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https://gitee.com/dromara/mayfly-go
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529 lines
16 KiB
Go
529 lines
16 KiB
Go
package postgres
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import (
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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/logx"
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"mayfly-go/pkg/utils/anyx"
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"mayfly-go/pkg/utils/collx"
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"mayfly-go/pkg/utils/stringx"
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"regexp"
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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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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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)
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type PgsqlMetaData struct {
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dbi.DefaultMetaData
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dc *dbi.DbConn
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}
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func (pd *PgsqlMetaData) 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: cast.ToString(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 *PgsqlMetaData) 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, cast.ToString(re["dbname"]))
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}
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return databases, nil
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}
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func (pd *PgsqlMetaData) GetTables(tableNames ...string) ([]dbi.Table, error) {
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meta := pd.dc.GetMetaData()
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names := strings.Join(collx.ArrayMap[string, string](tableNames, func(val string) string {
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return fmt.Sprintf("'%s'", meta.RemoveQuote(val))
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}), ",")
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var res []map[string]any
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var err error
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sql, err := stringx.TemplateParse(dbi.GetLocalSql(PGSQL_META_FILE, PGSQL_TABLE_INFO_KEY), collx.M{"tableNames": names})
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if err != nil {
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return nil, err
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}
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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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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: cast.ToString(re["tableComment"]),
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CreateTime: cast.ToString(re["createTime"]),
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TableRows: cast.ToInt(re["tableRows"]),
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DataLength: cast.ToInt64(re["dataLength"]),
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IndexLength: cast.ToInt64(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 *PgsqlMetaData) GetColumns(tableNames ...string) ([]dbi.Column, error) {
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meta := pd.dc.GetMetaData()
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tableName := strings.Join(collx.ArrayMap[string, string](tableNames, func(val string) string {
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return fmt.Sprintf("'%s'", meta.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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column := dbi.Column{
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TableName: cast.ToString(re["tableName"]),
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ColumnName: cast.ToString(re["columnName"]),
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DataType: dbi.ColumnDataType(cast.ToString(re["dataType"])),
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CharMaxLength: cast.ToInt(re["charMaxLength"]),
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ColumnComment: cast.ToString(re["columnComment"]),
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Nullable: cast.ToString(re["nullable"]),
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IsPrimaryKey: cast.ToInt(re["isPrimaryKey"]) == 1,
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IsIdentity: cast.ToInt(re["isIdentity"]) == 1,
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ColumnDefault: cast.ToString(re["columnDefault"]),
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NumPrecision: cast.ToInt(re["numPrecision"]),
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NumScale: cast.ToInt(re["numScale"]),
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}
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columns = append(columns, column)
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}
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return columns, nil
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}
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func (pd *PgsqlMetaData) 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 *PgsqlMetaData) 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: cast.ToString(re["indexName"]),
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ColumnName: cast.ToString(re["columnName"]),
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IndexType: cast.ToString(re["IndexType"]),
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IndexComment: cast.ToString(re["indexComment"]),
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IsUnique: cast.ToInt(re["isUnique"]) == 1,
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SeqInIndex: cast.ToInt(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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func (pd *PgsqlMetaData) GenerateIndexDDL(indexs []dbi.Index, tableInfo dbi.Table) []string {
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creates := make([]string, 0)
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drops := 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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drops = append(drops, fmt.Sprintf("drop index if exists %s.%s", pd.dc.Info.CurrentSchema(), indexName))
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// 创建索引
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creates = append(creates, fmt.Sprintf("CREATE %s INDEX %s on %s.%s(%s)", unique, indexName, pd.dc.Info.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.dc.Info.CurrentSchema(), indexName, index.IndexComment))
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}
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}
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sqlArr := make([]string, 0)
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if len(drops) > 0 {
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sqlArr = append(sqlArr, drops...)
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}
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if len(creates) > 0 {
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sqlArr = append(sqlArr, creates...)
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}
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if len(comments) > 0 {
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sqlArr = append(sqlArr, comments...)
