Getting documents in network Leave feedback

To obtain a list of indexed documents in a specific search network shard, call the get_indexed_documents method of the Searcher class. The method returns a list of NetworkDocumentInfo objects; each of them contains the information about the document (document_info property) and the index of the shard that contains it (shard_index property).

To obtain a list of shards of the search network, use the get_shard_indices method of the SearchNetworkNode class. To get the index of the node on which a shard is located, use the get_node_index method.

It is also possible to get a list of nested items of an indexed container document. To do this, use the get_indexed_document_items method of the Searcher class.

The examples on this page use the master node of a running search network. The following code creates and starts the master node as described on the Search network deployment page; the slave nodes must be started beforehand. The examples that follow continue this code in the same Python process.

from groupdocs.search.common import FileLogger
from groupdocs.search.scaling import SearchNetworkNode
from groupdocs.search.scaling.configuring import Configuration, TcpSettings

base_path = "./SearchNetwork/"
base_port = 49100

# Loading the search network configuration from a file
configuration = Configuration.load(base_path + "Configuration.xml")

# Creating, configuring and starting the master node; the timeouts are specified in milliseconds
node = SearchNetworkNode.create_master_node(
    0,
    base_path + "Node0",
    TcpSettings(base_port, 3000, 3000, 3000, 1000),
    FileLogger(base_path + "Log.txt", 4.0),
    configuration)
node.configure_all_nodes()
node.start()

The following code example, which continues the previous one, demonstrates obtaining a list of documents indexed in the search network, as well as outputting the resulting data and the attributes of the documents to the console.

searcher = node.searcher
indexer = node.indexer

shard_indices = node.get_shard_indices()
print()
for shard_index in shard_indices:
    infos = searcher.get_indexed_documents(shard_index)
    for info in infos:
        node_index = node.get_node_index(info.shard_index)
        print("%d: %d: %s" % (node_index, info.shard_index, info.document_info.file_path))
        attributes = indexer.get_attributes(info.document_info.file_path)
        for attribute in attributes:
            print("\t\t" + attribute)

        items = searcher.get_indexed_document_items(info)
        for item in items:
            print("\t%d: %d: %s" % (node_index, item.shard_index, item.document_info))

You may easily run the code from documentation articles and see the features in action in our GitHub examples:

• GroupDocs.Search for Python via .NET examples

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