hive中sql解析出对应表和字段的实现
import java.io.IOException;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
import java.util.Stack;
import java.util.TreeMap; import org.apache.hadoop.hive.ql.parse.ASTNode;
import org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer;
import org.apache.hadoop.hive.ql.parse.HiveParser;
import org.apache.hadoop.hive.ql.parse.ParseDriver;
import org.apache.hadoop.hive.ql.parse.ParseException;
import org.apache.hadoop.hive.ql.parse.SemanticException;
/**
* 目的：获取AST中的表，列，以及对其所做的操作，如SELECT,INSERT
* 重点：获取SELECT操作中的表和列的相关操作。其他操作这判断到表级别。
* 实现思路：对AST深度优先遍历，遇到操作的token则判断当前的操作，
* 遇到TOK_TAB或TOK_TABREF则判断出当前操作的表，遇到子句则压栈当前处理，处理子句。
* 子句处理完，栈弹出。
*
*/
public class HiveParse { private static final String UNKNOWN = "UNKNOWN";
private Map<String, String> alias = new HashMap<String, String>();
private Map<String, String> cols = new TreeMap<String, String>();
private Map<String, String> colAlais = new TreeMap<String, String>();
private Set<String> tables = new HashSet<String>();
private Stack<String> tableNameStack = new Stack<String>();
private Stack<Oper> operStack = new Stack<Oper>();
private String nowQueryTable = "";//定义及处理不清晰，修改为query或from节点对应的table集合或许好点。目前正在查询处理的表可能不止一个。
private Oper oper ;
private boolean joinClause = false; private enum Oper {
SELECT, INSERT, DROP, TRUNCATE, LOAD, CREATETABLE, ALTER
}
public Set<String> parseIteral(ASTNode ast) {
Set<String> set= new HashSet<String>();//当前查询所对应到的表集合
prepareToParseCurrentNodeAndChilds(ast);
set.addAll(parseChildNodes(ast));
set.addAll(parseCurrentNode(ast ,set));
endParseCurrentNode(ast);
return set;
}
private void endParseCurrentNode(ASTNode ast){
if (ast.getToken() != null) {
switch (ast.getToken().getType()) {//join 从句结束，跳出join
case HiveParser.TOK_RIGHTOUTERJOIN:
case HiveParser.TOK_LEFTOUTERJOIN:
case HiveParser.TOK_JOIN:
joinClause = false;
break;
case HiveParser.TOK_QUERY:
break;
case HiveParser.TOK_INSERT:
case HiveParser.TOK_SELECT:
nowQueryTable = tableNameStack.pop();
oper = operStack.pop();
break;
}
}
}
private Set<String> parseCurrentNode(ASTNode ast, Set<String> set){
if (ast.getToken() != null) {
switch (ast.getToken().getType()) {
case HiveParser.TOK_TABLE_PARTITION:
// case HiveParser.TOK_TABNAME:
if (ast.getChildCount() != 2) {
String table = BaseSemanticAnalyzer
.getUnescapedName((ASTNode) ast.getChild(0));
if (oper == Oper.SELECT) {
nowQueryTable = table;
}
tables.add(table + "\t" + oper);
}
break; case HiveParser.TOK_TAB:// outputTable
String tableTab = BaseSemanticAnalyzer
.getUnescapedName((ASTNode) ast.getChild(0));
if (oper == Oper.SELECT) {
nowQueryTable = tableTab;
}
tables.add(tableTab + "\t" + oper);
break;
case HiveParser.TOK_TABREF:// inputTable
ASTNode tabTree = (ASTNode) ast.getChild(0);
String tableName = (tabTree.getChildCount() == 1) ? BaseSemanticAnalyzer
.getUnescapedName((ASTNode) tabTree.getChild(0))
: BaseSemanticAnalyzer
.getUnescapedName((ASTNode) tabTree.getChild(0))
+ "." + tabTree.getChild(1);
if (oper == Oper.SELECT) {
if(joinClause && !"".equals(nowQueryTable) ){
nowQueryTable += "&"+tableName;//
}else{
nowQueryTable = tableName;
}
set.add(tableName);
}
tables.add(tableName + "\t" + oper);
if (ast.getChild(1) != null) {
String alia = ast.getChild(1).getText().toLowerCase();
alias.put(alia, tableName);//sql6 p别名在tabref只对应为一个表的别名。
}
break;
case HiveParser.TOK_TABLE_OR_COL:
if (ast.getParent().getType() != HiveParser.DOT) {
String col = ast.getChild(0).getText().toLowerCase();
if (alias.get(col) == null
&& colAlais.get(nowQueryTable + "." + col) == null) {
if(nowQueryTable.indexOf("&") > 0){//sql23
cols.put(UNKNOWN + "." + col, "");
}else{
cols.put(nowQueryTable + "." + col, "");
}
}
}
break;
case HiveParser.TOK_ALLCOLREF:
