自己動手寫數據庫系統: 實現一個小型 SQL 解釋器 -上-
數據庫系統有一個核心部件,那就是 SQL 解釋器。用過 mySQL 的同學都知道,我們需要寫一系列由 SQL 語言組成的代碼來驅動數據庫的運行,由此它就必須要有一個 SQL 語言解釋器來解讀 SQL 代碼,然後根據代碼的意圖來驅動數據庫執行相應的操作,本節我們就完成一個簡單的 SQL 解釋器。
解釋器的原理基於編譯原理,我在 B 站上專門有視頻解釋編譯原理算法,因此我在這裏不再贅述。實現一個解釋器的首要步驟就是完成一個詞法解析器,我在 B 站編譯原理視頻中實現過一個小型編譯器 (dragon-compiler),因此我將其對應的詞法解析器直接拿過來稍作改動,讓其能對 SQL 代碼進行詞法解析。首先我們把其中的 lexer 部分直接拷貝到我們現在的項目,打開其中的 token.go 文件,我們首先修改其中 token 的定義,將 SQL 語言中關鍵字的定義添加進去,然後去除與 SQL 無關的定義,修改後代碼如下:
package lexer
type Tag uint32
const (
//AND 對應SQL關鍵字
AND Tag = iota + 256
//BREAK
//DO
EQ
FALSE
GE
ID
//IF
//ELSE
INDEX
LE
INT
FLOAT
MINUS
PLUS
NE
NUM
//OR
REAL
//TRUE
//WHILE
LEFT_BRACE // "{"
RIGHT_BRACE // "}"
LEFT_BRACKET //"("
RIGHT_BRACKET //")"
AND_OPERATOR
OR_OPERATOR
ASSIGN_OPERATOR
NEGATE_OPERATOR
LESS_OPERATOR
GREATER_OPERATOR
BASIC //對應int , float, bool, char 等類型定義
//TEMP //對應中間代碼的臨時寄存器變量
//SEMICOLON
//新增SQL對應關鍵字
SELECT
FROM
WHERE
INSERT
INTO
VALUES
DELETE
UPDATE
SET
CREATE
TABLE
INT
VARCHAR
VIEW
AS
INDEX
ON
COMMA
STRING
//SQL關鍵字定義結束
EOF
ERROR
)
var token_map = make(map[Tag]string)
func init() {
//初始化SQL關鍵字對應字符串
token_map[AND] = "AND"
token_map[SELECT] = "SELECT"
token_map[WHERE] = "where"
token_map[INSERT] = "INSERT"
token_map[INTO] = "INTO"
token_map[VALUES] = "VALUES"
token_map[DELETE] = "DELETE"
token_map[UPDATE] = "UPDATE"
token_map[SET] = "SET"
token_map[CREATE] = "CREATE"
token_map[TABLE] = "TABLE"
token_map[INT] = "INT"
token_map[VARCHAR] = "VARCHAR"
token_map[VIEW] = "VIEW"
token_map[AS] = "AS"
token_map[INDEX] = "INDEX"
token_MAP[ON] = "ON"
token_map[COMMA] = ","
token_map[BASIC] = "BASIC"
//token_map[DO] = "do"
//token_map[ELSE] = "else"
token_map[EQ] = "EQ"
token_map[FALSE] = "FALSE"
token_map[GE] = "GE"
token_map[ID] = "ID"
//token_map[IF] = "if"
token_map[INT] = "int"
token_map[FLOAT] = "float"
token_map[LE] = "<="
token_map[MINUS] = "-"
token_map[PLUS] = "+"
token_map[NE] = "!="
token_map[NUM] = "NUM"
token_map[OR] = "OR"
token_map[REAL] = "REAL"
//token_map[TEMP] = "t"
token_map[TRUE] = "TRUE"
//token_map[WHILE] = "while"
//token_map[DO] = "do"
//token_map[BREAK] = "break"
token_map[AND_OPERATOR] = "&"
token_map[OR_OPERATOR] = "|"
token_map[ASSIGN_OPERATOR] = "="
token_map[NEGATE_OPERATOR] = "!"
