mirror of
https://gitee.com/dromara/mayfly-go
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403 lines
14 KiB
Go
403 lines
14 KiB
Go
package postgres
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import (
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"database/sql"
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"fmt"
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"mayfly-go/internal/db/dbm/dbi"
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"mayfly-go/pkg/utils/anyx"
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"mayfly-go/pkg/utils/collx"
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"strings"
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"time"
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)
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type PgsqlDialect struct {
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dc *dbi.DbConn
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}
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// GetDbProgram 获取数据库程序模块，用于数据库备份与恢复
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func (pd *PgsqlDialect) GetDbProgram() (dbi.DbProgram, error) {
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return nil, fmt.Errorf("该数据库类型不支持数据库备份与恢复: %v", pd.dc.Info.Type)
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}
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func (pd *PgsqlDialect) BatchInsert(tx *sql.Tx, tableName string, columns []string, values [][]any, duplicateStrategy int) (int64, error) {
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// 执行批量insert sql，跟mysql一样 pg或高斯支持批量insert语法
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// insert into table_name (column1, column2, ...) values (value1, value2, ...), (value1, value2, ...), ...
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// 把二维数组转为一维数组
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var args []any
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for _, v := range values {
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args = append(args, v...)
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}
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// 构建占位符字符串 "($1, $2, $3), ($4, $5, $6), ..." 用于指定参数
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var placeholders []string
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for i := 0; i < len(args); i += len(columns) {
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var placeholder []string
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for j := 0; j < len(columns); j++ {
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placeholder = append(placeholder, fmt.Sprintf("$%d", i+j+1))
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}
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placeholders = append(placeholders, "("+strings.Join(placeholder, ", ")+")")
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}
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// 根据冲突策略生成后缀
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suffix := ""
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if pd.dc.Info.Type == dbi.DbTypeGauss {
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// 高斯db使用ON DUPLICATE KEY UPDATE 语法参考 https://support.huaweicloud.com/distributed-devg-v3-gaussdb/gaussdb-12-0607.html#ZH-CN_TOPIC_0000001633948138
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suffix = pd.gaussOnDuplicateStrategySql(duplicateStrategy, tableName, columns)
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} else {
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// pgsql 默认使用 on conflict 语法参考 http://www.postgres.cn/docs/12/sql-insert.html
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// vastbase语法参考 https://docs.vastdata.com.cn/zh/docs/VastbaseE100Ver3.0.0/doc/SQL%E8%AF%AD%E6%B3%95/INSERT.html
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// kingbase语法参考 https://help.kingbase.com.cn/v8/development/sql-plsql/sql/SQL_Statements_9.html#insert
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suffix = pd.pgsqlOnDuplicateStrategySql(duplicateStrategy, tableName, columns)
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}
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sqlStr := fmt.Sprintf("insert into %s (%s) values %s %s", pd.dc.GetMetaData().QuoteIdentifier(tableName), strings.Join(columns, ","), strings.Join(placeholders, ", "), suffix)
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// 执行批量insert sql
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return pd.dc.TxExec(tx, sqlStr, args...)
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}
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// pgsql默认唯一键冲突策略
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func (pd *PgsqlDialect) pgsqlOnDuplicateStrategySql(duplicateStrategy int, tableName string, columns []string) string {
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suffix := ""
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if duplicateStrategy == dbi.DuplicateStrategyIgnore {
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suffix = " \n on conflict do nothing"
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} else if duplicateStrategy == dbi.DuplicateStrategyUpdate {
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// 生成 on conflict () do update set column1 = excluded.column1, column2 = excluded.column2, ...