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}
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return sqlArr
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}
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func (pd *PgsqlMetaData) 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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dataType := string(column.DataType)
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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 dataType == "int4" {
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column.DataType = "serial"
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} else if dataType == "int2" {
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column.DataType = "smallserial"
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} else if dataType == "int8" {
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column.DataType = "bigserial"
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} else {
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column.DataType = "bigserial"
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}
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return fmt.Sprintf(" %s %s NOT NULL", colName, column.GetColumnType())
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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(dataType)) {
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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(dataType)) {
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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"}, dataType) {
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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"}, dataType) {
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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(dataType)) &&
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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(dataType)) {
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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.GetColumnType(), nullAble, defVal)
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return columnSql
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}
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func (pd *PgsqlMetaData) GenerateTableDDL(columns []dbi.Column, tableInfo dbi.Table, dropBeforeCreate bool) []string {
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meta := pd.dc.GetMetaData()
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replacer := strings.NewReplacer(";", "", "'", "")
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sqlArr := make([]string, 0)
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if dropBeforeCreate {
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sqlArr = append(sqlArr, fmt.Sprintf("DROP TABLE IF EXISTS %s", meta.QuoteIdentifier(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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commentTmp := "comment on column %s.%s is '%s'"
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for _, column := range columns {
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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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// 防止注释内含有特殊字符串导致sql出错
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if column.ColumnComment != "" {
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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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}
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createSql += strings.Join(fields, ",\n")
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if len(pks) > 0 {
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createSql += fmt.Sprintf(", \nPRIMARY 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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// create
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sqlArr = append(sqlArr, createSql)
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// table comment
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if tableCommentSql != "" {
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sqlArr = append(sqlArr, tableCommentSql)
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}
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// column comment
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if len(columnComments) > 0 {
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sqlArr = append(sqlArr, columnComments...)
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}
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return sqlArr
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}
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// 获取建表ddl
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func (pd *PgsqlMetaData) GetTableDDL(tableName string) (string, error) {
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// 1.获取表信息
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tbs, err := pd.GetTables(tableName)
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tableInfo := &dbi.Table{}
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if err != nil && len(tbs) > 0 {
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logx.Errorf("获取表信息失败, %s", tableName)
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return "", err
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}
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tableInfo.TableName = tbs[0].TableName
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tableInfo.TableComment = tbs[0].TableComment
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// 2.获取列信息
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columns, err := pd.GetColumns(tableName)
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if err != nil {
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logx.Errorf("获取列信息失败, %s", tableName)
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return "", err
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}
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tableDDLArr := pd.GenerateTableDDL(columns, *tableInfo, false)
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// 3.获取索引信息
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indexs, err := pd.GetTableIndex(tableName)
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if err != nil {
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logx.Errorf("获取索引信息失败, %s", tableName)
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return "", err
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}
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// 组装返回
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tableDDLArr = append(tableDDLArr, pd.GenerateIndexDDL(indexs, *tableInfo)...)
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return strings.Join(tableDDLArr, ";\n"), 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 *PgsqlMetaData) 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, cast.ToString(re["schemaName"]))
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}