token_map[LESS_OPERATOR] = "<"
token_map[GREATER_OPERATOR] = ">"
token_map[LEFT_BRACE] = "{"
token_map[RIGHT_BRACE] = "}"
token_map[LEFT_BRACKET] = "("
token_map[RIGHT_BRACKET] = ")"
token_map[EOF] = "EOF"
token_map[ERROR] = "ERROR"
//token_map[SEMICOLON] = ";"
}
type Token struct {
lexeme string
Tag Tag
}
func (t *Token) ToString() string {
if t.lexeme == "" {
return token_map[t.Tag]
}
return t.lexeme
}
func NewToken(tag Tag) Token {
return Token{
lexeme: "",
Tag: tag,
}
}
func NewTokenWithString(tag Tag, lexeme string) *Token {
return &Token{
lexeme: lexeme,
Tag: tag,
}
}
在上面代碼修改中,我們把原來 C 語言的關鍵字去掉,增加了一系列 SQL 語言對應的關鍵字。打開文件 word_token.go,做如下修改:
package lexer
type Word struct {
lexeme string
Tag Token
}
func NewWordToken(s string, tag Tag) Word {
return Word{
lexeme: s,
Tag: NewToken(tag),
}
}
func (w *Word) ToString() string {
return w.lexeme
}
func GetKeyWords() []Word {
key_words := []Word{}
key_words = append(key_words, NewWordToken("||", OR))
key_words = append(key_words, NewWordToken("==", EQ))
key_words = append(key_words, NewWordToken("!=", NE))
key_words = append(key_words, NewWordToken("<=", LE))
key_words = append(key_words, NewWordToken(">=", GE))
//增加SQL語言對應關鍵字
key_words = append(key_words, NewWordToken("AND", AND))
key_words = append(key_words, NewWordToken("SELECT", SELECT))
key_words = append(key_words, NewWordToken("FROM", FROM))
key_words = append(key_words, NewWordToken("INSERT", INSERT))
key_words = append(key_words, NewWordToken("INTO", INTO))
key_words = append(key_words, NewWordToken("VALUES", VALUES))
key_words = append(key_words, NewWordToken("DELETE", DELETE))
key_words = append(key_words, NewWordToken("UPDATE", UPDATE))
key_words = append(key_words, NewWordToken("SET", SET))
key_words = append(key_words, NewWordToken("CREATE", CREATE))
key_words = append(key_words, NewWordToken("TABLE", TABLE))
key_words = append(key_words, NewWordToken("INT", INT))
key_words = append(key_words, NewWordToken("VARCHAR", VARCHAR))
key_words = append(key_words, NewWordToken("VIEW", VIEW))
key_words = append(key_words, NewWordToken("AS", AS))
key_words = append(key_words, NewWordToken("INDEX", INDEX))
key_words = append(key_words, NewWordToken("ON", ON))
//key_words = append(key_words, NewWordToken("minus", MINUS))
//key_words = append(key_words, NewWordToken("true", TRUE))
//key_words = append(key_words, NewWordToken("false", FALSE))
//key_words = append(key_words, NewWordToken("if", IF))
//key_words = append(key_words, NewWordToken("else", ELSE))
//增加while, do關鍵字
//key_words = append(key_words, NewWordToken("while", WHILE))
//key_words = append(key_words, NewWordToken("do", DO))
//key_words = append(key_words, NewWordToken("break", BREAK))
//添加類型定義
//key_words = append(key_words, NewWordToken("int", BASIC))
//key_words = append(key_words, NewWordToken("float", BASIC))
//key_words = append(key_words, NewWordToken("bool", BASIC))
//key_words = append(key_words, NewWordToken("char", BASIC))
return key_words
}
這裏的修改中也是把原來對應 C 語言的關鍵字去掉,增加上 SQL 語言的關鍵字定義。除了這些修改外,lexer 的基本邏輯沒有什麼變化,其代碼如下 (lexer.go):
package lexer
import (
"bufio"
"strconv"
"strings"
"unicode"
)
type Lexer struct {
Lexeme string
lexemeStack []string
tokenStack []Token
peek byte
Line uint32
reader *bufio.Reader
read_pointer int
key_words map[string]Token
}
func NewLexer(source string) Lexer {
str := strings.NewReader(source)
source_reader := bufio.NewReaderSize(str, len(source))
lexer := Lexer{
Line: uint32(1),
reader: source_reader,
