Optimized approach for Snowfake table search for string/list of strings from Java API - stored-procedures

Question

I need to search for string or list of strings Snowflake table using Java API and fetch all the matching rows and display in Angular UI. I am using dynamic SQL (like operator) to generate the query using information schema. I have created this stored procedure and its working. Do we have any better approach or any architectural patterns for this particular usecase.
Based on the search option (starts/ends with) decide the start and end character to be used with Like operator
Get all the varchar,char columns from the table by joining with information schema.
Build dynamic sql with these columns.
Build the json array based on the query result.
CREATE OR REPLACE PROCEDURE SEARCH_DATA(SCHEMA_NAME VARCHAR, TABLE_NAME VARCHAR, SEARCH_OPTION VARCHAR, KEYWORDS ARRAY)
RETURNS VARIANT
LANGUAGE JAVASCRIPT
EXECUTE AS OWNER
AS '
var searchStart = "";
var searchEnd = "";
if (SEARCH_OPTION == "Starts with")
{
searchEnd = "%";
}
else if (SEARCH_OPTION == "Ends with")
{
searchStart = "%";
}
else if (SEARCH_OPTION == "Contains")
{
searchStart = "%";
searchEnd = "%";
}
// Dynamically compose the SQL statement to execute.
var sqlCommand = "select c.column_name from information_schema.COLUMNS c JOIN information_schema.TABLES T ON T.table_name = c.table_name AND T.table_schema = c.table_schema WHERE T.table_schema = ''";
sqlCommand+= SCHEMA_NAME;
sqlCommand+= "'' AND T.table_name= ''";
sqlCommand+= TABLE_NAME;
sqlCommand+= "'' AND c.data_type NOT IN (''TIMESTAMP_TZ'',''BOOLEAN'',''NUMBER'') ORDER BY ordinal_position";
// Prepare statement.
var stmt = snowflake.createStatement({ sqlText: sqlCommand });
// Execute Statement
var rs = stmt.execute();
var columnArray = [];
var columnName = "";
while (rs.next())
{
columnName = rs.getColumnValue(''COLUMN_NAME'');
columnArray.push(columnName);
}
var queryPrefix = "SELECT ''dummy''"
for(var i=0; i< columnArray.length; i++)
{
queryPrefix += "," + columnArray[i];
}
queryPrefix+= " FROM " + SCHEMA_NAME + "." + TABLE_NAME;
var query = "";
for(var j=0; j< KEYWORDS.length; j++)
{
query += queryPrefix;
query += " WHERE (1=0";
for(var i=0; i< columnArray.length; i++)
{
query += " OR "+ columnArray[i] + " LIKE ''" + searchStart + KEYWORDS[j] + searchEnd + "''";
}
query += ")";
if(j < KEYWORDS.length - 1)
query += " UNION ";
}
// Prepare statement.
stmt = snowflake.createStatement({ sqlText: query });
// Execute Statement
rs = stmt.execute();
var resultArray = [];
var row_as_json = {};
while (rs.next())
{
// Put each row in a variable of type JSON.
row_as_json = {};
// For each column in the row...
for (var i=0; i< columnArray.length; i++)
{
row_as_json[columnArray[i]] = rs.getColumnValue(columnArray[i]);
}
// Add the row to the array of rows.
resultArray.push(row_as_json);
}
return resultArray;
';