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var updateColumns []string
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for _, col := range columns {
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updateColumns = append(updateColumns, fmt.Sprintf("%s = excluded.%s", col, col))
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}
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// 查询唯一键名,拼接冲突sql
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_, keyRes, _ := pd.dc.Query("SELECT constraint_name FROM information_schema.table_constraints WHERE constraint_schema = $1 AND table_name = $2 AND constraint_type in ('PRIMARY KEY', 'UNIQUE') ", pd.currentSchema(), tableName)
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if len(keyRes) > 0 {
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for _, re := range keyRes {
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key := anyx.ToString(re["constraint_name"])
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if key != "" {
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suffix += fmt.Sprintf(" \n on conflict on constraint %s do update set %s \n", key, strings.Join(updateColumns, ", "))
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}
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}
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}
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}
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return suffix
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}
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// 高斯db唯一键冲突策略,使用ON DUPLICATE KEY UPDATE 参考：https://support.huaweicloud.com/distributed-devg-v3-gaussdb/gaussdb-12-0607.html#ZH-CN_TOPIC_0000001633948138
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func (pd *PgsqlDialect) gaussOnDuplicateStrategySql(duplicateStrategy int, tableName string, columns []string) string {
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suffix := ""
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metadata := pd.dc.GetMetaData()
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if duplicateStrategy == dbi.DuplicateStrategyIgnore {
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suffix = " \n ON DUPLICATE KEY UPDATE NOTHING"
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} else if duplicateStrategy == dbi.DuplicateStrategyUpdate {
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// 查出表里的唯一键涉及的字段
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var uniqueColumns []string
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indexs, err := metadata.GetTableIndex(tableName)
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if err == nil {
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for _, index := range indexs {
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if index.IsUnique {
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cols := strings.Split(index.ColumnName, ",")
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for _, col := range cols {
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if !collx.ArrayContains(uniqueColumns, strings.ToLower(col)) {
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uniqueColumns = append(uniqueColumns, strings.ToLower(col))
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}
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}
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}
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}
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}
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suffix = " \n ON DUPLICATE KEY UPDATE "
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for i, col := range columns {
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// ON DUPLICATE KEY UPDATE语句不支持更新唯一键字段，所以得去掉
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if !collx.ArrayContains(uniqueColumns, metadata.RemoveQuote(strings.ToLower(col))) {
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suffix += fmt.Sprintf("%s = excluded.%s", col, col)
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if i < len(columns)-1 {
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suffix += ", "
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}
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}
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}
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}
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return suffix
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}
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// 从连接信息中获取数据库和schema信息
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func (pd *PgsqlDialect) currentSchema() string {
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return pd.dc.Info.CurrentSchema()
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}
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func (pd *PgsqlDialect) CopyTable(copy *dbi.DbCopyTable) error {
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tableName := copy.TableName
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// 生成新表名,为老表明+_copy_时间戳
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newTableName := tableName + "_copy_" + time.Now().Format("20060102150405")
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// 执行根据旧表创建新表
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_, err := pd.dc.Exec(fmt.Sprintf("create table %s (like %s)", newTableName, tableName))
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if err != nil {
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return err
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}
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// 复制数据
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if copy.CopyData {
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go func() {
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_, _ = pd.dc.Exec(fmt.Sprintf("insert into %s select * from %s", newTableName, tableName))
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}()
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}
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// 查询旧表的自增字段名 重新设置新表的序列序列器
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_, res, err := pd.dc.Query(fmt.Sprintf("select column_name from information_schema.columns where table_name = '%s' and column_default like 'nextval%%'", tableName))
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if err != nil {
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return err
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}
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for _, re := range res {
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colName := anyx.ConvString(re["column_name"])
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if colName != "" {
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// 查询自增列当前最大值
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_, maxRes, err := pd.dc.Query(fmt.Sprintf("select max(%s) max_val from %s", colName, tableName))
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if err != nil {
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return err
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}
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maxVal := anyx.ConvInt(maxRes[0]["max_val"])
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// 序列起始值为1或当前最大值+1
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if maxVal <= 0 {
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maxVal = 1
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} else {
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maxVal += 1
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}
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// 之所以不用tableName_colName_seq是因为gauss会自动创建同名的序列，且无法修改序列起始值，所以直接使用新序列值
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newSeqName := fmt.Sprintf("%s_%s_copy_seq", newTableName, colName)
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// 创建自增序列，当前最大值为旧表最大值
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_, err = pd.dc.Exec(fmt.Sprintf("CREATE SEQUENCE %s START %d INCREMENT 1", newSeqName, maxVal))
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if err != nil {
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return err
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}
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// 将新表的自增主键序列与主键列相关联