key_words: make(map[string]Token),
}
lexer.reserve()
return lexer
}
func (l *Lexer) ReverseScan() {
/*
back_len := len(l.Lexeme)
只能un read 一個字節
for i := 0; i < back_len; i++ {
l.reader.UnreadByte()
}
*/
if l.read_pointer > 0 {
l.read_pointer = l.read_pointer - 1
}
}
func (l *Lexer) reserve() {
key_words := GetKeyWords()
for _, key_word := range key_words {
l.key_words[key_word.ToString()] = key_word.Tag
}
}
func (l *Lexer) Readch() error {
char, err := l.reader.ReadByte() //提前讀取下一個字符
l.peek = char
return err
}
func (l *Lexer) ReadCharacter(c byte) (bool, error) {
chars, err := l.reader.Peek(1)
if err != nil {
return false, err
}
peekChar := chars[0]
if peekChar != c {
return false, nil
}
l.Readch() //越過當前peek的字符
return true, nil
}
func (l *Lexer) UnRead() error {
return l.reader.UnreadByte()
}
func (l *Lexer) Scan() (Token, error) {
if l.read_pointer < len(l.lexemeStack) {
l.Lexeme = l.lexemeStack[l.read_pointer]
token := l.tokenStack[l.read_pointer]
l.read_pointer = l.read_pointer + 1
return token, nil
} else {
l.read_pointer = l.read_pointer + 1
}
for {
err := l.Readch()
if err != nil {
return NewToken(ERROR), err
}
if l.peek == ' ' || l.peek == '\t' {
continue
} else if l.peek == '\n' {
l.Line = l.Line + 1
} else {
break
}
}
l.Lexeme = ""
switch l.peek {
case ',':
l.Lexeme = ","
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(COMMA)
l.tokenStack = append(l.tokenStack, token)
return token, nil
case '{':
l.Lexeme = "{"
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(LEFT_BRACE)
l.tokenStack = append(l.tokenStack, token)
return token, nil
case '}':
l.Lexeme = "}"
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(RIGHT_BRACE)
l.tokenStack = append(l.tokenStack, token)
return token, nil
case '+':
l.Lexeme = "+"
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(PLUS)
l.tokenStack = append(l.tokenStack, token)
return token, nil
case '-':
l.Lexeme = "-"
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(MINUS)
l.tokenStack = append(l.tokenStack, token)
return token, nil
case '(':
l.Lexeme = "("
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(LEFT_BRACKET)
l.tokenStack = append(l.tokenStack, token)
return token, nil
case ')':
l.Lexeme = ")"
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(RIGHT_BRACKET)
l.tokenStack = append(l.tokenStack, token)
return token, nil
case '&':
l.Lexeme = "&"
if ok, err := l.ReadCharacter('&'); ok {
l.Lexeme = "&&"
word := NewWordToken("&&", AND)
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
l.tokenStack = append(l.tokenStack, word.Tag)
return word.Tag, err
} else {
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(AND_OPERATOR)
l.tokenStack = append(l.tokenStack, token)
return token, err
}
case '|':
l.Lexeme = "|"
if ok, err := l.ReadCharacter('|'); ok {
l.Lexeme = "||"
word := NewWordToken("||", OR)
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
l.tokenStack = append(l.tokenStack, word.Tag)
return word.Tag, err
} else {
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(OR_OPERATOR)
l.tokenStack = append(l.tokenStack, token)
return token, err
}
case '=':
l.Lexeme = "="
if ok, err := l.ReadCharacter('='); ok {
l.Lexeme = "=="
word := NewWordToken("==", EQ)
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
l.tokenStack = append(l.tokenStack, word.Tag)
return word.Tag, err
} else {
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(ASSIGN_OPERATOR)
l.tokenStack = append(l.tokenStack, token)
return token, err
}
case '!':
l.Lexeme = "!"
