forked from googleapis/google-cloud-go
/
value.go
998 lines (917 loc) · 27.2 KB
/
value.go
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// Copyright 2015 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 bigquery
import (
"encoding/base64"
"errors"
"fmt"
"math"
"math/big"
"reflect"
"strconv"
"strings"
"time"
"cloud.google.com/go/civil"
bq "google.golang.org/api/bigquery/v2"
)
// Value stores the contents of a single cell from a BigQuery result.
type Value interface{}
// ValueLoader stores a slice of Values representing a result row from a Read operation.
// See RowIterator.Next for more information.
type ValueLoader interface {
Load(v []Value, s Schema) error
}
// valueList converts a []Value to implement ValueLoader.
type valueList []Value
// Load stores a sequence of values in a valueList.
// It resets the slice length to zero, then appends each value to it.
func (vs *valueList) Load(v []Value, _ Schema) error {
*vs = append((*vs)[:0], v...)
return nil
}
// valueMap converts a map[string]Value to implement ValueLoader.
type valueMap map[string]Value
// Load stores a sequence of values in a valueMap.
func (vm *valueMap) Load(v []Value, s Schema) error {
if *vm == nil {
*vm = map[string]Value{}
}
loadMap(*vm, v, s)
return nil
}
func loadMap(m map[string]Value, vals []Value, s Schema) {
for i, f := range s {
val := vals[i]
var v interface{}
switch {
case val == nil:
v = val
case f.Schema == nil:
v = val
case !f.Repeated:
m2 := map[string]Value{}
loadMap(m2, val.([]Value), f.Schema)
v = m2
default: // repeated and nested
sval := val.([]Value)
vs := make([]Value, len(sval))
for j, e := range sval {
m2 := map[string]Value{}
loadMap(m2, e.([]Value), f.Schema)
vs[j] = m2
}
v = vs
}
m[f.Name] = v
}
}
type structLoader struct {
typ reflect.Type // type of struct
err error
ops []structLoaderOp
vstructp reflect.Value // pointer to current struct value; changed by set
}
// A setFunc is a function that sets a struct field or slice/array
// element to a value.
type setFunc func(v reflect.Value, val interface{}) error
// A structLoaderOp instructs the loader to set a struct field to a row value.
type structLoaderOp struct {
fieldIndex []int
valueIndex int
setFunc setFunc
repeated bool
}
var errNoNulls = errors.New("bigquery: NULL values cannot be read into structs")
func setAny(v reflect.Value, x interface{}) error {
if x == nil {
return errNoNulls
}
v.Set(reflect.ValueOf(x))
return nil
}
func setInt(v reflect.Value, x interface{}) error {
if x == nil {
return errNoNulls
}
xx := x.(int64)
if v.OverflowInt(xx) {
return fmt.Errorf("bigquery: value %v overflows struct field of type %v", xx, v.Type())
}
v.SetInt(xx)
return nil
}
func setUint(v reflect.Value, x interface{}) error {
if x == nil {
return errNoNulls
}
xx := x.(int64)
if xx < 0 || v.OverflowUint(uint64(xx)) {
return fmt.Errorf("bigquery: value %v overflows struct field of type %v", xx, v.Type())
}
v.SetUint(uint64(xx))
return nil
}
func setFloat(v reflect.Value, x interface{}) error {
if x == nil {
return errNoNulls
}
xx := x.(float64)
if v.OverflowFloat(xx) {
return fmt.Errorf("bigquery: value %v overflows struct field of type %v", xx, v.Type())
}
v.SetFloat(xx)
return nil
}
func setBool(v reflect.Value, x interface{}) error {
if x == nil {
return errNoNulls
}
v.SetBool(x.(bool))
return nil
}
func setString(v reflect.Value, x interface{}) error {
if x == nil {
return errNoNulls
}
v.SetString(x.(string))
return nil
}
func setGeography(v reflect.Value, x interface{}) error {
if x == nil {
return errNoNulls
}
v.SetString(x.(string))
return nil
}
func setJSON(v reflect.Value, x interface{}) error {
if x == nil {
return errNoNulls
}
v.SetString(x.(string))
return nil
}
func setBytes(v reflect.Value, x interface{}) error {
if x == nil {
v.SetBytes(nil)
} else {
v.SetBytes(x.([]byte))
}
return nil
}
func setNull(v reflect.Value, x interface{}, build func() interface{}) error {
if x == nil {
v.Set(reflect.Zero(v.Type()))
} else {
n := build()
v.Set(reflect.ValueOf(n))
}
return nil
}
// set remembers a value for the next call to Load. The value must be
// a pointer to a struct. (This is checked in RowIterator.Next.)
