!109 refactor:ddl生成方式重构,数据类型和长度重构,所有数据库迁移调试

* feat:同步sqlite全量sql
* refactor:ddl生成方式重构,数据类型和长度重构,所有数据库迁移调试
This commit is contained in:
zongyangleo
2024-03-21 03:35:18 +00:00
committed by Coder慌
parent 68e0088016
commit b13d27ccd6
27 changed files with 1309 additions and 1405 deletions

View File

@@ -4,6 +4,7 @@ import (
"fmt"
"mayfly-go/internal/db/dbm/dbi"
"mayfly-go/pkg/errorx"
"mayfly-go/pkg/logx"
"mayfly-go/pkg/utils/anyx"
"mayfly-go/pkg/utils/collx"
"mayfly-go/pkg/utils/stringx"
@@ -18,7 +19,6 @@ const (
PGSQL_TABLE_INFO_KEY = "PGSQL_TABLE_INFO"
PGSQL_INDEX_INFO_KEY = "PGSQL_INDEX_INFO"
PGSQL_COLUMN_MA_KEY = "PGSQL_COLUMN_MA"
PGSQL_TABLE_DDL_KEY = "PGSQL_TABLE_DDL_FUNC"
)
type PgsqlMetaData struct {
@@ -99,17 +99,23 @@ func (pd *PgsqlMetaData) GetColumns(tableNames ...string) ([]dbi.Column, error)
columns := make([]dbi.Column, 0)
for _, re := range res {
columns = append(columns, dbi.Column{
column := dbi.Column{
TableName: anyx.ConvString(re["tableName"]),
ColumnName: anyx.ConvString(re["columnName"]),
ColumnType: anyx.ConvString(re["columnType"]),
DataType: dbi.ColumnDataType(anyx.ConvString(re["dataType"])),
CharMaxLength: anyx.ConvInt(re["charMaxLength"]),
ColumnComment: anyx.ConvString(re["columnComment"]),
Nullable: anyx.ConvString(re["nullable"]),
IsPrimaryKey: anyx.ConvInt(re["isPrimaryKey"]) == 1,
IsIdentity: anyx.ConvInt(re["isIdentity"]) == 1,
ColumnDefault: anyx.ConvString(re["columnDefault"]),
NumPrecision: anyx.ConvInt(re["numPrecision"]),
NumScale: anyx.ConvInt(re["numScale"]),
})
}
// 初始化列展示的长度,精度
column.InitShowNum()
columns = append(columns, column)
}
return columns, nil
}
@@ -168,20 +174,207 @@ func (pd *PgsqlMetaData) GetTableIndex(tableName string) ([]dbi.Index, error) {
return result, nil
}
func (pd *PgsqlMetaData) GenerateIndexDDL(indexs []dbi.Index, tableInfo dbi.Table) []string {
creates := make([]string, 0)
drops := make([]string, 0)
comments := make([]string, 0)
for _, index := range indexs {
// 通过字段、表名拼接索引名
columnName := strings.ReplaceAll(index.ColumnName, "-", "")
columnName = strings.ReplaceAll(columnName, "_", "")
colName := strings.ReplaceAll(columnName, ",", "_")
keyType := "normal"
unique := ""
if index.IsUnique {
keyType = "unique"
unique = "unique"
}
indexName := fmt.Sprintf("%s_key_%s_%s", keyType, tableInfo.TableName, colName)
// 如果索引名存在,先删除索引
drops = append(drops, fmt.Sprintf("drop index if exists %s.%s", pd.dc.Info.CurrentSchema(), indexName))
// 创建索引
creates = append(creates, fmt.Sprintf("CREATE %s INDEX %s on %s.%s(%s)", unique, indexName, pd.dc.Info.CurrentSchema(), tableInfo.TableName, index.ColumnName))
if index.IndexComment != "" {
comments = append(comments, fmt.Sprintf("COMMENT ON INDEX %s.%s IS '%s'", pd.dc.Info.CurrentSchema(), indexName, index.IndexComment))
}
}
sqlArr := make([]string, 0)
if len(drops) > 0 {
sqlArr = append(sqlArr, drops...)
}
if len(creates) > 0 {
sqlArr = append(sqlArr, creates...)
}
if len(comments) > 0 {
sqlArr = append(sqlArr, comments...)
}
return sqlArr
}
func (pd *PgsqlMetaData) genColumnBasicSql(column dbi.Column) string {
meta := pd.dc.GetMetaData()
colName := meta.QuoteIdentifier(column.ColumnName)
dataType := string(column.DataType)
// 如果是自增类型需要转换为serial
if column.IsIdentity {
if dataType == "int4" {
column.DataType = "serial"
} else if dataType == "int2" {
column.DataType = "smallserial"
} else if dataType == "int8" {
column.DataType = "bigserial"
} else {
column.DataType = "bigserial"
}
return fmt.Sprintf(" %s %s NOT NULL", colName, column.ShowDataType)
}
nullAble := ""
if column.Nullable == "NO" {
nullAble = " NOT NULL"
// 如果字段不能为空,则设置默认值
if column.ColumnDefault == "" {
if collx.ArrayAnyMatches([]string{"char", "text", "lob"}, strings.ToLower(dataType)) {
// 文本默认值为空字符串
column.ColumnDefault = " "
} else if collx.ArrayAnyMatches([]string{"int", "num"}, strings.ToLower(dataType)) {
// 数字默认值为0
column.ColumnDefault = "0"
}
}
}
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
if column.ColumnDefault != "" && !strings.Contains(column.ColumnDefault, "(") {
// 哪些字段类型默认值需要加引号
mark := false
if collx.ArrayAnyMatches([]string{"char", "text", "date", "time", "lob"}, dataType) {
