py2neo的WriteBatch操作失败 [英] Failed WriteBatch Operation with py2neo

问题描述

我正在尝试找到以下问题的解决方法.我已经在 SO问题中对此问题进行了类似的描述，但没有真的回答了.

I am trying to find a workaround to the following problem. I have seen it quasi-described in this SO question, yet not really answered.

以下代码失败，从新的图形开始:

The following code fails, starting with a fresh graph:

from py2neo import neo4j

def add_test_nodes():
    # Add a test node manually
    alice = g.get_or_create_indexed_node("Users", "user_id", 12345, {"user_id":12345})

def do_batch(graph):
    # Begin batch write transaction
    batch = neo4j.WriteBatch(graph)

    # get some updated node properties to add
    new_node_data = {"user_id":12345, "name": "Alice"}

    # batch requests
    a = batch.get_or_create_in_index(neo4j.Node, "Users", "user_id", 12345, {})
    batch.set_properties(a, new_node_data)  #<-- I'm the problem

    # execute batch requests and clear
    batch.run()
    batch.clear()

if __name__ == '__main__':
    # Initialize Graph DB service and create a Users node index
    g = neo4j.GraphDatabaseService()
    users_idx = g.get_or_create_index(neo4j.Node, "Users")

    # run the test functions
    add_test_nodes()
    alice = g.get_or_create_indexed_node("Users", "user_id", 12345)
    print alice

    do_batch(g)

    # get alice back and assert additional properties were added
    alice = g.get_or_create_indexed_node("Users", "user_id", 12345)
    assert "name" in alice

简而言之，我希望在一个批处理中更新现有的索引节点属性.失败发生在batch.set_properties行，这是因为前一行返回的BatchRequest对象没有被解释为有效节点.尽管并非完全相同，但感觉就像我正在尝试在此处

In short, I wish, in one batch transaction, to update existing indexed node properties. The failure is occurring at the batch.set_properties line, and it is because the BatchRequest object returned by the previous line is not being interpreted as a valid node. Though not entirely indentical, it feels like I am attempting something like the answer posted here

一些细节

>>> import py2neo
>>> py2neo.__version__
'1.6.0'
>>> g = py2neo.neo4j.GraphDatabaseService()
>>> g.neo4j_version
(2, 0, 0, u'M06') 

更新

如果我将问题分成几批，那么它可以正常运行:

Update

If I split the problem into separate batches, then it can run without error:

def do_batch(graph):
    # Begin batch write transaction
    batch = neo4j.WriteBatch(graph)

    # get some updated node properties to add
    new_node_data = {"user_id":12345, "name": "Alice"}

    # batch request 1
    batch.get_or_create_in_index(neo4j.Node, "Users", "user_id", 12345, {})

    # execute batch request and clear
    alice = batch.submit()
    batch.clear()

    # batch request 2
    batch.set_properties(a, new_node_data)

    # execute batch request and clear
    batch.run()
    batch.clear()

这也适用于许多节点.尽管我不喜欢将批次拆分的想法，但这可能是目前的唯一方法.有人对此有何评论?

This works for many nodes as well. Though I do not love the idea of splitting the batch up, this might be the only way at the moment. Anyone have some comments on this?

推荐答案

在阅读了Neo4j 2.0.0-M06的所有新功能之后，似乎已经取代了旧的节点和关系索引工作流程.目前，在完成索引编制的方式方面，neo方面存在一些分歧.即，标签和

After reading up on all the new features of Neo4j 2.0.0-M06, it seems that the older workflow of node and relationship indexes are being superseded. There is presently a bit of a divergence on the part of neo in the way indexing is done. Namely, labels and schema indexes.

标签可以任意附加到节点上，并且可以用作索引的参考.

Labels can be arbitrarily attached to nodes and can serve as a reference for an index.

可以通过引用标签(此处为User)和节点属性键(screen_name)在Cypher中创建索引:

Indexes can be created in Cypher by referencing Labels (here, User) and node property key, (screen_name):

CREATE INDEX ON :User(screen_name)

密码MERGE

此外，现在可以通过新密码 MERGE 函数，该函数非常简洁地合并了Labels及其索引:

Cypher MERGE

Furthermore, the indexed get_or_create methods are now possible via the new cypher MERGE function, which incorporate Labels and their indexes quite succinctly:

MERGE (me:User{screen_name:"SunPowered"}) RETURN me

批次

可以通过将CypherQuery实例附加到批处理对象来在py2neo中对此类查询进行批处理:

Batch

Queries of the sort can be batched in py2neo by appending a CypherQuery instance to the batch object:

from py2neo import neo4j

graph_db = neo4j.GraphDatabaseService()
cypher_merge_user = neo4j.CypherQuery(graph_db, 
    "MERGE (user:User {screen_name:{name}}) RETURN user")

def get_or_create_user(screen_name):
    """Return the user if exists, create one if not"""
    return cypher_merge_user.execute_one(name=screen_name)

def get_or_create_users(screen_names):
    """Apply the get or create user cypher query to many usernames in a 
    batch transaction"""

    batch = neo4j.WriteBatch(graph_db)

    for screen_name in screen_names:
        batch.append_cypher(cypher_merge_user, params=dict(name=screen_name))

    return batch.submit()

root = get_or_create_user("Root")
users = get_or_create_users(["alice", "bob", "charlie"])

限制

但是，存在一个局限性，即批处理事务中的密码查询结果不能稍后在同一事务中引用.最初的问题是关于在一个批处理事务中更新索引用户属性的集合.据我所知，这仍然是不可能的.例如，以下代码段将引发错误:

Limitation

There is a limitation, however, in that the results from a cypher query in a batch transaction cannot be referenced later in the same transaction. The original question was in reference to updating a collection of indexed user properties in one batch transaction. This is still not possible, as far as I can muster. For example, the following snippet throws an error:

batch = neo4j.WriteBatch(graph_db)
b1 = batch.append_cypher(cypher_merge_user, params=dict(name="Alice"))
batch.set_properties(b1, dict(last_name="Smith")})
resp = batch.submit()

因此，似乎不再需要在使用py2neo的带标签节点上实现get_or_create的开销，因为不再需要遗留索引，但原始问题仍然需要2个单独的批处理事务才能完成.

So, it seems that although there is a bit less overhead in implementing the get_or_create over a labelled node using py2neo because the legacy indexes are no longer necessary, the original question still needs 2 separate batch transactions to complete.

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