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The vendor/ folder was created with the help of @FiloSottile's gvt and vendorcheck. Any dependencies of Caddy plugins outside this repo are not vendored. We do not remove any unused, vendored packages because vendorcheck -u only checks using the current build configuration; i.e. packages that may be imported by files toggled by build tags of other systems. CI tests have been updated to ignore the vendor/ folder. When Go 1.9 is released, a few of the go commands should be revised to again use ./... as it will ignore the vendor folder by default.
361 lines
11 KiB
Go
361 lines
11 KiB
Go
// Copyright 2011 Google Inc. All rights reserved.
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// Use of this source code is governed by the Apache 2.0
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// license that can be found in the LICENSE file.
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/*
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Package datastore provides a client for App Engine's datastore service.
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Basic Operations
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Entities are the unit of storage and are associated with a key. A key
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consists of an optional parent key, a string application ID, a string kind
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(also known as an entity type), and either a StringID or an IntID. A
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StringID is also known as an entity name or key name.
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It is valid to create a key with a zero StringID and a zero IntID; this is
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called an incomplete key, and does not refer to any saved entity. Putting an
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entity into the datastore under an incomplete key will cause a unique key
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to be generated for that entity, with a non-zero IntID.
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An entity's contents are a mapping from case-sensitive field names to values.
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Valid value types are:
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- signed integers (int, int8, int16, int32 and int64),
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- bool,
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- string,
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- float32 and float64,
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- []byte (up to 1 megabyte in length),
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- any type whose underlying type is one of the above predeclared types,
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- ByteString,
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- *Key,
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- time.Time (stored with microsecond precision),
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- appengine.BlobKey,
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- appengine.GeoPoint,
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- structs whose fields are all valid value types,
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- slices of any of the above.
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Slices of structs are valid, as are structs that contain slices. However, if
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one struct contains another, then at most one of those can be repeated. This
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disqualifies recursively defined struct types: any struct T that (directly or
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indirectly) contains a []T.
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The Get and Put functions load and save an entity's contents. An entity's
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contents are typically represented by a struct pointer.
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Example code:
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type Entity struct {
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Value string
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}
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func handle(w http.ResponseWriter, r *http.Request) {
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ctx := appengine.NewContext(r)
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k := datastore.NewKey(ctx, "Entity", "stringID", 0, nil)
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e := new(Entity)
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if err := datastore.Get(ctx, k, e); err != nil {
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http.Error(w, err.Error(), 500)
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return
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}
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old := e.Value
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e.Value = r.URL.Path
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if _, err := datastore.Put(ctx, k, e); err != nil {
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http.Error(w, err.Error(), 500)
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return
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}
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w.Header().Set("Content-Type", "text/plain; charset=utf-8")
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fmt.Fprintf(w, "old=%q\nnew=%q\n", old, e.Value)
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}
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GetMulti, PutMulti and DeleteMulti are batch versions of the Get, Put and
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Delete functions. They take a []*Key instead of a *Key, and may return an
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appengine.MultiError when encountering partial failure.
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Properties
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An entity's contents can be represented by a variety of types. These are
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typically struct pointers, but can also be any type that implements the
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PropertyLoadSaver interface. If using a struct pointer, you do not have to
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explicitly implement the PropertyLoadSaver interface; the datastore will
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automatically convert via reflection. If a struct pointer does implement that
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interface then those methods will be used in preference to the default
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behavior for struct pointers. Struct pointers are more strongly typed and are
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easier to use; PropertyLoadSavers are more flexible.
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The actual types passed do not have to match between Get and Put calls or even
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across different calls to datastore. It is valid to put a *PropertyList and
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get that same entity as a *myStruct, or put a *myStruct0 and get a *myStruct1.
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Conceptually, any entity is saved as a sequence of properties, and is loaded
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into the destination value on a property-by-property basis. When loading into
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a struct pointer, an entity that cannot be completely represented (such as a
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missing field) will result in an ErrFieldMismatch error but it is up to the
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caller whether this error is fatal, recoverable or ignorable.