if ok, err := l.ReadCharacter('='); ok {
l.Lexeme = "!="
word := NewWordToken("!=", NE)
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
l.tokenStack = append(l.tokenStack, word.Tag)
return word.Tag, err
} else {
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(NEGATE_OPERATOR)
l.tokenStack = append(l.tokenStack, token)
return token, err
}
case '<':
l.Lexeme = "<"
if ok, err := l.ReadCharacter('='); ok {
l.Lexeme = "<="
word := NewWordToken("<=", LE)
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
l.tokenStack = append(l.tokenStack, word.Tag)
return word.Tag, err
} else {
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(LESS_OPERATOR)
l.tokenStack = append(l.tokenStack, token)
return token, err
}
case '>':
l.Lexeme = ">"
if ok, err := l.ReadCharacter('='); ok {
l.Lexeme = ">="
word := NewWordToken(">=", GE)
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
l.tokenStack = append(l.tokenStack, word.Tag)
return word.Tag, err
} else {
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(GREATER_OPERATOR)
l.tokenStack = append(l.tokenStack, token)
return token, err
}
case '"':
for {
err := l.Readch()
if l.peek == '"' {
haveSeenQuote = false
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(STRING)
l.tokenStack = append(l.tokenStack, token)
return token, nil
}
if err != nil {
panic("string no end with quota")
}
l.Lexeme += string(l.peek)
}
}
if unicode.IsNumber(rune(l.peek)) {
var v int
var err error
for {
num, err := strconv.Atoi(string(l.peek))
if err != nil {
if l.peek != 0 { //l.peek == 0 意味着已經讀完所有字符
l.UnRead() //將字符放回以便下次掃描
}
break
}
v = 10*v + num
l.Lexeme += string(l.peek)
l.Readch()
}
if l.peek != '.' {
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(NUM)
token.lexeme = l.Lexeme
l.tokenStack = append(l.tokenStack, token)
return token, err
}
l.Lexeme += string(l.peek)
l.Readch() //越過 "."
x := float64(v)
d := float64(10)
for {
l.Readch()
num, err := strconv.Atoi(string(l.peek))
if err != nil {
if l.peek != 0 { //l.peek == 0 意味着已經讀完所有字符
l.UnRead() //將字符放回以便下次掃描
}
break
}
x = x + float64(num)/d
d = d * 10
l.Lexeme += string(l.peek)
}
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token := NewToken(REAL)
token.lexeme = l.Lexeme
l.tokenStack = append(l.tokenStack, token)
return token, err
}
if unicode.IsLetter(rune(l.peek)) {
var buffer []byte
for {
buffer = append(buffer, l.peek)
l.Lexeme += string(l.peek)
l.Readch()
if !unicode.IsLetter(rune(l.peek)) {
if l.peek != 0 { //l.peek == 0 意味着已經讀完所有字符
l.UnRead() //將字符放回以便下次掃描
}
break
}
}
s := string(buffer)
