mirror of
https://gitee.com/dromara/mayfly-go
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437 lines
14 KiB
Go
437 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/errorx"
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"mayfly-go/pkg/utils/anyx"
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"mayfly-go/pkg/utils/collx"
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"regexp"
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"strings"
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"time"
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)
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const (
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PGSQL_META_FILE = "metasql/pgsql_meta.sql"
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PGSQL_DB_SCHEMAS = "PGSQL_DB_SCHEMAS"
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PGSQL_TABLE_INFO_KEY = "PGSQL_TABLE_INFO"
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PGSQL_INDEX_INFO_KEY = "PGSQL_INDEX_INFO"
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PGSQL_COLUMN_MA_KEY = "PGSQL_COLUMN_MA"
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PGSQL_TABLE_DDL_KEY = "PGSQL_TABLE_DDL_FUNC"
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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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func (pd *PgsqlDialect) GetDbServer() (*dbi.DbServer, error) {
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_, res, err := pd.dc.Query("SELECT version() as server_version")
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if err != nil {
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return nil, err
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}
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ds := &dbi.DbServer{
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Version: anyx.ConvString(res[0]["server_version"]),
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}
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return ds, nil
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}
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func (pd *PgsqlDialect) GetDbNames() ([]string, error) {
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_, res, err := pd.dc.Query("SELECT datname AS dbname FROM pg_database WHERE datistemplate = false AND has_database_privilege(datname, 'CONNECT')")
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if err != nil {
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return nil, err
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}
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databases := make([]string, 0)
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for _, re := range res {
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databases = append(databases, anyx.ConvString(re["dbname"]))
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}
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return databases, nil
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}
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// 获取表基础元信息, 如表名等
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func (pd *PgsqlDialect) GetTables() ([]dbi.Table, error) {
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_, res, err := pd.dc.Query(dbi.GetLocalSql(PGSQL_META_FILE, PGSQL_TABLE_INFO_KEY))
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if err != nil {
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return nil, err
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}
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tables := make([]dbi.Table, 0)
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for _, re := range res {
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tables = append(tables, dbi.Table{
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TableName: re["tableName"].(string),
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TableComment: anyx.ConvString(re["tableComment"]),
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CreateTime: anyx.ConvString(re["createTime"]),
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TableRows: anyx.ConvInt(re["tableRows"]),
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DataLength: anyx.ConvInt64(re["dataLength"]),
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IndexLength: anyx.ConvInt64(re["indexLength"]),
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})
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}
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return tables, nil
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}
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// 获取列元信息, 如列名等
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func (pd *PgsqlDialect) GetColumns(tableNames ...string) ([]dbi.Column, error) {
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dbType := pd.dc.Info.Type
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tableName := strings.Join(collx.ArrayMap[string, string](tableNames, func(val string) string {
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return fmt.Sprintf("'%s'", dbType.RemoveQuote(val))
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}), ",")
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_, res, err := pd.dc.Query(fmt.Sprintf(dbi.GetLocalSql(PGSQL_META_FILE, PGSQL_COLUMN_MA_KEY), tableName))
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if err != nil {
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return nil, err
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}
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columns := make([]dbi.Column, 0)
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for _, re := range res {
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columns = append(columns, dbi.Column{
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TableName: anyx.ConvString(re["tableName"]),
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ColumnName: anyx.ConvString(re["columnName"]),
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ColumnType: anyx.ConvString(re["columnType"]),
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ColumnComment: anyx.ConvString(re["columnComment"]),
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Nullable: anyx.ConvString(re["nullable"]),
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IsPrimaryKey: anyx.ConvInt(re["isPrimaryKey"]) == 1,
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IsIdentity: anyx.ConvInt(re["isIdentity"]) == 1,
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ColumnDefault: anyx.ConvString(re["columnDefault"]),
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NumScale: anyx.ConvString(re["numScale"]),
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})
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}
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return columns, nil
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}
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func (pd *PgsqlDialect) GetPrimaryKey(tablename string) (string, error) {
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columns, err := pd.GetColumns(tablename)
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if err != nil {
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return "", err
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}
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if len(columns) == 0 {
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return "", errorx.NewBiz("[%s] 表不存在", tablename)
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}
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for _, v := range columns {
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if v.IsPrimaryKey {
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return v.ColumnName, nil
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}
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}
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return columns[0].ColumnName, nil
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}
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// 获取表索引信息
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func (pd *PgsqlDialect) GetTableIndex(tableName string) ([]dbi.Index, error) {
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_, res, err := pd.dc.Query(fmt.Sprintf(dbi.GetLocalSql(PGSQL_META_FILE, PGSQL_INDEX_INFO_KEY), tableName))
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if err != nil {
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return nil, err
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}
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indexs := make([]dbi.Index, 0)
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for _, re := range res {
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indexs = append(indexs, dbi.Index{
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IndexName: anyx.ConvString(re["indexName"]),
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ColumnName: anyx.ConvString(re["columnName"]),
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IndexType: anyx.ConvString(re["IndexType"]),
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IndexComment: anyx.ConvString(re["indexComment"]),
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IsUnique: anyx.ConvInt(re["isUnique"]) == 1,
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SeqInIndex: anyx.ConvInt(re["seqInIndex"]),
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})
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}
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// 把查询结果以索引名分组，索引字段以逗号连接
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result := make([]dbi.Index, 0)
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key := ""
