isolate PREFIXES_TO_SKIP_VALIDATE

Author: xx789633

fluss-flink/fluss-flink-common/src/main/java/org/apache/fluss/flink/catalog/FlinkCatalogFactory.java

@@ -24,11 +24,11 @@
 import org.apache.flink.table.factories.CatalogFactory;
 import org.apache.flink.table.factories.FactoryUtil;
 
-import java.util.Arrays;
+import java.util.ArrayList;
 import java.util.Collections;
+import java.util.List;
 import java.util.Map;
 import java.util.Set;
-import java.util.stream.Stream;
 
 import static org.apache.fluss.config.FlussConfigUtils.CLIENT_SECURITY_PREFIX;
 import static org.apache.fluss.utils.PropertiesUtils.extractPrefix;
@@ -38,6 +38,15 @@ public class FlinkCatalogFactory implements CatalogFactory {
 
     public static final String IDENTIFIER = "fluss";
 
+    public static final List<String> PREFIXES_TO_SKIP_VALIDATE = new ArrayList<>();
+
+    static {
+        PREFIXES_TO_SKIP_VALIDATE.add(CLIENT_SECURITY_PREFIX);
+        for (DataLakeFormat value : DataLakeFormat.values()) {
+            PREFIXES_TO_SKIP_VALIDATE.add(value.toString());
+        }
+    }
+
     @Override
     public String factoryIdentifier() {
         return IDENTIFIER;
@@ -57,12 +66,7 @@ public Set<ConfigOption<?>> optionalOptions() {
     public FlinkCatalog createCatalog(Context context) {
         final FactoryUtil.CatalogFactoryHelper helper =
                 FactoryUtil.createCatalogFactoryHelper(this, context);
-        helper.validateExcept(
-                Stream.concat(
-                                Stream.of(CLIENT_SECURITY_PREFIX),
-                                Arrays.stream(DataLakeFormat.values())
-                                        .map(DataLakeFormat::toString))
-                        .toArray(String[]::new));
+        helper.validateExcept(PREFIXES_TO_SKIP_VALIDATE.toArray(new String[0]));
         Map<String, String> options = context.getOptions();
         Map<String, String> securityConfigs = extractPrefix(options, CLIENT_SECURITY_PREFIX);
         Map<String, String> lakeCatalogProperties = extractPrefix(options, DataLakeFormat.class);