扩展了with语法和presto sql解析

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README.md

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-### 介绍
+# 介绍
 
-基于antlr4 statement 解析器，支持spark sql, tidb sql, flink sql, Spark/flink jar 运行命令解析
+数据血缘，支持spark sql,hive sql,pg sql,presto sql,mysql sql,tidb sql, flink sql, datax血缘,Spark/flink jar 运行命令的血缘解析；支持with语法
 
-##### build
+* 特别提示：presto和spark均支持with语法
+* 目前解析到表级别，可以扩展到字段级别
+* 支持datax血缘(mysql/pg/s3)
+
+# 编译
 
 mvn antlr4:antlr4
+
 mvn clean package
 
+# 使用
+
+* spark SQL
+```kotlin
+val sql = "CREATE DATABASE IF NOT EXISTS bigdata"
+val statementData = SparkSQLHelper.getStatementData(sql)
+println(statementData.statement)
+```
+
+* presto SQL
+```kotlin
+val sql = "INSERT INTO adc.fsfd with recursive t as (select a,b,v from a.x)  select a,b,v from t"
+val statementData = PrestoSQLHelper.getStatementData(sql)
+println(statementData.statement)
+```
+
+* Tidb SQL/MySQL
+```kotlin
+val sql = "insert into bigdata.user select * from users a left outer join address b on a.address_id = b.id"
+val statementData = PrestoSQLHelper.getStatementData(sql)
+println(statementData.statement)
+```
+
+* Flink SQL
+```kotlin
+val sql = "CREATE SOURCE TABLE student_scores (\n" +
+        "  student_number varchar comment '学号', \n" +
+        "  student_name varchar comment '姓名', \n" +
+        "  subject varchar comment '学科',\n" +
+        "  score INT comment '成绩' \n" +
+        ")\n" +
+        "WITH (\n" +
+        "  type = \"dis\",\n" +
+        "  kafka.region = \"cn-north-1\"\n" +
+        ") TIMESTAMP BY proctime proctime1"
+
+val statementData = StreamSQLHelper.getStatementData(sql).get(0)
+println(statementData.statement)
+```