func (sl *structLoader) set(structp interface{}, schema Schema) error {
if sl.err != nil {
return sl.err
}
sl.vstructp = reflect.ValueOf(structp)
typ := sl.vstructp.Type().Elem()
if sl.typ == nil {
// First call: remember the type and compile the schema.
sl.typ = typ
ops, err := compileToOps(typ, schema)
if err != nil {
sl.err = err
return err
}
sl.ops = ops
} else if sl.typ != typ {
return fmt.Errorf("bigquery: struct type changed from %s to %s", sl.typ, typ)
}
return nil
}
// compileToOps produces a sequence of operations that will set the fields of a
// value of structType to the contents of a row with schema.
func compileToOps(structType reflect.Type, schema Schema) ([]structLoaderOp, error) {
var ops []structLoaderOp
fields, err := fieldCache.Fields(structType)
if err != nil {
return nil, err
}
for i, schemaField := range schema {
// Look for an exported struct field with the same name as the schema
// field, ignoring case (BigQuery column names are case-insensitive,
// and we want to act like encoding/json anyway).
structField := fields.Match(schemaField.Name)
if structField == nil {
// Ignore schema fields with no corresponding struct field.
continue
}
op := structLoaderOp{
fieldIndex: structField.Index,
valueIndex: i,
}
t := structField.Type
if schemaField.Repeated {
if t.Kind() != reflect.Slice && t.Kind() != reflect.Array {
return nil, fmt.Errorf("bigquery: repeated schema field %s requires slice or array, but struct field %s has type %s",
schemaField.Name, structField.Name, t)
}
t = t.Elem()
op.repeated = true
}
if schemaField.Type == RecordFieldType {
// Field can be a struct or a pointer to a struct.
if t.Kind() == reflect.Ptr {
t = t.Elem()
}
if t.Kind() != reflect.Struct {
return nil, fmt.Errorf("bigquery: field %s has type %s, expected struct or *struct",
structField.Name, structField.Type)
}
nested, err := compileToOps(t, schemaField.Schema)
if err != nil {
return nil, err
}
op.setFunc = func(v reflect.Value, val interface{}) error {
return setNested(nested, v, val)
}
} else {
op.setFunc = determineSetFunc(t, schemaField.Type)
if op.setFunc == nil {
return nil, fmt.Errorf("bigquery: schema field %s of type %s is not assignable to struct field %s of type %s",
schemaField.Name, schemaField.Type, structField.Name, t)
}
}
ops = append(ops, op)
}
return ops, nil
}
// determineSetFunc chooses the best function for setting a field of type ftype
// to a value whose schema field type is stype. It returns nil if stype
// is not assignable to ftype.
// determineSetFunc considers only basic types. See compileToOps for
// handling of repetition and nesting.
