Synchronizing shards

If there is any communication interruption in the search network, some operations may not complete correctly. To resolve such problems, call the synchronize method of the Indexer class. The method synchronizes the list of indexed documents kept by the indexer with the documents in the shards.

The asynchronous operation flag is available as an option (SynchronizeOptions.is_async). You can track the completion of the operation by subscribing to the synchronization_completed event.

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 sample file is used in this example: SearchNetwork/Configuration.xml

The following code example, which continues the previous one, demonstrates how to synchronize search network nodes.

from groupdocs.search.options import SynchronizeOptions

print("Synchronizing shards")
indexer = node.indexer
options = SynchronizeOptions()
indexer.synchronize(options)

More resources

GitHub examples

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

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