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By default, for struct pointers, all properties are potentially indexed, and
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the property name is the same as the field name (and hence must start with an
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upper case letter).
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Fields may have a `datastore:"name,options"` tag. The tag name is the
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property name, which must be one or more valid Go identifiers joined by ".",
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but may start with a lower case letter. An empty tag name means to just use the
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field name. A "-" tag name means that the datastore will ignore that field.
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The only valid options are "omitempty" and "noindex".
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If the options include "omitempty" and the value of the field is empty, then the field will be omitted on Save.
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The empty values are false, 0, any nil interface value, and any array, slice, map, or string of length zero.
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Struct field values will never be empty.
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If options include "noindex" then the field will not be indexed. All fields are indexed
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by default. Strings or byte slices longer than 1500 bytes cannot be indexed;
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fields used to store long strings and byte slices must be tagged with "noindex"
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or they will cause Put operations to fail.
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To use multiple options together, separate them by a comma.
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The order does not matter.
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If the options is "" then the comma may be omitted.
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Example code:
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// A and B are renamed to a and b.
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// A, C and J are not indexed.
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// D's tag is equivalent to having no tag at all (E).
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// I is ignored entirely by the datastore.
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// J has tag information for both the datastore and json packages.
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type TaggedStruct struct {
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A int `datastore:"a,noindex"`
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B int `datastore:"b"`
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C int `datastore:",noindex"`
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D int `datastore:""`
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E int
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I int `datastore:"-"`
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J int `datastore:",noindex" json:"j"`
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}
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Structured Properties
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If the struct pointed to contains other structs, then the nested or embedded
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structs are flattened. For example, given these definitions:
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type Inner1 struct {
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W int32
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X string
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}
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type Inner2 struct {
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Y float64
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}
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type Inner3 struct {
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Z bool
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}
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type Outer struct {
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A int16
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I []Inner1
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J Inner2
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Inner3
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}
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then an Outer's properties would be equivalent to those of:
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type OuterEquivalent struct {
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A int16
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IDotW []int32 `datastore:"I.W"`
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IDotX []string `datastore:"I.X"`
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JDotY float64 `datastore:"J.Y"`
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Z bool
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}
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If Outer's embedded Inner3 field was tagged as `datastore:"Foo"` then the
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equivalent field would instead be: FooDotZ bool `datastore:"Foo.Z"`.
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If an outer struct is tagged "noindex" then all of its implicit flattened
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fields are effectively "noindex".
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The PropertyLoadSaver Interface
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An entity's contents can also be represented by any type that implements the
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PropertyLoadSaver interface. This type may be a struct pointer, but it does
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not have to be. The datastore package will call Load when getting the entity's
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contents, and Save when putting the entity's contents.
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Possible uses include deriving non-stored fields, verifying fields, or indexing
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a field only if its value is positive.
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Example code:
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type CustomPropsExample struct {
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I, J int
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// Sum is not stored, but should always be equal to I + J.
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Sum int `datastore:"-"`
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}
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func (x *CustomPropsExample) Load(ps []datastore.Property) error {
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// Load I and J as usual.
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if err := datastore.LoadStruct(x, ps); err != nil {
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return err
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}
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// Derive the Sum field.
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x.Sum = x.I + x.J
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return nil
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}
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func (x *CustomPropsExample) Save() ([]datastore.Property, error) {
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// Validate the Sum field.
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if x.Sum != x.I + x.J {
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return nil, errors.New("CustomPropsExample has inconsistent sum")
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}
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// Save I and J as usual. The code below is equivalent to calling
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// "return datastore.SaveStruct(x)", but is done manually for
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// demonstration purposes.
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return []datastore.Property{
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{
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Name: "I",
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Value: int64(x.I),
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},
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{
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Name: "J",
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Value: int64(x.J),
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},
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}, nil
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}
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The *PropertyList type implements PropertyLoadSaver, and can therefore hold an
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arbitrary entity's contents.
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Queries
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Queries retrieve entities based on their properties or key's ancestry. Running
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a query yields an iterator of results: either keys or (key, entity) pairs.