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for _, v := range indexs {
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// 当前的索引名
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in := v.IndexName
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if key == in {
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// 索引字段已根据名称和顺序排序，故取最后一个即可
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i := len(result) - 1
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// 同索引字段以逗号连接
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result[i].ColumnName = result[i].ColumnName + "," + v.ColumnName
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} else {
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key = in
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result = append(result, v)
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}
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}
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return result, nil
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}
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// 获取建表ddl
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func (pd *PgsqlDialect) GetTableDDL(tableName string) (string, error) {
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_, err := pd.dc.Exec(dbi.GetLocalSql(PGSQL_META_FILE, PGSQL_TABLE_DDL_KEY))
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if err != nil {
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return "", err
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}
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ddlSql := fmt.Sprintf("select showcreatetable('%s','%s') as sql", pd.currentSchema(), tableName)
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_, res, err := pd.dc.Query(ddlSql)
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if err != nil {
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return "", err
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}
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return res[0]["sql"].(string), nil
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}
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// 获取pgsql当前连接的库可访问的schemaNames
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func (pd *PgsqlDialect) GetSchemas() ([]string, error) {
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sql := dbi.GetLocalSql(PGSQL_META_FILE, PGSQL_DB_SCHEMAS)
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_, res, err := pd.dc.Query(sql)
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if err != nil {
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return nil, err
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}
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schemaNames := make([]string, 0)
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for _, re := range res {
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schemaNames = append(schemaNames, anyx.ConvString(re["schemaName"]))
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}
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return schemaNames, nil
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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.Info.Type.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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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 := pd.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, pd.dc.Info.Type.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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dbName := pd.dc.Info.Database
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schema := ""
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arr := strings.Split(dbName, "/")
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if len(arr) == 2 {
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schema = arr[1]
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}
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return schema
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}
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func (pd *PgsqlDialect) GetDataConverter() dbi.DataConverter {
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return converter
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}
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var (
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// 数字类型
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numberRegexp = regexp.MustCompile(`(?i)int|double|float|number|decimal|byte|bit`)
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// 日期时间类型
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datetimeRegexp = regexp.MustCompile(`(?i)datetime|timestamp`)
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// 日期类型
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dateRegexp = regexp.MustCompile(`(?i)date`)
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// 时间类型
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timeRegexp = regexp.MustCompile(`(?i)time`)
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converter = new(DataConverter)
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)
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type DataConverter struct {
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}
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func (dc *DataConverter) GetDataType(dbColumnType string) dbi.DataType {
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if numberRegexp.MatchString(dbColumnType) {
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return dbi.DataTypeNumber
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}
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// 日期时间类型
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if datetimeRegexp.MatchString(dbColumnType) {
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return dbi.DataTypeDateTime
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}
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// 日期类型
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if dateRegexp.MatchString(dbColumnType) {
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return dbi.DataTypeDate
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}
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// 时间类型
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if timeRegexp.MatchString(dbColumnType) {
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return dbi.DataTypeTime
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}
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return dbi.DataTypeString
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}
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func (dc *DataConverter) FormatData(dbColumnValue any, dataType dbi.DataType) string {
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str := fmt.Sprintf("%v", dbColumnValue)
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switch dataType {
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case dbi.DataTypeDateTime: // "2024-01-02T22:16:28.545377+08:00"
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res, _ := time.Parse(time.RFC3339, str)
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return res.Format(time.DateTime)
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case dbi.DataTypeDate: // "2024-01-02T00:00:00Z"
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res, _ := time.Parse(time.RFC3339, str)
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return res.Format(time.DateOnly)
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case dbi.DataTypeTime: // "0000-01-01T22:16:28.545075+08:00"
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res, _ := time.Parse(time.RFC3339, str)
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return res.Format(time.TimeOnly)
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}
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return anyx.ConvString(dbColumnValue)
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}
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func (dc *DataConverter) ParseData(dbColumnValue any, dataType dbi.DataType) any {
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// 如果dataType是datetime而dbColumnValue是string类型，则需要转换为time.Time类型
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_, ok := dbColumnValue.(string)
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if dataType == dbi.DataTypeDateTime && ok {
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res, _ := time.Parse(time.RFC3339, anyx.ToString(dbColumnValue))
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return res
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}
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if dataType == dbi.DataTypeDate && ok {
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res, _ := time.Parse(time.DateOnly, anyx.ToString(dbColumnValue))
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return res
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}
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if dataType == dbi.DataTypeTime && ok {
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res, _ := time.Parse(time.TimeOnly, anyx.ToString(dbColumnValue))
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return res
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}
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return dbColumnValue
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}
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func (pd *PgsqlDialect) IsGauss() bool {
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return strings.Contains(pd.dc.Info.Params, "gauss")
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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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