cols.put(nowQueryTable + ".*", "");
break;
case HiveParser.TOK_SUBQUERY:
if (ast.getChildCount() == 2) {
String tableAlias = unescapeIdentifier(ast.getChild(1)
.getText());
String aliaReal = "";
for(String table : set){
aliaReal+=table+"&";
}
if(aliaReal.length() !=0){
aliaReal = aliaReal.substring(0, aliaReal.length()-1);
}
// alias.put(tableAlias, nowQueryTable);//sql22
alias.put(tableAlias, aliaReal);//sql6
// alias.put(tableAlias, "");// just store alias
}
break; case HiveParser.TOK_SELEXPR:
if (ast.getChild(0).getType() == HiveParser.TOK_TABLE_OR_COL) {
String column = ast.getChild(0).getChild(0).getText()
.toLowerCase();
if(nowQueryTable.indexOf("&") > 0){
cols.put(UNKNOWN + "." + column, "");
}else if (colAlais.get(nowQueryTable + "." + column) == null) {
cols.put(nowQueryTable + "." + column, "");
}
} else if (ast.getChild(1) != null) {// TOK_SELEXPR (+
// (TOK_TABLE_OR_COL id)
// 1) dd
String columnAlia = ast.getChild(1).getText().toLowerCase();
colAlais.put(nowQueryTable + "." + columnAlia, "");
}
break;
case HiveParser.DOT:
if (ast.getType() == HiveParser.DOT) {
if (ast.getChildCount() == 2) {
if (ast.getChild(0).getType() == HiveParser.TOK_TABLE_OR_COL
&& ast.getChild(0).getChildCount() == 1
&& ast.getChild(1).getType() == HiveParser.Identifier) {
String alia = BaseSemanticAnalyzer
.unescapeIdentifier(ast.getChild(0)
.getChild(0).getText()
.toLowerCase());
String column = BaseSemanticAnalyzer
.unescapeIdentifier(ast.getChild(1)
.getText().toLowerCase());
String realTable = null;
if (!tables.contains(alia + "\t" + oper)
&& alias.get(alia) == null) {// [b SELECT, a
// SELECT]
alias.put(alia, nowQueryTable);
}
if (tables.contains(alia + "\t" + oper)) {
realTable = alia;
} else if (alias.get(alia) != null) {
realTable = alias.get(alia);
}
if (realTable == null || realTable.length() == 0 || realTable.indexOf("&") > 0) {
realTable = UNKNOWN;
}
cols.put(realTable + "." + column, ""); }
}
}
break;
case HiveParser.TOK_ALTERTABLE_ADDPARTS:
case HiveParser.TOK_ALTERTABLE_RENAME:
case HiveParser.TOK_ALTERTABLE_ADDCOLS:
ASTNode alterTableName = (ASTNode) ast.getChild(0);
tables.add(alterTableName.getText() + "\t" + oper);
break;
}
}
return set;
}
private Set<String> parseChildNodes(ASTNode ast){
Set<String> set= new HashSet<String>();
int numCh = ast.getChildCount();
if (numCh > 0) {
for (int num = 0; num < numCh; num++) {
ASTNode child = (ASTNode) ast.getChild(num);
set.addAll(parseIteral(child));
}
}
return set;
}
private void prepareToParseCurrentNodeAndChilds(ASTNode ast){
if (ast.getToken() != null) {
switch (ast.getToken().getType()) {//join 从句开始
case HiveParser.TOK_RIGHTOUTERJOIN:
case HiveParser.TOK_LEFTOUTERJOIN:
case HiveParser.TOK_JOIN:
joinClause = true;
break;
case HiveParser.TOK_QUERY:
tableNameStack.push(nowQueryTable);
operStack.push(oper);
nowQueryTable = "";//sql22
oper = Oper.SELECT;
break;
case HiveParser.TOK_INSERT:
tableNameStack.push(nowQueryTable);
operStack.push(oper);
oper = Oper.INSERT;
break;
case HiveParser.TOK_SELECT:
tableNameStack.push(nowQueryTable);
operStack.push(oper);
// nowQueryTable = nowQueryTable
// nowQueryTable = "";//语法树join
// 注释语法树sql9， 语法树join对应的设置为""的注释逻辑不符
oper = Oper.SELECT;
break;
case HiveParser.TOK_DROPTABLE:
oper = Oper.DROP;
break;
case HiveParser.TOK_TRUNCATETABLE:
oper = Oper.TRUNCATE;
break;
case HiveParser.TOK_LOAD:
oper = Oper.LOAD;
break;
case HiveParser.TOK_CREATETABLE:
oper = Oper.CREATETABLE;
break;
}
if (ast.getToken() != null
&& ast.getToken().getType() >= HiveParser.TOK_ALTERDATABASE_PROPERTIES
&& ast.getToken().getType() <= HiveParser.TOK_ALTERVIEW_RENAME) {
oper = Oper.ALTER;
}
}
}
public static String unescapeIdentifier(String val) {
if (val == null) {
return null;
}