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Queries are re-usable and it is safe to call Query.Run from concurrent
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goroutines. Iterators are not safe for concurrent use.
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Queries are immutable, and are either created by calling NewQuery, or derived
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from an existing query by calling a method like Filter or Order that returns a
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new query value. A query is typically constructed by calling NewQuery followed
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by a chain of zero or more such methods. These methods are:
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- Ancestor and Filter constrain the entities returned by running a query.
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- Order affects the order in which they are returned.
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- Project constrains the fields returned.
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- Distinct de-duplicates projected entities.
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- KeysOnly makes the iterator return only keys, not (key, entity) pairs.
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- Start, End, Offset and Limit define which sub-sequence of matching entities
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to return. Start and End take cursors, Offset and Limit take integers. Start
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and Offset affect the first result, End and Limit affect the last result.
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If both Start and Offset are set, then the offset is relative to Start.
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If both End and Limit are set, then the earliest constraint wins. Limit is
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relative to Start+Offset, not relative to End. As a special case, a
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negative limit means unlimited.
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Example code:
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type Widget struct {
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Description string
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Price int
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}
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func handle(w http.ResponseWriter, r *http.Request) {
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ctx := appengine.NewContext(r)
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q := datastore.NewQuery("Widget").
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Filter("Price <", 1000).
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Order("-Price")
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b := new(bytes.Buffer)
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for t := q.Run(ctx); ; {
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var x Widget
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key, err := t.Next(&x)
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if err == datastore.Done {
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break
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}
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if err != nil {
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serveError(ctx, w, err)
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return
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}
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fmt.Fprintf(b, "Key=%v\nWidget=%#v\n\n", key, x)
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}
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w.Header().Set("Content-Type", "text/plain; charset=utf-8")
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io.Copy(w, b)
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}
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Transactions
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RunInTransaction runs a function in a transaction.
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Example code:
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type Counter struct {
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Count int
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}
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func inc(ctx context.Context, key *datastore.Key) (int, error) {
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var x Counter
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if err := datastore.Get(ctx, key, &x); err != nil && err != datastore.ErrNoSuchEntity {
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return 0, err
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}
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x.Count++
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if _, err := datastore.Put(ctx, key, &x); err != nil {
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return 0, err
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}
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return x.Count, nil
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}
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func handle(w http.ResponseWriter, r *http.Request) {
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ctx := appengine.NewContext(r)
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var count int
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err := datastore.RunInTransaction(ctx, func(ctx context.Context) error {
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var err1 error
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count, err1 = inc(ctx, datastore.NewKey(ctx, "Counter", "singleton", 0, nil))
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return err1
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}, nil)
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if err != nil {
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serveError(ctx, w, err)
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return
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}
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w.Header().Set("Content-Type", "text/plain; charset=utf-8")
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fmt.Fprintf(w, "Count=%d", count)
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}
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Metadata
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The datastore package provides access to some of App Engine's datastore
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metadata. This metadata includes information about the entity groups,
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namespaces, entity kinds, and properties in the datastore, as well as the
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property representations for each property.
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Example code:
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func handle(w http.ResponseWriter, r *http.Request) {
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// Print all the kinds in the datastore, with all the indexed
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// properties (and their representations) for each.
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ctx := appengine.NewContext(r)
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kinds, err := datastore.Kinds(ctx)
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if err != nil {
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serveError(ctx, w, err)
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return
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}
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w.Header().Set("Content-Type", "text/plain; charset=utf-8")
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for _, kind := range kinds {
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fmt.Fprintf(w, "%s:\n", kind)
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props, err := datastore.KindProperties(ctx, kind)
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if err != nil {
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fmt.Fprintln(w, "\t(unable to retrieve properties)")
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continue
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}
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for p, rep := range props {
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fmt.Fprintf(w, "\t-%s (%s)\n", p, strings.Join(rep, ", "))
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}
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}
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}
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*/
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package datastore // import "google.golang.org/appengine/datastore"
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