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_, err = pd.dc.Exec(fmt.Sprintf("alter table %s alter column %s set default nextval('%s')", newTableName, colName, newSeqName))
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if err != nil {
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return err
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}
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}
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}
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return err
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}
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func (pd *PgsqlDialect) TransColumns(columns []dbi.Column) []dbi.Column {
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var commonColumns []dbi.Column
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for _, column := range columns {
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// 取出当前数据库类型
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arr := strings.Split(column.ColumnType, "(")
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ctype := arr[0]
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// 翻译为通用数据库类型
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t1 := commonColumnTypeMap[ctype]
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if t1 == "" {
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ctype = "varchar(2000)"
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} else {
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// 回写到列信息
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if len(arr) > 1 {
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ctype = t1 + "(" + arr[1]
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} else {
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ctype = t1
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}
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}
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column.ColumnType = ctype
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commonColumns = append(commonColumns, column)
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}
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return commonColumns
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}
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func (pd *PgsqlDialect) CreateTable(commonColumns []dbi.Column, tableInfo dbi.Table, dropOldTable bool) (int, error) {
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meta := pd.dc.GetMetaData()
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replacer := strings.NewReplacer(";", "", "'", "")
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if dropOldTable {
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_, _ = pd.dc.Exec(fmt.Sprintf("DROP TABLE IF EXISTS %s", tableInfo.TableName))
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}
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// 组装建表语句
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createSql := fmt.Sprintf("CREATE TABLE %s (\n", meta.QuoteIdentifier(tableInfo.TableName))
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fields := make([]string, 0)
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pks := make([]string, 0)
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columnComments := make([]string, 0)
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// 把通用类型转换为达梦类型
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for _, column := range commonColumns {
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// 取出当前数据库类型
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arr := strings.Split(column.ColumnType, "(")
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ctype := arr[0]
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// 翻译为通用数据库类型
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t1 := pgsqlColumnTypeMap[ctype]
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if t1 == "" {
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ctype = "varchar(2000)"
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} else {
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// 回写到列信息
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if len(arr) > 1 {
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if strings.Contains(strings.ToLower(t1), "int") {
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// 如果是数字，类型后不需要带长度
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ctype = t1
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} else if strings.Contains(strings.ToLower(t1), "char") {
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// 如果是字符串，长度翻倍
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match := bracketsRegexp.FindStringSubmatch(column.ColumnType)
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if len(match) > 1 {
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ctype = fmt.Sprintf("%s(%d)", t1, anyx.ConvInt(match[1])*2)
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} else {
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ctype = t1 + "(1000)"
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}
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} else {
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ctype = t1 + "(" + arr[1]
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}
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} else {
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ctype = t1
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}
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}
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column.ColumnType = ctype
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if column.IsPrimaryKey {
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pks = append(pks, meta.QuoteIdentifier(column.ColumnName))
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}
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fields = append(fields, pd.genColumnBasicSql(column))
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commentTmp := "comment on column %s.%s is '%s'"
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// 防止注释内含有特殊字符串导致sql出错
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comment := replacer.Replace(column.ColumnComment)
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columnComments = append(columnComments, fmt.Sprintf(commentTmp, column.TableName, column.ColumnName, comment))
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}
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createSql += strings.Join(fields, ",")
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if len(pks) > 0 {
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createSql += fmt.Sprintf(", PRIMARY KEY (%s)", strings.Join(pks, ","))
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}
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createSql += ")"
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tableCommentSql := ""
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if tableInfo.TableComment != "" {
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commentTmp := "comment on table %s is '%s'"
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tableCommentSql = fmt.Sprintf(commentTmp, tableInfo.TableName, replacer.Replace(tableInfo.TableComment))
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}
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columnCommentSql := strings.Join(columnComments, ";")
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sqls := make([]string, 0)
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if createSql != "" {
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sqls = append(sqls, createSql)
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}
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if tableCommentSql != "" {
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sqls = append(sqls, tableCommentSql)
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}
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if columnCommentSql != "" {
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sqls = append(sqls, columnCommentSql)
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}
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_, err := pd.dc.Exec(strings.Join(sqls, ";"))
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return 1, err
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}
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func (pd *PgsqlDialect) genColumnBasicSql(column dbi.Column) string {