func determineSetFunc(ftype reflect.Type, stype FieldType) setFunc {
switch stype {
case StringFieldType:
if ftype.Kind() == reflect.String {
return setString
}
if ftype == typeOfNullString {
return func(v reflect.Value, x interface{}) error {
return setNull(v, x, func() interface{} {
return NullString{StringVal: x.(string), Valid: true}
})
}
}
case GeographyFieldType:
if ftype.Kind() == reflect.String {
return setGeography
}
if ftype == typeOfNullGeography {
return func(v reflect.Value, x interface{}) error {
return setNull(v, x, func() interface{} {
return NullGeography{GeographyVal: x.(string), Valid: true}
})
}
}
case JSONFieldType:
if ftype.Kind() == reflect.String {
return setJSON
}
if ftype == typeOfNullJSON {
return func(v reflect.Value, x interface{}) error {
return setNull(v, x, func() interface{} {
return NullJSON{JSONVal: x.(string), Valid: true}
})
}
}
case BytesFieldType:
if ftype == typeOfByteSlice {
return setBytes
}
case IntegerFieldType:
if isSupportedUintType(ftype) {
return setUint
} else if isSupportedIntType(ftype) {
return setInt
}
if ftype == typeOfNullInt64 {
return func(v reflect.Value, x interface{}) error {
return setNull(v, x, func() interface{} {
return NullInt64{Int64: x.(int64), Valid: true}
})
}
}
case FloatFieldType:
switch ftype.Kind() {
case reflect.Float32, reflect.Float64:
return setFloat
}
if ftype == typeOfNullFloat64 {
return func(v reflect.Value, x interface{}) error {
return setNull(v, x, func() interface{} {
return NullFloat64{Float64: x.(float64), Valid: true}
})
}
}
case BooleanFieldType:
if ftype.Kind() == reflect.Bool {
return setBool
}
if ftype == typeOfNullBool {
return func(v reflect.Value, x interface{}) error {
return setNull(v, x, func() interface{} {
return NullBool{Bool: x.(bool), Valid: true}
})
}
}
case TimestampFieldType:
if ftype == typeOfGoTime {
return setAny
}
if ftype == typeOfNullTimestamp {
return func(v reflect.Value, x interface{}) error {
return setNull(v, x, func() interface{} {
return NullTimestamp{Timestamp: x.(time.Time), Valid: true}
})
}
}
case DateFieldType:
if ftype == typeOfDate {
return setAny
}
if ftype == typeOfNullDate {
return func(v reflect.Value, x interface{}) error {
return setNull(v, x, func() interface{} {
return NullDate{Date: x.(civil.Date), Valid: true}
})
}
}
case TimeFieldType:
if ftype == typeOfTime {
return setAny
}
if ftype == typeOfNullTime {
return func(v reflect.Value, x interface{}) error {
return setNull(v, x, func() interface{} {
return NullTime{Time: x.(civil.Time), Valid: true}
})
}
}
case DateTimeFieldType:
if ftype == typeOfDateTime {
return setAny
}
if ftype == typeOfNullDateTime {
return func(v reflect.Value, x interface{}) error {
return setNull(v, x, func() interface{} {
return NullDateTime{DateTime: x.(civil.DateTime), Valid: true}
})
}
}
case NumericFieldType:
if ftype == typeOfRat {
return func(v reflect.Value, x interface{}) error {
return setNull(v, x, func() interface{} { return x.(*big.Rat) })
}
}
case BigNumericFieldType:
if ftype == typeOfRat {
return func(v reflect.Value, x interface{}) error {
return setNull(v, x, func() interface{} { return x.(*big.Rat) })
}
}
}
return nil
}
func (sl *structLoader) Load(values []Value, _ Schema) error {
if sl.err != nil {
return sl.err
}
return runOps(sl.ops, sl.vstructp.Elem(), values)
}
// runOps executes a sequence of ops, setting the fields of vstruct to the
// supplied values.
func runOps(ops []structLoaderOp, vstruct reflect.Value, values []Value) error {
for _, op := range ops {
field := vstruct.FieldByIndex(op.fieldIndex)
var err error
if op.repeated {
err = setRepeated(field, values[op.valueIndex].([]Value), op.setFunc)
} else {
err = op.setFunc(field, values[op.valueIndex])
if errors.Is(err, errNoNulls) {
f := vstruct.Type().FieldByIndex(op.fieldIndex)
err = fmt.Errorf("bigquery: NULL cannot be assigned to field `%s` of type %s", f.Name, f.Type.Name())
}
}
if err != nil {
return err
}
}
return nil
}
func setNested(ops []structLoaderOp, v reflect.Value, val interface{}) error {
// v is either a struct or a pointer to a struct.
if v.Kind() == reflect.Ptr {
// If the value is nil, set the pointer to nil.
