snuyanzin commented on code in PR #22063:
URL: https://github.com/apache/flink/pull/22063#discussion_r1144862356


##########
flink-table/flink-sql-client/src/main/resources/keywords.properties:
##########
@@ -0,0 +1,20 @@
+# 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.
+#
+# Resources for the Apache Calcite project.
+# See wrapper class org.apache.calcite.runtime.CalciteResource.
+#
+default=ABS;ALL;ALLOCATE;ALLOW;ALTER;AND;ANY;ARE;ARRAY;ARRAY_AGG;ARRAY_CONCAT_AGG;ARRAY_MAX_CARDINALITY;AS;ASENSITIVE;ASYMMETRIC;AT;ATOMIC;AUTHORIZATION;AVG;BEGIN;BEGIN_FRAME;BEGIN_PARTITION;BETWEEN;BIGINT;BINARY;BIT;BLOB;BOOLEAN;BOTH;BY;BYTES;CALL;CALLED;CARDINALITY;CASCADED;CASE;CAST;CATALOGS;CEIL;CEILING;CHAR;CHARACTER;CHARACTER_LENGTH;CHAR_LENGTH;CHECK;CLASSIFIER;CLOB;CLOSE;COALESCE;COLLATE;COLLECT;COLUMN;COMMENT;COMMIT;CONDITION;CONNECT;CONSTRAINT;CONTAINS;CONVERT;CORR;CORRESPONDING;COUNT;COVAR_POP;COVAR_SAMP;CREATE;CROSS;CUBE;CUME_DIST;CURRENT;CURRENT_CATALOG;CURRENT_DATE;CURRENT_DEFAULT_TRANSFORM_GROUP;CURRENT_PATH;CURRENT_ROLE;CURRENT_ROW;CURRENT_SCHEMA;CURRENT_TIME;CURRENT_TIMESTAMP;CURRENT_TRANSFORM_GROUP_FOR_TYPE;CURRENT_USER;CURSOR;CYCLE;DATABASES;DATE;DAY;DEALLOCATE;DEC;DECIMAL;DECLARE;DEFAULT;DEFINE;DELETE;DENSE_RANK;DEREF;DESCRIBE;DETERMINISTIC;DISALLOW;DISCONNECT;DISTINCT;DOT;DOUBLE;DROP;DYNAMIC;EACH;ELEMENT;ELSE;EMPTY;END;END-EXEC;END_FRAME;END_PARTITION;EQUALS;ESCA
 
PE;EVERY;EXCEPT;EXEC;EXECUTE;EXISTS;EXP;EXPLAIN;EXTEND;EXTENDED;EXTERNAL;EXTRACT;FALSE;FETCH;FILTER;FIRST_VALUE;FLOAT;FLOOR;FOR;FOREIGN;FRAME_ROW;FREE;FROM;FULL;FUNCTION;FUNCTIONS;FUSION;GET;GLOBAL;GRANT;GROUP;GROUPING;GROUPS;GROUP_CONCAT;HAVING;HOLD;HOUR;IDENTITY;ILIKE;IMPORT;IN;INCLUDE;INDICATOR;INITIAL;INNER;INOUT;INSENSITIVE;INSERT;INT;INTEGER;INTERSECT;INTERSECTION;INTERVAL;INTO;IS;JOIN;JSON_ARRAY;JSON_ARRAYAGG;JSON_EXISTS;JSON_OBJECT;JSON_OBJECTAGG;JSON_QUERY;JSON_VALUE;LAG;LANGUAGE;LARGE;LAST_VALUE;LATERAL;LEAD;LEADING;LEFT;LIKE;LIKE_REGEX;LIMIT;LN;LOCAL;LOCALTIME;LOCALTIMESTAMP;LOWER;MATCH;MATCHES;MATCH_NUMBER;MATCH_RECOGNIZE;MAX;MEASURES;MEMBER;MERGE;METHOD;MIN;MINUS;MINUTE;MOD;MODIFIES;MODIFY;MODULE;MODULES;MONTH;MULTISET;NATIONAL;NATURAL;NCHAR;NCLOB;NEW;NEXT;NO;NONE;NORMALIZE;NOT;NTH_VALUE;NTILE;NULL;NULLIF;NUMERIC;OCCURRENCES_REGEX;OCTET_LENGTH;OF;OFFSET;OLD;OMIT;ON;ONE;ONLY;OPEN;OR;ORDER;OUT;OUTER;OVER;OVERLAPS;OVERLAY;PARAMETER;PARTITION;PATTERN;PER;PERCENT;PERCENTILE_
 