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return schemaNames, nil
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}
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func (pd *PgsqlMetaData) DefaultDb() string {
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switch pd.dc.Info.Type {
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case dbi.DbTypePostgres, dbi.DbTypeGauss:
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return "postgres"
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case dbi.DbTypeKingbaseEs:
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return "security"
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case dbi.DbTypeVastbase:
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return "vastbase"
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default:
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return ""
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}
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}
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func (pd *PgsqlMetaData) 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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// 定义正则表达式，匹配括号内的数字
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bracketsRegexp = regexp.MustCompile(`\((\d+)\)`)
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converter = new(DataConverter)
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// pgsql数据类型 映射 公共数据类型
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commonColumnTypeMap = map[string]dbi.ColumnDataType{
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"int2": dbi.CommonTypeSmallint,
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"int4": dbi.CommonTypeInt,
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"int8": dbi.CommonTypeBigint,
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"numeric": dbi.CommonTypeNumber,
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"decimal": dbi.CommonTypeNumber,
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"smallserial": dbi.CommonTypeSmallint,
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"serial": dbi.CommonTypeInt,
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"bigserial": dbi.CommonTypeBigint,
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"largeserial": dbi.CommonTypeBigint,
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"money": dbi.CommonTypeNumber,
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"bool": dbi.CommonTypeTinyint,
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"char": dbi.CommonTypeChar,
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"character": dbi.CommonTypeChar,
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"nchar": dbi.CommonTypeChar,
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"varchar": dbi.CommonTypeVarchar,
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"text": dbi.CommonTypeText,
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"bytea": dbi.CommonTypeText,
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"date": dbi.CommonTypeDate,
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"time": dbi.CommonTypeTime,
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"timestamp": dbi.CommonTypeTimestamp,
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}
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// 公共数据类型 映射 pgsql数据类型
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pgsqlColumnTypeMap = map[dbi.ColumnDataType]string{
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dbi.CommonTypeVarchar: "varchar",
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dbi.CommonTypeChar: "char",
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dbi.CommonTypeText: "text",
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dbi.CommonTypeBlob: "text",
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dbi.CommonTypeLongblob: "text",
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dbi.CommonTypeLongtext: "text",
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dbi.CommonTypeBinary: "text",
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dbi.CommonTypeMediumblob: "text",
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dbi.CommonTypeMediumtext: "text",
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dbi.CommonTypeVarbinary: "text",
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dbi.CommonTypeInt: "int4",
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dbi.CommonTypeSmallint: "int2",
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dbi.CommonTypeTinyint: "int2",
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dbi.CommonTypeNumber: "numeric",
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dbi.CommonTypeBigint: "int8",
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dbi.CommonTypeDatetime: "timestamp",
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dbi.CommonTypeDate: "date",
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dbi.CommonTypeTime: "time",
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dbi.CommonTypeTimestamp: "timestamp",
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dbi.CommonTypeEnum: "varchar(2000)",
|
||
dbi.CommonTypeJSON: "varchar(2000)",
|
||
}
|
||
)
|
||
|
||
type DataConverter struct {
|
||
}
|
||
|
||
func (dc *DataConverter) GetDataType(dbColumnType string) dbi.DataType {
|
||
if numberRegexp.MatchString(dbColumnType) {
|
||
return dbi.DataTypeNumber
|
||
}
|
||
// 日期时间类型
|
||
if datetimeRegexp.MatchString(dbColumnType) {
|
||
return dbi.DataTypeDateTime
|
||
}
|
||
// 日期类型
|
||
if dateRegexp.MatchString(dbColumnType) {
|
||
return dbi.DataTypeDate
|
||
}
|
||
// 时间类型
|
||
if timeRegexp.MatchString(dbColumnType) {
|
||
return dbi.DataTypeTime
|
||
}
|
||
return dbi.DataTypeString
|
||
}
|
||
|
||
func (dc *DataConverter) FormatData(dbColumnValue any, dataType dbi.DataType) string {
|
||
str := fmt.Sprintf("%v", dbColumnValue)
|
||
switch dataType {
|
||
case dbi.DataTypeDateTime: // "2024-01-02T22:16:28.545377+08:00"
|
||
res, _ := time.Parse(time.RFC3339, str)
|
||
return res.Format(time.DateTime)
|
||
case dbi.DataTypeDate: // "2024-01-02T00:00:00Z"
|
||
res, _ := time.Parse(time.RFC3339, str)
|
||
return res.Format(time.DateOnly)
|
||
case dbi.DataTypeTime: // "0000-01-01T22:16:28.545075+08:00"
|
||
res, _ := time.Parse(time.RFC3339, str)
|
||
return res.Format(time.TimeOnly)
|
||
}
|
||
return cast.ToString(dbColumnValue)
|
||
}
|
||
|
||
func (dc *DataConverter) ParseData(dbColumnValue any, dataType dbi.DataType) any {
|
||
// 如果dataType是datetime而dbColumnValue是string类型，则需要转换为time.Time类型
|
||
_, ok := dbColumnValue.(string)
|
||
if dataType == dbi.DataTypeDateTime && ok {
|
||
res, _ := time.Parse(time.RFC3339, anyx.ToString(dbColumnValue))
|
||
return res
|
||
}
|
||
if dataType == dbi.DataTypeDate && ok {
|
||
res, _ := time.Parse(time.DateOnly, anyx.ToString(dbColumnValue))
|
||
return res
|
||
}
|
||
if dataType == dbi.DataTypeTime && ok {
|
||
res, _ := time.Parse(time.TimeOnly, anyx.ToString(dbColumnValue))
|
||
return res
|
||
}
|
||
return dbColumnValue
|
||
}
|