token, ok := l.key_words[s]
if ok {
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
l.tokenStack = append(l.tokenStack, token)
return token, nil
}
l.lexemeStack = append(l.lexemeStack, l.Lexeme)
token = NewToken(ID)
token.lexeme = l.Lexeme
l.tokenStack = append(l.tokenStack, token)
return token, nil
}
return NewToken(EOF), nil
}
爲了節省篇幅,這裏我沒有把所有文件對應改動都貼出來,請在 B 站搜索”coding 迪斯尼” 查看詳細內容,下面我們調用上面實現的代碼試試效果,在 main.go 中添加如下測試代碼:
import (
"fmt"
"lexer"
)
func main() {
sqlLexer := lexer.NewLexer("select name , sex from student where age > 20")
var tokens []*lexer.Token
tokens = append(tokens, lexer.NewTokenWithString(lexer.SELECT, "select"))
tokens = append(tokens, lexer.NewTokenWithString(lexer.ID, "name"))
tokens = append(tokens, lexer.NewTokenWithString(lexer.COMMA, ","))
tokens = append(tokens, lexer.NewTokenWithString(lexer.ID, "sex"))
tokens = append(tokens, lexer.NewTokenWithString(lexer.FROM, "from"))
tokens = append(tokens, lexer.NewTokenWithString(lexer.ID, "student"))
tokens = append(tokens, lexer.NewTokenWithString(lexer.WHERE, "where"))
tokens = append(tokens, lexer.NewTokenWithString(lexer.ID, "age"))
tokens = append(tokens, lexer.NewTokenWithString(lexer.GREATER_OPERATOR, ">"))
tokens = append(tokens, lexer.NewTokenWithString(lexer.NUM, "20"))
for _, tok := range tokens {
sqlTok, err := sqlLexer.Scan()
if err != nil {
fmt.Println("lexer error")
break
}
if sqlTok.Tag != tok.Tag {
errText := fmt.Sprintf("token err, expect: %v, but got %v\n", tok, sqlTok)
fmt.Println(errText)
break
}
}
fmt.Println("lexer testing pass...")
}
通過運行可以發現,最後一句”lexer testing pass…” 能正常打印出來,因此詞法解析器的基本邏輯是正確的。接下來看看語法解析的實現,基於篇幅所限,這裏我們只處理 SQL 的一小部分,有興趣的同學可以自行補全我們這裏完成的 SQL 解釋器,首先我們先定義要解析的 SQL 語法部分:
FIELD -> ID
CONSTANT -> STRING | NUM
EXPRESSION -> FIELD | CONSTANT
TERM -> EXPRESSION EQ EXPRESSION
PREDICATE -> TERM (AND PREDICATE)?
QUERY -> SELECT SELECT_LIST FROM TABLE_LIST (WHERE PREDICATE)?
SELECTION_LIST -> FIELD (COMMA SELECTION_LIST)?
TABLE_LIST -> ID (COMMA TABLE_LIST)?
UPDATE_COMMAND -> INSERT_COMMAND | DELETE_COMMAND | MODIFY_COMMAND | CREATE_COMMAND
CREATE_COMMAND -> CREATE_TABLE | CREATE_VIEW | CREATE_INDEX
INSERT_COMMAND -> INSERT INTO ID LEFT_BRACE FIELD_LIST RIGHT_BRACE VALUES CONSTANT_LIST
FIELD_LIST -> FIELD (COMMA FIELD_LIST)?
CONSTANT_LIST -> CONSTANT (COMMA CONSTANT_LIST)?
DELETE_COMMAND -> DELETE FROM ID (WHERE PREDICATE)?
MODIFY_COMMAND -> UPDATE ID SET FIELD EQ EXPRESSION (WHERE PREDICATE)?
CREATE_TABLE -> CREATE TABLE FIELD_DEFS
FIELD_DEFS -> FIELD_DEF (COMMA FIELD_DEFS)?
