final Database db = new DatabaseFactory("./target/databases/console").open();
     assertThat(db.getSchema().existsType("Batchtest")).isTrue();

e2e-perf/pom.xml

@@ -37,22 +37,6 @@
     <name>ArcadeDB performance tests</name>
     <packaging>jar</packaging>
 
-    <build>
-        <plugins>
-            <plugin>
-                <groupId>org.apache.maven.plugins</groupId>
-                <artifactId>maven-jar-plugin</artifactId>
-                <executions>
-                    <execution>
-                        <goals>
-                            <goal>test-jar</goal>
-                        </goals>
-                    </execution>
-                </executions>
-            </plugin>
-        </plugins>
-    </build>
-
     <dependencies>
         <dependency>
             <groupId>ch.qos.logback</groupId>

e2e/pom.xml

@@ -40,23 +40,6 @@
     <packaging>jar</packaging>
     <name>ArcadeDB End-to-End Tests</name>
 
-    <build>
-        <plugins>
-            <plugin>
-                <groupId>org.apache.maven.plugins</groupId>
-                <artifactId>maven-jar-plugin</artifactId>
-                <executions>
-                    <execution>
-                        <goals>
-                            <goal>test-jar</goal>
-                        </goals>
-                    </execution>
-                </executions>
-            </plugin>
-
-        </plugins>
-    </build>
-
     <dependencies>
         <dependency>
             <groupId>org.junit.jupiter</groupId>

engine/src/main/java/com/arcadedb/GlobalConfiguration.java

@@ -258,8 +258,9 @@ public Object call(final Object value) {
       Integer.class, 300),
 
   SQL_PARSER_IMPLEMENTATION("arcadedb.sql.parserImplementation", SCOPE.DATABASE,
-      "SQL parser implementation to use. 'antlr' (default) uses the new ANTLR4-based parser with improved error messages. " +
-          "'javacc' uses the legacy JavaCC-based parser for backward compatibility.",
+      """
+      SQL parser implementation to use. 'antlr' (default) uses the new ANTLR4-based parser with improved error messages. \
+      'javacc' uses the legacy JavaCC-based parser for backward compatibility.""",
       String.class, "antlr", Set.of("antlr", "javacc")),
 
   // OPENCYPHER
@@ -270,18 +271,21 @@ public Object call(final Object value) {
       "Maximum number of OpenCypher execution plans to keep in cache (frequency-based eviction)", Integer.class, 300),
 
   OPENCYPHER_BULK_CREATE_BATCH_SIZE("arcadedb.opencypher.bulkCreateBatchSize", SCOPE.DATABASE,
-      "Batch size for bulk CREATE operations. When a CREATE follows an UNWIND producing multiple rows, records are accumulated and created in batches to reduce transaction overhead. " +
-      "Higher values improve performance but consume more memory. Default: 20000. Recommended range: 10000-100000. Set to 0 to disable batching.",
+      """
+      Batch size for bulk CREATE operations. When a CREATE follows an UNWIND producing multiple rows, records are accumulated and created in batches to reduce transaction overhead. \
+      Higher values improve performance but consume more memory. Default: 20000. Recommended range: 10000-100000. Set to 0 to disable batching.""",
       Integer.class, 20_000),
 
   OPENCYPHER_LOAD_CSV_ALLOW_FILE_URLS("arcadedb.opencypher.loadCsv.allowFileUrls", SCOPE.DATABASE,
-      "Allow LOAD CSV to access local files via file:/// URLs and bare file paths. "
-          + "Disable for security in multi-tenant server deployments.",
+      """
+      Allow LOAD CSV to access local files via file:/// URLs and bare file paths. \
+      Disable for security in multi-tenant server deployments.""",
       Boolean.class, true),
 
   OPENCYPHER_LOAD_CSV_IMPORT_DIRECTORY("arcadedb.opencypher.loadCsv.importDirectory", SCOPE.DATABASE,
-      "Root directory for LOAD CSV file:/// URLs. When set, file paths are resolved relative to this "
-          + "directory and path traversal (../) is blocked. Empty string means no restriction.",
+      """
+      Root directory for LOAD CSV file:/// URLs. When set, file paths are resolved relative to this \
+      directory and path traversal (../) is blocked. Empty string means no restriction.""",
       String.class, ""),
 
   // COMMAND
@@ -292,9 +296,10 @@ public Object call(final Object value) {
       Integer.class, 100),
 
   GREMLIN_ENGINE("arcadedb.gremlin.engine", SCOPE.DATABASE,
-      "Gremlin engine to use. 'java' (default, secure) uses the native Gremlin parser - recommended for production. " +
-          "'groovy' enables the legacy Groovy engine with security restrictions (use only if needed for compatibility). " +
-          "'auto' attempts Java first, falls back to Groovy if needed (not recommended for security-critical deployments).",
+      """
+      Gremlin engine to use. 'java' (default, secure) uses the native Gremlin parser - recommended for production. \
+      'groovy' enables the legacy Groovy engine with security restrictions (use only if needed for compatibility). \
+      'auto' attempts Java first, falls back to Groovy if needed (not recommended for security-critical deployments).""",
       String.class, "java", Set.of("auto", "groovy", "java")),
 