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meta := pd.dc.GetMetaData()
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colName := meta.QuoteIdentifier(column.ColumnName)
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// 如果是自增类型，需要转换为serial
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if column.IsIdentity {
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if column.ColumnType == "int4" {
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column.ColumnType = "serial"
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} else if column.ColumnType == "int2" {
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column.ColumnType = "smallserial"
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} else if column.ColumnType == "int8" {
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column.ColumnType = "bigserial"
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} else {
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column.ColumnType = "bigserial"
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}
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return fmt.Sprintf(" %s %s NOT NULL", colName, column.ColumnType)
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}
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nullAble := ""
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if column.Nullable == "NO" {
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nullAble = " NOT NULL"
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// 如果字段不能为空，则设置默认值
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if column.ColumnDefault == "" {
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if collx.ArrayAnyMatches([]string{"char", "text", "lob"}, strings.ToLower(column.ColumnType)) {
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// 文本默认值为空字符串
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column.ColumnDefault = " "
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} else if collx.ArrayAnyMatches([]string{"int", "num"}, strings.ToLower(column.ColumnType)) {
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// 数字默认值为0
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column.ColumnDefault = "0"
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}
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}
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}
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defVal := "" // 默认值需要判断引号，如函数是不需要引号的 // 为了防止跨源函数不支持 当默认值是函数时，不需要设置默认值
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if column.ColumnDefault != "" && !strings.Contains(column.ColumnDefault, "(") {
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// 哪些字段类型默认值需要加引号
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mark := false
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if collx.ArrayAnyMatches([]string{"char", "text", "date", "time", "lob"}, strings.ToLower(column.ColumnType)) {
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// 如果是文本类型，则默认值不能带括号
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if collx.ArrayAnyMatches([]string{"char", "text", "lob"}, strings.ToLower(column.ColumnType)) {
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column.ColumnDefault = ""
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}
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// 当数据类型是日期时间，默认值是日期时间函数时，默认值不需要引号
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if collx.ArrayAnyMatches([]string{"date", "time"}, strings.ToLower(column.ColumnType)) &&
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collx.ArrayAnyMatches([]string{"DATE", "TIME"}, strings.ToUpper(column.ColumnDefault)) {
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mark = false
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} else {
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mark = true
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}
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}
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// 如果数据类型是日期时间，则写死默认值函数
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if collx.ArrayAnyMatches([]string{"date", "time"}, strings.ToLower(column.ColumnType)) {
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column.ColumnDefault = "CURRENT_TIMESTAMP"
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}
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if column.ColumnDefault != "" {
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if mark {
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defVal = fmt.Sprintf(" DEFAULT '%s'", column.ColumnDefault)
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} else {
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defVal = fmt.Sprintf(" DEFAULT %s", column.ColumnDefault)
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}
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}
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}
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columnSql := fmt.Sprintf(" %s %s %s %s ", colName, column.ColumnType, nullAble, defVal)
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return columnSql
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}
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func (pd *PgsqlDialect) CreateIndex(tableInfo dbi.Table, indexs []dbi.Index) error {
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sqls := make([]string, 0)
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comments := make([]string, 0)
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for _, index := range indexs {
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// 通过字段、表名拼接索引名
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columnName := strings.ReplaceAll(index.ColumnName, "-", "")
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columnName = strings.ReplaceAll(columnName, "_", "")
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colName := strings.ReplaceAll(columnName, ",", "_")
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keyType := "normal"
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unique := ""
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if index.IsUnique {
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keyType = "unique"
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unique = "unique"
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}
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indexName := fmt.Sprintf("%s_key_%s_%s", keyType, tableInfo.TableName, colName)
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// 如果索引名存在，先删除索引
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sqls = append(sqls, fmt.Sprintf("drop index if exists %s.%s", pd.currentSchema(), indexName))
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// 创建索引
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sqls = append(sqls, fmt.Sprintf("CREATE %s INDEX %s on %s.%s(%s)", unique, indexName, pd.currentSchema(), tableInfo.TableName, index.ColumnName))
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if index.IndexComment != "" {
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comments = append(comments, fmt.Sprintf("COMMENT ON INDEX %s.%s IS '%s'", pd.currentSchema(), indexName, index.IndexComment))
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}
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}
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_, err := pd.dc.Exec(strings.Join(sqls, ";"))
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// 添加注释
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if len(comments) > 0 {
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_, err = pd.dc.Exec(strings.Join(comments, ";"))
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}
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return err
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}
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func (pd *PgsqlDialect) UpdateSequence(tableName string, columns []dbi.Column) {
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for _, column := range columns {
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if column.IsIdentity {
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_, _ = pd.dc.Exec(fmt.Sprintf("select setval('%s_%s_seq', (SELECT max(%s) from %s))", tableName, column.ColumnName, column.ColumnName, tableName))
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}
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}
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}
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