mirror of
https://gitee.com/dromara/mayfly-go
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225 lines
7.7 KiB
Go
225 lines
7.7 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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"github.com/may-fly/cast"
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)
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type PgsqlDialect struct {
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dbi.DefaultDialect
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dc *dbi.DbConn
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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.dc.Info.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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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 := cast.ToString(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 := cast.ToInt(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) ToCommonColumn(column *dbi.Column) {
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// 翻译为通用数据库类型
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dataType := column.DataType
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t1 := commonColumnTypeMap[string(dataType)]
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if t1 == "" {
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column.DataType = dbi.CommonTypeVarchar
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column.CharMaxLength = 2000
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} else {
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column.DataType = t1
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}
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}
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func (pd *PgsqlDialect) ToColumn(commonColumn *dbi.Column) {
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ctype := pgsqlColumnTypeMap[commonColumn.DataType]
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if ctype == "" {
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commonColumn.DataType = "varchar"
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commonColumn.CharMaxLength = 2000
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} else {
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commonColumn.DataType = dbi.ColumnDataType(ctype)
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}
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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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sqlArr := meta.GenerateTableDDL(commonColumns, tableInfo, dropOldTable)
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_, err := pd.dc.Exec(strings.Join(sqlArr, ";"))
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return len(sqlArr), err
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}
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func (pd *PgsqlDialect) CreateIndex(tableInfo dbi.Table, indexs []dbi.Index) error {
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sqlArr := pd.dc.GetMetaData().GenerateIndexDDL(indexs, tableInfo)
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_, err := pd.dc.Exec(strings.Join(sqlArr, ";"))
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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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