if val == nil {
v.Set(reflect.Zero(v.Type()))
return nil
}
// If the pointer is nil, set it to a zero struct value.
if v.IsNil() {
v.Set(reflect.New(v.Type().Elem()))
}
v = v.Elem()
}
return runOps(ops, v, val.([]Value))
}
func setRepeated(field reflect.Value, vslice []Value, setElem setFunc) error {
vlen := len(vslice)
var flen int
switch field.Type().Kind() {
case reflect.Slice:
// Make a slice of the right size, avoiding allocation if possible.
switch {
case field.Len() < vlen:
field.Set(reflect.MakeSlice(field.Type(), vlen, vlen))
case field.Len() > vlen:
field.SetLen(vlen)
}
flen = vlen
case reflect.Array:
flen = field.Len()
if flen > vlen {
// Set extra elements to their zero value.
z := reflect.Zero(field.Type().Elem())
for i := vlen; i < flen; i++ {
field.Index(i).Set(z)
}
}
default:
return fmt.Errorf("bigquery: impossible field type %s", field.Type())
}
for i, val := range vslice {
if i < flen { // avoid writing past the end of a short array
if err := setElem(field.Index(i), val); err != nil {
return err
}
}
}
return nil
}
// A ValueSaver returns a row of data to be inserted into a table.
type ValueSaver interface {
// Save returns a row to be inserted into a BigQuery table, represented
// as a map from field name to Value.
// The insertID governs the best-effort deduplication feature of
// BigQuery streaming inserts.
//
// If the insertID is empty, a random insertID will be generated by
// this library to facilitate deduplication.
//
// If the insertID is set to the sentinel value NoDedupeID, an insertID
// is not sent.
//
// For all other non-empty values, BigQuery will use the provided
// value for best-effort deduplication.
Save() (row map[string]Value, insertID string, err error)
}
// ValuesSaver implements ValueSaver for a slice of Values.
type ValuesSaver struct {
Schema Schema
// InsertID governs the best-effort deduplication feature of
// BigQuery streaming inserts.
//
// If the InsertID is empty, a random insertID will be generated by
// this library to facilitate deduplication.
//
// If the InsertID is set to the sentinel value NoDedupeID, an insertID
// is not sent.
//
// For all other non-empty values, BigQuery will use the provided
// value for best-effort deduplication.
InsertID string
Row []Value
}
// Save implements ValueSaver.
func (vls *ValuesSaver) Save() (map[string]Value, string, error) {
m, err := valuesToMap(vls.Row, vls.Schema)
return m, vls.InsertID, err
}
func valuesToMap(vs []Value, schema Schema) (map[string]Value, error) {
if len(vs) != len(schema) {
return nil, errors.New("schema does not match length of row to be inserted")
}
m := make(map[string]Value)
for i, fieldSchema := range schema {
if vs[i] == nil {
m[fieldSchema.Name] = nil
continue
}
if fieldSchema.Type != RecordFieldType {
m[fieldSchema.Name] = toUploadValue(vs[i], fieldSchema)
continue
}
// Nested record, possibly repeated.
vals, ok := vs[i].([]Value)
if !ok {
return nil, errors.New("nested record is not a []Value")
}
if !fieldSchema.Repeated {
value, err := valuesToMap(vals, fieldSchema.Schema)
if err != nil {
return nil, err
}
m[fieldSchema.Name] = value
continue
}
// A repeated nested field is converted into a slice of maps.
maps := []Value{}
for _, v := range vals {
sv, ok := v.([]Value)
if !ok {
return nil, errors.New("nested record in slice is not a []Value")
}
value, err := valuesToMap(sv, fieldSchema.Schema)
if err != nil {
return nil, err
}
maps = append(maps, value)
}
m[fieldSchema.Name] = maps
}
return m, nil
}
// StructSaver implements ValueSaver for a struct.
// The struct is converted to a map of values by using the values of struct
// fields corresponding to schema fields. Additional and missing
// fields are ignored, as are nested struct pointers that are nil.
type StructSaver struct {
// Schema determines what fields of the struct are uploaded. It should
// match the table's schema.
