sources/csv/toddl.go (42 lines of code) (raw):

// Copyright 2020 Google LLC // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. package csv import ( "fmt" "regexp" "strings" "github.com/GoogleCloudPlatform/spanner-migration-tool/spanner/ddl" ) func ToSpannerType(columnType string) (ddl.Type, error) { ty := strings.ToUpper(columnType) switch { case ty == "BOOL": return ddl.Type{Name: ddl.Bool}, nil // We accept variations including BYTES, BYTES(), BYTES(0) since the length doesn't matter. case strings.HasPrefix(ty, "BYTES"): match, _ := regexp.MatchString(`^BYTES\([0-9]*\)$`, ty) if match || ty == "BYTES" { return ddl.Type{Name: ddl.Bytes, Len: ddl.MaxLength}, nil } return ddl.Type{}, fmt.Errorf("%v is not a valid Spanner column type", columnType) case ty == "DATE": return ddl.Type{Name: ddl.Date}, nil case ty == "FLOAT32": return ddl.Type{Name: ddl.Float32}, nil case ty == "FLOAT64": return ddl.Type{Name: ddl.Float64}, nil case ty == "INT64": return ddl.Type{Name: ddl.Int64}, nil case ty == "NUMERIC": return ddl.Type{Name: ddl.Numeric}, nil // We accept variations including STRING, STRING(), STRING(0) since the length doesn't matter. case strings.HasPrefix(ty, "STRING"): match, _ := regexp.MatchString(`^STRING\([0-9]*\)$`, ty) if match || ty == "STRING" { return ddl.Type{Name: ddl.String, Len: ddl.MaxLength}, nil } return ddl.Type{}, fmt.Errorf("%v is not a valid Spanner column type", columnType) case ty == "TIMESTAMP": return ddl.Type{Name: ddl.Timestamp}, nil case ty == "JSON": return ddl.Type{Name: ddl.JSON}, nil default: return ddl.Type{}, fmt.Errorf("%v is not a valid Spanner column type", columnType) } }