// 如果是文本类型,则默认值不能带括号
if collx.ArrayAnyMatches([]string{"char", "text", "lob"}, dataType) {
column.ColumnDefault = ""
}
// 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
if collx.ArrayAnyMatches([]string{"date", "time"}, strings.ToLower(dataType)) &&
collx.ArrayAnyMatches([]string{"DATE", "TIME"}, strings.ToUpper(column.ColumnDefault)) {
mark = false
} else {
mark = true
}
}
// 如果数据类型是日期时间,则写死默认值函数
if collx.ArrayAnyMatches([]string{"date", "time"}, strings.ToLower(dataType)) {
column.ColumnDefault = "CURRENT_TIMESTAMP"
}
if column.ColumnDefault != "" {
if mark {
defVal = fmt.Sprintf(" DEFAULT '%s'", column.ColumnDefault)
} else {
defVal = fmt.Sprintf(" DEFAULT %s", column.ColumnDefault)
}
}
}
columnSql := fmt.Sprintf(" %s %s %s %s ", colName, column.ShowDataType, nullAble, defVal)
return columnSql
}
func (pd *PgsqlMetaData) GenerateTableDDL(columns []dbi.Column, tableInfo dbi.Table, dropBeforeCreate bool) []string {
meta := pd.dc.GetMetaData()
replacer := strings.NewReplacer(";", "", "'", "")
sqlArr := make([]string, 0)
if dropBeforeCreate {
sqlArr = append(sqlArr, fmt.Sprintf("DROP TABLE IF EXISTS %s", meta.QuoteIdentifier(tableInfo.TableName)))
}
// 组装建表语句
createSql := fmt.Sprintf("CREATE TABLE %s (\n", meta.QuoteIdentifier(tableInfo.TableName))
fields := make([]string, 0)
pks := make([]string, 0)
columnComments := make([]string, 0)
commentTmp := "comment on column %s.%s is '%s'"
for _, column := range columns {
if column.IsPrimaryKey {
pks = append(pks, meta.QuoteIdentifier(column.ColumnName))
}
fields = append(fields, pd.genColumnBasicSql(column))
// 防止注释内含有特殊字符串导致sql出错
if column.ColumnComment != "" {
comment := replacer.Replace(column.ColumnComment)
columnComments = append(columnComments, fmt.Sprintf(commentTmp, column.TableName, column.ColumnName, comment))
}
}
createSql += strings.Join(fields, ",\n")
if len(pks) > 0 {
createSql += fmt.Sprintf(", \nPRIMARY KEY (%s)", strings.Join(pks, ","))
}
createSql += ")"
tableCommentSql := ""
if tableInfo.TableComment != "" {
commentTmp := "comment on table %s is '%s'"
tableCommentSql = fmt.Sprintf(commentTmp, tableInfo.TableName, replacer.Replace(tableInfo.TableComment))
}
// create
sqlArr = append(sqlArr, createSql)
// table comment
if tableCommentSql != "" {
sqlArr = append(sqlArr, tableCommentSql)
}
// column comment
if len(columnComments) > 0 {
sqlArr = append(sqlArr, columnComments...)
}
return sqlArr
}
// 获取建表ddl
func (pd *PgsqlMetaData) GetTableDDL(tableName string) (string, error) {
_, err := pd.dc.Exec(dbi.GetLocalSql(PGSQL_META_FILE, PGSQL_TABLE_DDL_KEY))
if err != nil {
// 1.获取表信息
tbs, err := pd.GetTables(tableName)
tableInfo := &dbi.Table{}
if err != nil && len(tbs) > 0 {
logx.Errorf("获取表信息失败, %s", tableName)
return "", err
}
tableInfo.TableName = tbs[0].TableName
tableInfo.TableComment = tbs[0].TableComment
ddlSql := fmt.Sprintf("select showcreatetable('%s','%s') as sql", pd.dc.Info.CurrentSchema(), tableName)
_, res, err := pd.dc.Query(ddlSql)
// 2.获取列信息
columns, err := pd.GetColumns(tableName)
if err != nil {
logx.Errorf("获取列信息失败, %s", tableName)
return "", err
}
return res[0]["sql"].(string), nil
tableDDLArr := pd.GenerateTableDDL(columns, *tableInfo, false)
// 3.获取索引信息
indexs, err := pd.GetTableIndex(tableName)
if err != nil {
logx.Errorf("获取索引信息失败, %s", tableName)
return "", err
}
// 组装返回
tableDDLArr = append(tableDDLArr, pd.GenerateIndexDDL(indexs, *tableInfo)...)
return strings.Join(tableDDLArr, ";\n"), nil
}
// 获取pgsql当前连接的库可访问的schemaNames
@@ -247,7 +440,7 @@ var (
"nchar": dbi.CommonTypeChar,
"varchar": dbi.CommonTypeVarchar,
"text": dbi.CommonTypeText,
"bytea": dbi.CommonTypeBinary,
"bytea": dbi.CommonTypeText,
"date": dbi.CommonTypeDate,
"time": dbi.CommonTypeTime,
"timestamp": dbi.CommonTypeTimestamp,
@@ -260,10 +453,10 @@ var (
dbi.CommonTypeBlob: "text",
dbi.CommonTypeLongblob: "text",
dbi.CommonTypeLongtext: "text",
dbi.CommonTypeBinary: "bytea",
dbi.CommonTypeBinary: "text",
dbi.CommonTypeMediumblob: "text",
dbi.CommonTypeMediumtext: "text",
dbi.CommonTypeVarbinary: "bytea",
dbi.CommonTypeVarbinary: "text",
dbi.CommonTypeInt: "int4",
dbi.CommonTypeSmallint: "int2",
dbi.CommonTypeTinyint: "int2",