FIELD_DEF -> ID TYPE_DEF
TYPE_DEF -> INT | VARCHAR LEFT_BRACE NUM RIGHT_BRACE
CREATE_VIEW -> CREATE VIEW ID AS QUERY
CREATE_INDEX -> CREATE INDEX ID ON ID LEFT_BRACE FIELD RIGHT_BRACE
接下來我們看看如何通過上面語法規則對 SQL 代碼進行解析。這裏我們採用自頂向下的遞歸式解析法,具體算法過程可以參考我在 b 站的編譯原理視頻。在工程中新建一個文件夾叫 parser,然後再裏面添加 parser.go 文件,爲了簡單起見,我們一次完成一小部分,然後調用完成的代碼看看結果是否正確,首先我們完成 TERM 這條規則的解析,代碼如下:
package parser
import (
"lexer"
"query"
"strconv"
"strings"
)
type SQLParser struct {
sqlLexer lexer.Lexer
}
func NewSQLParser(s string) *SQLParser {
return &SQLParser{
sqlLexer: lexer.NewLexer(s),
}
}
func (p *SQLParser) Field() (lexer.Token, string) {
tok, err := p.sqlLexer.Scan()
if err != nil {
panic(err)
}
if tok.Tag != lexer.ID {
panic("Tag of FIELD is no ID")
}
return tok, p.sqlLexer.Lexeme
}
func (p *SQLParser) Constant() *query.Constant {
tok, err := p.sqlLexer.Scan()
if err != nil {
panic(err)
}
switch tok.Tag {
case lexer.STRING:
s := strings.Clone(p.sqlLexer.Lexeme)
return query.NewConstantWithString(&s)
break
case lexer.NUM:
//注意堆棧變量在函數執行後是否會變得無效
v, err := strconv.Atoi(p.sqlLexer.Lexeme)
if err != nil {
panic("string is not a number")
}
return query.NewConstantWithInt(&v)
break
default:
panic("token is not string or num when parsing constant")
}
return nil
}
func (p *SQLParser) Expression() *query.Expression {
tok, err := p.sqlLexer.Scan()
if err != nil {
panic(err)
}
if tok.Tag == lexer.ID {
p.sqlLexer.ReverseScan()
_, str := p.Field()
return query.NewExpressionWithString(str)
} else {
p.sqlLexer.ReverseScan()
constant := p.Constant()
return query.NewExpressionWithConstant(constant)
}
}
func (p *SQLParser) Term() *query.Term {
lhs := p.Expression()
tok, err := p.sqlLexer.Scan()
if err != nil {
panic(err)
}
if tok.Tag != lexer.ASSIGN_OPERATOR {
panic("should have = in middle of term")
}
rhs := p.Expression()
return query.NewTerm(lhs, rhs)
}
TERM 規則解析的是類似這樣的表達式”age <20”, “name = ‘jim’ “等嚐出現在 where 右邊的表達式。我們調用上面解析代碼進行測試看看,在 main.go 中輸入如下代碼:
import (
"fmt"
"parser"
)
func main() {
sqlParser := parser.NewSQLParser("age = 20")
term := sqlParser.Term()
s := fmt.Sprintf("term: %v\n", term)
fmt.Println(s)
}
請到 B 站查看我對上面代碼進行調試演示的過程,這樣更容易理解和喫透代碼邏輯。接下來我們繼續完成如下語法的解析:
PREDICATE -> TERM (AND PREDICATE)?
QUERY -> SELECT SELECT_LIST FROM TABLE_LIST (WHERE PREDICATE)?
SELECTION_LIST -> FIELD (COMMA SELECTION_LIST)?
TABLE_LIST -> ID (COMMA TABLE_LIST)?