// Schema is optional for StructSavers that are passed to Uploader.Put.
Schema Schema
// InsertID governs the best-effort deduplication feature of
// BigQuery streaming inserts.
//
// If the InsertID is empty, a random InsertID will be generated by
// this library to facilitate deduplication.
//
// If the InsertID is set to the sentinel value NoDedupeID, an InsertID
// is not sent.
//
// For all other non-empty values, BigQuery will use the provided
// value for best-effort deduplication.
InsertID string
// Struct should be a struct or a pointer to a struct.
Struct interface{}
}
// Save implements ValueSaver.
func (ss *StructSaver) Save() (row map[string]Value, insertID string, err error) {
vstruct := reflect.ValueOf(ss.Struct)
row, err = structToMap(vstruct, ss.Schema)
if err != nil {
return nil, "", err
}
return row, ss.InsertID, nil
}
func structToMap(vstruct reflect.Value, schema Schema) (map[string]Value, error) {
if vstruct.Kind() == reflect.Ptr {
vstruct = vstruct.Elem()
}
if !vstruct.IsValid() {
return nil, nil
}
m := map[string]Value{}
if vstruct.Kind() != reflect.Struct {
return nil, fmt.Errorf("bigquery: type is %s, need struct or struct pointer", vstruct.Type())
}
fields, err := fieldCache.Fields(vstruct.Type())
if err != nil {
return nil, err
}
for _, schemaField := range schema {
// Look for an exported struct field with the same name as the schema
// field, ignoring case.
structField := fields.Match(schemaField.Name)
if structField == nil {
continue
}
val, err := structFieldToUploadValue(vstruct.FieldByIndex(structField.Index), schemaField)
if err != nil {
return nil, err
}
// Add the value to the map, unless it is nil.
if val != nil {
m[schemaField.Name] = val
}
}
return m, nil
}
// structFieldToUploadValue converts a struct field to a value suitable for ValueSaver.Save, using
// the schemaField as a guide.
// structFieldToUploadValue is careful to return a true nil interface{} when needed, so its
// caller can easily identify a nil value.
func structFieldToUploadValue(vfield reflect.Value, schemaField *FieldSchema) (interface{}, error) {
if schemaField.Repeated && (vfield.Kind() != reflect.Slice && vfield.Kind() != reflect.Array) {
return nil, fmt.Errorf("bigquery: repeated schema field %s requires slice or array, but value has type %s",
schemaField.Name, vfield.Type())
}
// A non-nested field can be represented by its Go value, except for some types.
if schemaField.Type != RecordFieldType {
return toUploadValueReflect(vfield, schemaField), nil
}
// A non-repeated nested field is converted into a map[string]Value.
if !schemaField.Repeated {
m, err := structToMap(vfield, schemaField.Schema)
if err != nil {
return nil, err
}
if m == nil {
return nil, nil
}
return m, nil
}
// A repeated nested field is converted into a slice of maps.
// If the field is zero-length (but not nil), we return a zero-length []Value.
if vfield.IsNil() {
return nil, nil
}
vals := []Value{}
for i := 0; i < vfield.Len(); i++ {
m, err := structToMap(vfield.Index(i), schemaField.Schema)
if err != nil {
return nil, err
}
vals = append(vals, m)
}
return vals, nil
}
func toUploadValue(val interface{}, fs *FieldSchema) interface{} {
if fs.Type == TimeFieldType || fs.Type == DateTimeFieldType || fs.Type == NumericFieldType || fs.Type == BigNumericFieldType {
return toUploadValueReflect(reflect.ValueOf(val), fs)
}
return val
}
func toUploadValueReflect(v reflect.Value, fs *FieldSchema) interface{} {
switch fs.Type {
case TimeFieldType:
if v.Type() == typeOfNullTime {
return v.Interface()
}
return formatUploadValue(v, fs, func(v reflect.Value) string {
return CivilTimeString(v.Interface().(civil.Time))
})
case DateTimeFieldType:
if v.Type() == typeOfNullDateTime {
return v.Interface()
}
return formatUploadValue(v, fs, func(v reflect.Value) string {
return CivilDateTimeString(v.Interface().(civil.DateTime))
})
case NumericFieldType:
if r, ok := v.Interface().(*big.Rat); ok && r == nil {
return nil
}
return formatUploadValue(v, fs, func(v reflect.Value) string {
return NumericString(v.Interface().(*big.Rat))
})
case BigNumericFieldType:
if r, ok := v.Interface().(*big.Rat); ok && r == nil {
return nil
}
return formatUploadValue(v, fs, func(v reflect.Value) string {
return BigNumericString(v.Interface().(*big.Rat))
})
case IntervalFieldType:
if r, ok := v.Interface().(*IntervalValue); ok && r == nil {
return nil
}
return formatUploadValue(v, fs, func(v reflect.Value) string {
return IntervalString(v.Interface().(*IntervalValue))
})
default:
if !fs.Repeated || v.Len() > 0 {
return v.Interface()
}
// The service treats a null repeated field as an error. Return
// nil to omit the field entirely.