CONT;PERCENTILE_DISC;PERCENT_RANK;PERIOD;PERMUTE;PIVOT;PORTION;POSITION;POSITION_REGEX;POWER;PRECEDES;PRECISION;PREPARE;PREV;PRIMARY;PROCEDURE;RANGE;RANK;RAW;READS;REAL;RECURSIVE;REF;REFERENCES;REFERENCING;REGR_AVGX;REGR_AVGY;REGR_COUNT;REGR_INTERCEPT;REGR_R2;REGR_SLOPE;REGR_SXX;REGR_SXY;REGR_SYY;RELEASE;RENAME;RESET;RESULT;RETURN;RETURNS;REVOKE;RIGHT;RLIKE;ROLLBACK;ROLLUP;ROW;ROWS;ROW_NUMBER;RUNNING;SAVEPOINT;SCALA;SCOPE;SCROLL;SEARCH;SECOND;SEEK;SELECT;SENSITIVE;SEPARATOR;SESSION_USER;SET;SHOW;SIMILAR;SKIP;SMALLINT;SOME;SPECIFIC;SPECIFICTYPE;SQL;SQLEXCEPTION;SQLSTATE;SQLWARNING;SQRT;START;STATEMENT;STATIC;STDDEV_POP;STDDEV_SAMP;STREAM;STRING;STRING_AGG;SUBMULTISET;SUBSET;SUBSTRING;SUBSTRING_REGEX;SUCCEEDS;SUM;SYMMETRIC;SYSTEM;SYSTEM_TIME;SYSTEM_USER;TABLE;TABLES;TABLESAMPLE;THEN;TIME;TIMESTAMP;TIMESTAMP_LTZ;TIMEZONE_HOUR;TIMEZONE_MINUTE;TINYINT;TO;TRAILING;TRANSLATE;TRANSLATE_REGEX;TRANSLATION;TREAT;TRIGGER;TRIM;TRIM_ARRAY;TRUE;TRUNCATE;UESCAPE;UNION;UNIQUE;UNKNOWN;UNNEST;UNPIVOT;
 
UPDATE;UPPER;UPSERT;USE;USER;USING;VALUE;VALUES;VALUE_OF;VARBINARY;VARCHAR;VARYING;VAR_POP;VAR_SAMP;VERSIONING;VIEWS;WATERMARK;WATERMARKS;WHEN;WHENEVER;WHERE;WIDTH_BUCKET;WINDOW;WITH;WITHIN;WITHOUT;YEAR

Review Comment:
   I used the code snippet below
   it allows to extract some Flink specific keywords like `MATCH_RECOGNIZE` 
which is not a keyword in Calcite or SQL Standard e.g.
   ```java
   public class KeywordsExtractor {
       public static void main(String[] args) {
           EnvironmentSettings es = 
EnvironmentSettings.newInstance().inStreamingMode().build();
           LocalStreamEnvironment lse = 
StreamExecutionEnvironment.createLocalEnvironment(1);
           StreamTableEnvironmentImpl ste = (StreamTableEnvironmentImpl) 
StreamTableEnvironmentImpl.create(lse, es);
           FlinkContext context = 
((PlannerBase)ste.getPlanner()).plannerContext().getFlinkContext();
   
           // taken from 
org.apache.flink.table.planner.delegation.PlannerContext#getSqlParserConfig
           // since PlannerContext#getSqlParserConfig is private
           SqlParser.Config config = 
JavaScalaConversionUtil.<SqlParser.Config>toJava(
                   
TableConfigUtils.getCalciteConfig(context.getTableConfig()).getSqlParserConfig())
                   .orElseGet(
                           // we use Java lex because back ticks are easier 
than double quotes in
                           // programming and cases are preserved
                           () -> {
                               SqlConformance conformance = 
getSqlConformance(context);
                               return SqlParser.config()
                                       
.withParserFactory(FlinkSqlParserFactories.create(conformance))
                                       .withConformance(conformance)
                                       .withLex(Lex.JAVA)
                                       .withIdentifierMaxLength(256);
                           });
           SqlAbstractParserImpl parser = config.parserFactory().getParser(new 
SourceStringReader(""));
           System.out.println(String.join(";", 
parser.getMetadata().getJdbcKeywords().split(",")));
       }
   
       // Taken from 
org.apache.flink.table.planner.delegation.PlannerContext#getSqlConformance
       // since PlannerContext#getSqlConformance is private
       private static FlinkSqlConformance getSqlConformance(FlinkContext 
context) {
           SqlDialect sqlDialect = context.getTableConfig().getSqlDialect();
           switch (sqlDialect) {
               // Actually, in Hive dialect, we won't use Calcite parser.
               // So, we can just use Flink's default sql conformance as a 
placeholder
               case HIVE:
               case DEFAULT:
                   return FlinkSqlConformance.DEFAULT;
               default:
                   throw new TableException("Unsupported SQL dialect: " + 
sqlDialect);
           }
       }
   }
   ```



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