這裏需要注意的是 PREDICATE 對應的是 where 後面的部分,例如 where a > b and c <d,這條語句中”a>b and c < d” 就是語法中的 PREDICATE,對應代碼如下:
func (p *SQLParser) Predicate() *query.Predicate {
//predicate 對應where 語句後面的判斷部分,例如where a > b and c < b
//這裏的a > b and c < b就是predicate
pred := query.NewPredicateWithTerms(p.Term())
tok, err := p.sqlLexer.Scan()
// 如果語句已經讀取完則直接返回
if err != nil && fmt.Sprint(err) != "EOF" {
panic(err)
}
if tok.Tag == lexer.AND {
pred.ConjoinWith(p.Predicate())
} else {
p.sqlLexer.ReverseScan()
}
return pred
}
func (p *SQLParser) Query() *QueryData {
//query 解析select 語句
tok, err := p.sqlLexer.Scan()
if err != nil {
panic(err)
}
if tok.Tag != lexer.SELECT {
panic("token is not select")
}
fields := p.SelectList()
tok, err = p.sqlLexer.Scan()
if err != nil {
panic(err)
}
if tok.Tag != lexer.FROM {
panic("token is not from")
}
//獲取select語句作用的表名
tables := p.TableList()
//判斷select語句是否有where子句
tok, err = p.sqlLexer.Scan()
if err != nil {
panic(err)
}
pred := query.NewPredicate()
if tok.Tag == lexer.WHERE {
pred = p.Predicate()
} else {
p.sqlLexer.ReverseScan()
}
return NewQueryData(fields, tables, pred)
}
func (p *SQLParser) SelectList() []string {
//SELECT_LIST 對應select關鍵字後面的列名稱
l := make([]string, 0)
_, field := p.Field()
l = append(l, field)
tok, err := p.sqlLexer.Scan()
if err != nil {
panic(err)
}
if tok.Tag == lexer.COMMA {
//selct 多個列,每個列由逗號隔開
selectList := p.SelectList()
l = append(l, selectList...)
} else {
p.sqlLexer.ReverseScan()
}
return l
}
func (p *SQLParser) TableList() []string {
//TBALE_LSIT對應from後面的表名
l := make([]string, 0)
tok, err := p.sqlLexer.Scan()
if err != nil {
panic(err)
}
if tok.Tag != lexer.ID {
panic("token is not id")
}
l = append(l, p.sqlLexer.Lexeme)
tok, err = p.sqlLexer.Scan()
if err != nil {
panic(err)
}
if tok.Tag == lexer.COMMA {
tableList := p.TableList()
l = append(l, tableList...)
} else {
p.sqlLexer.ReverseScan()
}
return l
}
新增一個 go 文件名爲 query_data.go,我們使用數據結構 QueryData 來存儲 select 語句的解析結果,起內容如下:
package parser
//QueryData 用來描述select語句的操作信息
import (
"query"
)
type QueryData struct {
fields []string
tables []string
pred *query.Predicate
}
func NewQueryData(fields []string, tables []string, pred *query.Predicate) *QueryData {
return &QueryData{
fields: fields,
tables: tables,
pred: pred,
}
}
func (q *QueryData) Fields() []string {
return q.fields
}
func (q *QueryData) Tables() []string {
return q.tables
}
func (q *QueryData) Pred() *query.Predicate {
return q.pred
}
func (q *QueryData) ToString() string {
result := "select "
for _, fldName := range q.fields {
result += fldName + ", "
}
// 去掉最後一個逗號
result = result[:len(result)-1]
result += " from "
for _, tableName := range q.tables {
result += tableName + ", "
}
// 去掉最後一個逗號
result = result[:len(result)-1]
predStr := q.pred.ToString()
if predStr != "" {
result += " where " + predStr
}
return result
}
假設有 SQL 語句如下:
select age, name, sex from student, department where age = 20 and sex = "male"
那麼我們就能調用上面代碼中的 Query 來啓動解析,其中 select 後面的列表名也就是”age, name, sex” 由函數 SelectList 負責解析,from 後面的表名由函數 TableList 負責解析,where 後面的內容由 Predicate 解析,其中他會把 age = 20 和 sex = “male“ 解析成 expression,我們在 main.go 中添加如下代碼,以便調用起上面代碼:
import (
"fmt"
"parser"
)
func main() {
sqlParser := parser.NewSQLParser("select age, name, sex from student, department where age = 20 and sex = \"male\" ")
queryData := sqlParser.Query()
fmt.Println(queryData.ToString())
}
具體的調試演示過程請大家參看 b 站上的視頻,通過調試演示我們才能更好的理解解析邏輯。由於本節內容較多,我們將其分割成幾個小節來處理。
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來源:https://mp.weixin.qq.com/s/xAGYvpmPKFrVnGQZSgAtxg