return nil
}
}
func formatUploadValue(v reflect.Value, fs *FieldSchema, cvt func(reflect.Value) string) interface{} {
if !fs.Repeated {
return cvt(v)
}
if v.Len() == 0 {
return nil
}
s := make([]string, v.Len())
for i := 0; i < v.Len(); i++ {
s[i] = cvt(v.Index(i))
}
return s
}
// CivilTimeString returns a string representing a civil.Time in a format compatible
// with BigQuery SQL. It rounds the time to the nearest microsecond and returns a
// string with six digits of sub-second precision.
//
// Use CivilTimeString when using civil.Time in DML, for example in INSERT
// statements.
func CivilTimeString(t civil.Time) string {
if t.Nanosecond == 0 {
return t.String()
}
micro := (t.Nanosecond + 500) / 1000 // round to nearest microsecond
t.Nanosecond = 0
return t.String() + fmt.Sprintf(".%06d", micro)
}
// CivilDateTimeString returns a string representing a civil.DateTime in a format compatible
// with BigQuery SQL. It separate the date and time with a space, and formats the time
// with CivilTimeString.
//
// Use CivilDateTimeString when using civil.DateTime in DML, for example in INSERT
// statements.
func CivilDateTimeString(dt civil.DateTime) string {
return dt.Date.String() + " " + CivilTimeString(dt.Time)
}
// parseCivilDateTime parses a date-time represented in a BigQuery SQL
// compatible format and returns a civil.DateTime.
func parseCivilDateTime(s string) (civil.DateTime, error) {
parts := strings.Fields(s)
if len(parts) != 2 {
return civil.DateTime{}, fmt.Errorf("bigquery: bad DATETIME value %q", s)
}
return civil.ParseDateTime(parts[0] + "T" + parts[1])
}
const (
// NumericPrecisionDigits is the maximum number of digits in a NUMERIC value.
NumericPrecisionDigits = 38
// NumericScaleDigits is the maximum number of digits after the decimal point in a NUMERIC value.
NumericScaleDigits = 9
// BigNumericPrecisionDigits is the maximum number of full digits in a BIGNUMERIC value.
BigNumericPrecisionDigits = 76
// BigNumericScaleDigits is the maximum number of full digits in a BIGNUMERIC value.
BigNumericScaleDigits = 38
)
// NumericString returns a string representing a *big.Rat in a format compatible
// with BigQuery SQL. It returns a floating-point literal with 9 digits
// after the decimal point.
func NumericString(r *big.Rat) string {
return r.FloatString(NumericScaleDigits)
}
// BigNumericString returns a string representing a *big.Rat in a format compatible with BigQuery
// SQL. It returns a floating point literal with 38 digits after the decimal point.
func BigNumericString(r *big.Rat) string {
return r.FloatString(BigNumericScaleDigits)
}
// IntervalString returns a string representing an *IntervalValue in a format compatible with
// BigQuery SQL. It returns an interval literal in canonical format.
func IntervalString(iv *IntervalValue) string {
return iv.String()
}
// convertRows converts a series of TableRows into a series of Value slices.