   /**
@@ -320,10 +325,11 @@ This setting is intended as a safety measure against excessive resource consumpt
 
   // INDEXES
   INDEX_BUILD_CHUNK_SIZE_MB("arcadedb.index.buildChunkSizeMB", SCOPE.DATABASE,
-      "Size in MB for transaction chunks during bulk index creation with WAL disabled. " +
-          "Larger chunks reduce commit overhead but use more memory. " +
-          "Smaller chunks reduce memory pressure but add commit overhead. " +
-          "Recommended: 50MB for typical workloads, 100MB for high-memory systems, 25MB for constrained environments.",
+      """
+      Size in MB for transaction chunks during bulk index creation with WAL disabled. \
+      Larger chunks reduce commit overhead but use more memory. \
+      Smaller chunks reduce memory pressure but add commit overhead. \
+      Recommended: 50MB for typical workloads, 100MB for high-memory systems, 25MB for constrained environments.""",
       Long.class, 50L),
 
   INDEX_COMPACTION_RAM_MB("arcadedb.indexCompactionRAM", SCOPE.DATABASE, "Maximum amount of RAM to use for index compaction, in MB",
@@ -333,29 +339,33 @@ This setting is intended as a safety measure against excessive resource consumpt
       "Minimum number of mutable pages for an index to be schedule for automatic compaction. 0 = disabled", Integer.class, 10),
 
   VECTOR_INDEX_LOCATION_CACHE_SIZE("arcadedb.vectorIndex.locationCacheSize", SCOPE.DATABASE,
-      "Maximum number of vector locations to cache in memory per vector index. " +
-          "Set to -1 for unlimited (backward compatible). " +
-          "Each entry uses ~56 bytes. Recommended: 100000 for datasets with 1M+ vectors (~5.6MB), " +
-          "-1 for smaller datasets.",
+      """
+      Maximum number of vector locations to cache in memory per vector index. \
+      Set to -1 for unlimited (backward compatible). \
+      Each entry uses ~56 bytes. Recommended: 100000 for datasets with 1M+ vectors (~5.6MB), \
+      -1 for smaller datasets.""",
       Integer.class, -1),
 
   VECTOR_INDEX_GRAPH_BUILD_CACHE_SIZE("arcadedb.vectorIndex.graphBuildCacheSize", SCOPE.DATABASE,
-      "Maximum number of vectors to cache in memory during HNSW graph building. " +
-          "Higher values speed up construction but use more RAM. " +
-          "RAM usage = cacheSize * (dimensions * 4 + 64) bytes. " +
-          "Recommended: 100000 for 768-dim vectors (~30MB), scale based on dimensionality.",
+      """
+      Maximum number of vectors to cache in memory during HNSW graph building. \
+      Higher values speed up construction but use more RAM. \
+      RAM usage = cacheSize * (dimensions * 4 + 64) bytes. \
+      Recommended: 100000 for 768-dim vectors (~30MB), scale based on dimensionality.""",
       Integer.class, 100_000),
 
   VECTOR_INDEX_MUTATIONS_BEFORE_REBUILD("arcadedb.vectorIndex.mutationsBeforeRebuild", SCOPE.DATABASE,
-      "Number of mutations (inserts/updates/deletes) before rebuilding the HNSW graph index. " +
-          "Higher values reduce rebuild cost but may return slightly stale results in queries. " +
-          "Lower values provide fresher results but rebuild more frequently. " +
-          "Recommended: 50-200 for read-heavy, 200-500 for write-heavy workloads.",
+      """
+      Number of mutations (inserts/updates/deletes) before rebuilding the HNSW graph index. \
+      Higher values reduce rebuild cost but may return slightly stale results in queries. \
+      Lower values provide fresher results but rebuild more frequently. \
+      Recommended: 50-200 for read-heavy, 200-500 for write-heavy workloads.""",
       Integer.class, 100),
 
     VECTOR_INDEX_GRAPH_BUILD_DIAGNOSTICS("arcadedb.vectorIndex.graphBuildDiagnostics", SCOPE.DATABASE,
-      "Enable diagnostic logging during vector graph build progress (heap/off-heap memory and index file sizes). " +
-          "This provides visibility during graph construction; disable if any logging overhead is a concern.",
+      """
+      Enable diagnostic logging during vector graph build progress (heap/off-heap memory and index file sizes). \
+      This provides visibility during graph construction; disable if any logging overhead is a concern.""",
         Boolean.class, true),
 
   // NETWORK