Github user traflm commented on a diff in the pull request:
https://github.com/apache/incubator-trafodion/pull/683#discussion_r77372705
--- Diff:
core/sql/lib_mgmt/src/main/java/org/trafodion/libmgmt/FileMgmt.java ---
@@ -547,6 +558,64 @@ private static void checkFile(String fname, int
dataSize) throws SQLException {
throw new SQLException("Jar file size is over the
threshold[100Mb]");
}
}
+
+ public static void connectBy(String columnName, String originSql,
String startWithSql, String startWithKey,ResultSet[] rs) throws SQLException{
+ String[] out =new String[1];
+ getStartWith(startWithSql, startWithKey, out);
+ String[] s = out[0].replaceAll("^\\[|\\]$",
"").split("\\s*,\\s*");
+ String clause = " ";
+ for(int i = 0;i<s.length;i++){
+ if(i == s.length -1){
+ clause += columnName + "=\'" + s[i] + "\'";
+ }else{
+ clause += columnName + "=\'" + s[i] + "\' or ";
+ }
+ }
+ String connectSql = String.format(originSql, clause);
+ Connection conn = getConn();
+ PreparedStatement ps = conn.prepareStatement(connectSql);
+ try{
+ rs[0] = ps.executeQuery();
+ } catch(SQLException e){
+ LOG.error(originSql,e);
+ throw e;
+ }
+ }
+
+
+ public static void getStartWith(String sql, String startWithKey,
String[] out) throws SQLException{
+ String sqlTest = String.format(sql, startWithKey);
+ int searchLevel = 0;
+ ArrayList<String> ids = new ArrayList<String>();
+ Connection conn = getConn();
+ PreparedStatement ps = conn.prepareStatement(sqlTest);
+ try{
+ ids.addAll(bfsSearch(sql,startWithKey,searchLevel,ps));
+ out[0]= Arrays.toString(ids.toArray());
+ } catch(SQLException e){
+ LOG.error(sql,e);
+ throw e;
+ }
+ }
+
+ private static ArrayList<String> bfsSearch(String sql, String
startWithKey,int searchLevel, PreparedStatement ps) throws SQLException{
--- End diff --
@zellerh , the SPJ can now create volatile table, that bug is already fixed
recently in T2 driver.
Agree with Han's opinion. using a table to hold intermediate result is more
generic. And the current solution is still serial, or did I misunderstand?
After getting all the start seeds, it should be able to spawn multiple
threads to do it in parallel, but using volatile table and using SQL's parallel
infrastructure seems a better approach.
It is not easy to write a generic one, but this will be a very useful SPJ,
so thanks for the effort.
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