// schema is used to interpret the data from rows; its length must match the
// length of each row.
func convertRows(rows []*bq.TableRow, schema Schema) ([][]Value, error) {
var rs [][]Value
for _, r := range rows {
row, err := convertRow(r, schema)
if err != nil {
return nil, err
}
rs = append(rs, row)
}
return rs, nil
}
func convertRow(r *bq.TableRow, schema Schema) ([]Value, error) {
if len(schema) != len(r.F) {
return nil, errors.New("schema length does not match row length")
}
var values []Value
for i, cell := range r.F {
fs := schema[i]
v, err := convertValue(cell.V, fs.Type, fs.Schema)
if err != nil {
return nil, err
}
values = append(values, v)
}
return values, nil
}
func convertValue(val interface{}, typ FieldType, schema Schema) (Value, error) {
switch val := val.(type) {
case nil:
return nil, nil
case []interface{}:
return convertRepeatedRecord(val, typ, schema)
case map[string]interface{}:
return convertNestedRecord(val, schema)
case string:
return convertBasicType(val, typ)
default:
return nil, fmt.Errorf("got value %v; expected a value of type %s", val, typ)
}
}
func convertRepeatedRecord(vals []interface{}, typ FieldType, schema Schema) (Value, error) {
var values []Value
for _, cell := range vals {
// each cell contains a single entry, keyed by "v"
val := cell.(map[string]interface{})["v"]
v, err := convertValue(val, typ, schema)
if err != nil {
return nil, err
}
values = append(values, v)
}
return values, nil
}
func convertNestedRecord(val map[string]interface{}, schema Schema) (Value, error) {
// convertNestedRecord is similar to convertRow, as a record has the same structure as a row.
// Nested records are wrapped in a map with a single key, "f".
record := val["f"].([]interface{})
if len(record) != len(schema) {
return nil, errors.New("schema length does not match record length")
}
var values []Value
for i, cell := range record {
// each cell contains a single entry, keyed by "v"
val := cell.(map[string]interface{})["v"]
fs := schema[i]
v, err := convertValue(val, fs.Type, fs.Schema)
if err != nil {
return nil, err
}
values = append(values, v)
}
return values, nil
}
// convertBasicType returns val as an interface with a concrete type specified by typ.
func convertBasicType(val string, typ FieldType) (Value, error) {
switch typ {
case StringFieldType:
return val, nil
case BytesFieldType:
return base64.StdEncoding.DecodeString(val)
case IntegerFieldType:
return strconv.ParseInt(val, 10, 64)
case FloatFieldType:
return strconv.ParseFloat(val, 64)
case BooleanFieldType:
return strconv.ParseBool(val)
case TimestampFieldType:
f, err := strconv.ParseFloat(val, 64)
if err != nil {
return nil, err
}
secs := math.Trunc(f)
// Timestamps in BigQuery have microsecond precision, so we must
// return a round number of microseconds.
micros := math.Trunc((f-secs)*1e6 + 0.5)
return Value(time.Unix(int64(secs), int64(micros)*1000).UTC()), nil
case DateFieldType:
return civil.ParseDate(val)
case TimeFieldType:
return civil.ParseTime(val)
case DateTimeFieldType:
return civil.ParseDateTime(val)
case NumericFieldType:
r, ok := (&big.Rat{}).SetString(val)
if !ok {
return nil, fmt.Errorf("bigquery: invalid NUMERIC value %q", val)
}
return Value(r), nil
case BigNumericFieldType:
r, ok := (&big.Rat{}).SetString(val)
if !ok {
return nil, fmt.Errorf("bigquery: invalid BIGNUMERIC value %q", val)
}
return Value(r), nil
case GeographyFieldType:
return val, nil
case JSONFieldType:
return val, nil
case IntervalFieldType:
i, err := ParseInterval(val)
if err != nil {
return nil, fmt.Errorf("bigquery: invalid INTERVAL value %q", val)
}
return Value(i), nil
default:
return nil, fmt.Errorf("unrecognized type: %s", typ)
}
}