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035d56409f
For historical reasons, the handling of element types for maps is inconsistent with other collection types. Here we begin a multi-step process to make it consistent, starting by supporting both the "consistent" form of using a schema.Schema and an existing erroneous form of using a schema.Type directly. In subsequent commits we will phase out the erroneous form and require the schema.Schema approach, the same as we do for TypeList and TypeSet.
240 lines
5.8 KiB
Go
240 lines
5.8 KiB
Go
package schema
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import (
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"fmt"
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"strings"
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"github.com/hashicorp/terraform/terraform"
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"github.com/mitchellh/mapstructure"
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)
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// DiffFieldReader reads fields out of a diff structures.
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//
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// It also requires access to a Reader that reads fields from the structure
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// that the diff was derived from. This is usually the state. This is required
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// because a diff on its own doesn't have complete data about full objects
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// such as maps.
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//
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// The Source MUST be the data that the diff was derived from. If it isn't,
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// the behavior of this struct is undefined.
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//
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// Reading fields from a DiffFieldReader is identical to reading from
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// Source except the diff will be applied to the end result.
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//
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// The "Exists" field on the result will be set to true if the complete
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// field exists whether its from the source, diff, or a combination of both.
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// It cannot be determined whether a retrieved value is composed of
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// diff elements.
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type DiffFieldReader struct {
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Diff *terraform.InstanceDiff
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Source FieldReader
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Schema map[string]*Schema
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// cache for memoizing ReadField calls.
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cache map[string]cachedFieldReadResult
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}
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type cachedFieldReadResult struct {
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val FieldReadResult
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err error
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}
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func (r *DiffFieldReader) ReadField(address []string) (FieldReadResult, error) {
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if r.cache == nil {
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r.cache = make(map[string]cachedFieldReadResult)
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}
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// Create the cache key by joining around a value that isn't a valid part
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// of an address. This assumes that the Source and Schema are not changed
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// for the life of this DiffFieldReader.
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cacheKey := strings.Join(address, "|")
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if cached, ok := r.cache[cacheKey]; ok {
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return cached.val, cached.err
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}
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schemaList := addrToSchema(address, r.Schema)
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if len(schemaList) == 0 {
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r.cache[cacheKey] = cachedFieldReadResult{}
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return FieldReadResult{}, nil
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}
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var res FieldReadResult
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var err error
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schema := schemaList[len(schemaList)-1]
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switch schema.Type {
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case TypeBool, TypeInt, TypeFloat, TypeString:
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res, err = r.readPrimitive(address, schema)
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case TypeList:
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res, err = readListField(r, address, schema)
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case TypeMap:
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res, err = r.readMap(address, schema)
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case TypeSet:
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res, err = r.readSet(address, schema)
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case typeObject:
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res, err = readObjectField(r, address, schema.Elem.(map[string]*Schema))
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default:
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panic(fmt.Sprintf("Unknown type: %#v", schema.Type))
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}
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r.cache[cacheKey] = cachedFieldReadResult{
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val: res,
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err: err,
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}
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return res, err
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}
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func (r *DiffFieldReader) readMap(
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address []string, schema *Schema) (FieldReadResult, error) {
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result := make(map[string]interface{})
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resultSet := false
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// First read the map from the underlying source
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source, err := r.Source.ReadField(address)
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if err != nil {
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return FieldReadResult{}, err
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}
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if source.Exists {
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result = source.Value.(map[string]interface{})
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resultSet = true
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}
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// Next, read all the elements we have in our diff, and apply
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// the diff to our result.
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prefix := strings.Join(address, ".") + "."
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for k, v := range r.Diff.Attributes {
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if !strings.HasPrefix(k, prefix) {
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continue
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}
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if strings.HasPrefix(k, prefix+"%") {
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// Ignore the count field
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continue
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}
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resultSet = true
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k = k[len(prefix):]
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if v.NewRemoved {
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delete(result, k)
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continue
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}
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result[k] = v.New
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}
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key := address[len(address)-1]
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err = mapValuesToPrimitive(key, result, schema)
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if err != nil {
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return FieldReadResult{}, nil
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}
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var resultVal interface{}
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if resultSet {
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resultVal = result
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}
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return FieldReadResult{
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Value: resultVal,
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Exists: resultSet,
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}, nil
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}
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func (r *DiffFieldReader) readPrimitive(
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address []string, schema *Schema) (FieldReadResult, error) {
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result, err := r.Source.ReadField(address)
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if err != nil {
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return FieldReadResult{}, err
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}
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attrD, ok := r.Diff.Attributes[strings.Join(address, ".")]
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if !ok {
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return result, nil
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}
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var resultVal string
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if !attrD.NewComputed {
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resultVal = attrD.New
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if attrD.NewExtra != nil {
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result.ValueProcessed = resultVal
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if err := mapstructure.WeakDecode(attrD.NewExtra, &resultVal); err != nil {
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return FieldReadResult{}, err
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}
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}
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}
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result.Computed = attrD.NewComputed
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result.Exists = true
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result.Value, err = stringToPrimitive(resultVal, false, schema)
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if err != nil {
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return FieldReadResult{}, err
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}
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return result, nil
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}
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func (r *DiffFieldReader) readSet(
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address []string, schema *Schema) (FieldReadResult, error) {
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prefix := strings.Join(address, ".") + "."
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// Create the set that will be our result
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set := schema.ZeroValue().(*Set)
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// Go through the map and find all the set items
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for k, d := range r.Diff.Attributes {
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if d.NewRemoved {
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// If the field is removed, we always ignore it
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continue
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}
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if !strings.HasPrefix(k, prefix) {
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continue
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}
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if strings.HasSuffix(k, "#") {
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// Ignore any count field
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continue
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}
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// Split the key, since it might be a sub-object like "idx.field"
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parts := strings.Split(k[len(prefix):], ".")
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idx := parts[0]
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raw, err := r.ReadField(append(address, idx))
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if err != nil {
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return FieldReadResult{}, err
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}
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if !raw.Exists {
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// This shouldn't happen because we just verified it does exist
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panic("missing field in set: " + k + "." + idx)
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}
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set.Add(raw.Value)
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}
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// Determine if the set "exists". It exists if there are items or if
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// the diff explicitly wanted it empty.
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exists := set.Len() > 0
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if !exists {
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// We could check if the diff value is "0" here but I think the
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// existence of "#" on its own is enough to show it existed. This
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// protects us in the future from the zero value changing from
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// "0" to "" breaking us (if that were to happen).
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if _, ok := r.Diff.Attributes[prefix+"#"]; ok {
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exists = true
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}
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}
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if !exists {
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result, err := r.Source.ReadField(address)
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if err != nil {
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return FieldReadResult{}, err
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}
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if result.Exists {
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return result, nil
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}
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}
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return FieldReadResult{
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Value: set,
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Exists: exists,
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}, nil
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}
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