if (val.charAt(0) == '`' && val.charAt(val.length() - 1) == '`') {
val = val.substring(1, val.length() - 1);
}
return val;
} private void output(Map<String, String> map) {
java.util.Iterator<String> it = map.keySet().iterator();
while (it.hasNext()) {
String key = it.next();
System.out.println(key + "\t" + map.get(key));
}
}
public void parse(ASTNode ast) {
parseIteral(ast);
System.out.println("***************表***************");
for (String table : tables) {
System.out.println(table);
}
System.out.println("***************列***************");
output(cols);
System.out.println("***************别名***************");
output(alias);
}
public static void main(String[] args) throws IOException, ParseException,
SemanticException {
ParseDriver pd = new ParseDriver();
// HiveConf conf = new HiveConf();
String sql1 = "Select * from zpc1";
String sql2 = "Select name,ip from zpc2 bieming where age > 10 and area in (select area from city)";
String sql3 = "Select d.name,d.ip from (select * from zpc3 where age > 10 and area in (select area from city)) d";
String sql4 = "create table zpc(id string, name string)";
String sql5 = "insert overwrite table tmp1 PARTITION (partitionkey='2008-08-15') select * from tmp";
String sql6 = "FROM ( SELECT p.datekey datekey, p.userid userid, c.clienttype FROM detail.usersequence_client c JOIN fact.orderpayment p ON p.orderid = c.orderid "
+ " JOIN default.user du ON du.userid = p.userid WHERE p.datekey = 20131118 ) base INSERT OVERWRITE TABLE `test`.`customer_kpi` SELECT base.datekey, "
+ " base.clienttype, count(distinct base.userid) buyer_count GROUP BY base.datekey, base.clienttype";
String sql7 = "SELECT id, value FROM (SELECT id, value FROM p1 UNION ALL SELECT 4 AS id, 5 AS value FROM p1 limit 1) u";
String sql8 = "select dd from(select id+1 dd from zpc) d";
String sql9 = "select dd+1 from(select id+1 dd from zpc) d";
String sql10 = "truncate table zpc";
String sql11 = "drop table zpc";
String sql12 = "select * from tablename where unix_timestamp(cz_time) > unix_timestamp('2050-12-31 15:32:28')";
String sql15 = "alter table old_table_name RENAME TO new_table_name";
String sql16 = "select statis_date,time_interval,gds_cd,gds_nm,sale_cnt,discount_amt,discount_rate,price,etl_time,pay_amt from o2ostore.tdm_gds_monitor_rt where time_interval = from_unixtime(unix_timestamp(concat(regexp_replace(from_unixtime(unix_timestamp('201506181700', 'yyyyMMddHHmm')+ 84600 , 'yyyy-MM-dd HH:mm'),'-| |:',''),'00'),'yyyyMMddHHmmss'),'yyyy-MM-dd HH:mm:ss')";
String sql13 = "INSERT OVERWRITE TABLE u_data_new SELECT TRANSFORM (userid, movieid, rating, unixtime) USING 'python weekday_mapper.py' AS (userid, movieid, rating, weekday) FROM u_data";
String sql14 = "SELECT a.* FROM a JOIN b ON (a.id = b.id AND a.department = b.department)";
String sql17 = "LOAD DATA LOCAL INPATH \"/opt/data/1.txt\" OVERWRITE INTO TABLE table1";
String sql18 = "CREATE TABLE table1 ( column1 STRING COMMENT 'comment1', column2 INT COMMENT 'comment2' )";
String sql19 = "ALTER TABLE events RENAME TO 3koobecaf";
String sql20 = "ALTER TABLE invites ADD COLUMNS (new_col2 INT COMMENT 'a comment')";
String sql21 = "alter table mp add partition (b='1', c='1')";
String sql22 = "select login.uid from login day_login left outer join (select uid from regusers where dt='20130101') day_regusers on day_login.uid=day_regusers.uid where day_login.dt='20130101' and day_regusers.uid is null";
String sql23 = "select name from (select * from zpc left outer join def) d";
String parsesql = sql23;
HiveParse hp = new HiveParse();
System.out.println(parsesql);
ASTNode ast = pd.parse(parsesql);
System.out.println(ast.toStringTree());
hp.parse(ast);
}
}
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