{"action":"created","comment":{"url":"https://api.github.com/repos/Linkurious/documentation/pulls/comments/241356430","pull_request_review_id":184605138,"id":241356430,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDI0MTM1NjQzMA==","diff_hunk":"@@ -71,19 +71,112 @@ Follow these steps to use install this Neo4j plugin:\n    ```\n \n #### Note regarding `initializeUntil`\n-This is used to trigger the indexation of existing Neo4j data in Elasticsearch.\n-\n-The way it is supposed to be used is the following: `com.graphaware.module.ES.initializeUntil` must\n-be set to a number slightly higher than a Java call to `System.currentTimeInMillis()` would return\n-when the module is starting.\n-This way, the database will be (re-)indexed once, not with every following restart.\n+The `initializeUntil` specification is used to trigger the indexation of existing Neo4j data in Elasticsearch. This is because `com.graphaware.module.ES.initializeUntil` must\n+be set to a number slightly higher than a Java call to `System.currentTimeInMillis()` would normally return\n+when the module is started. Thus, the database will be (re-)indexed only once, and not with every subsequent restart.\n \n > In other words, re-indexing will happen if `System.currentTimeInMillis() < com.graphaware.module.ES.initializeUntil`.\n \n ### Integrate with Linkurious\n \n Once the `neo4j-to-elasticsearch` plugin is installed, you need to change\n-the data-source configuration to use the `neo2es` vendor.\n+the relevant data-source configuration to use `neo2es` as its search index vendor.\n \n You can either [use the Web user-interface](/search/#using-the-web-user-interface)\n or edit the configuration file located at {{config}} to set the `index.vendor` property to the value `neo2es`.\n+\n+### Troubleshooting and Optimization\n+\n+For smaller indexation tasks, `neo4j-to-elasticsearch` can be used straight out of the box. Larger indexes are trickier. If you find that indexation is failing to complete, or that search is unusually slow, you will need to settle for partial indexation in order to keep Elasticsearch usable.\n+\n+Partial indexation can be configured in your Neo4j configuration file (`neo4j/conf/neo4j.conf`) by specifying a subset of your graph to index. You can do this by selecting which types of nodes and edges to keep and which properties to index on these nodes.\n+\n+(For a detailed list of configuration options, please consult Neo4j-to-elasticsearch's official documentation, available [at Graphaware's Github repo](https://github.com/graphaware/neo4j-to-elasticsearch). This guide will focus on a few use cases that should be adaptable to a wide variety of graph models.)\n+\n+#### Configuration Options\n+\n+Partial indexation is handled by four options which can be added to your Neo4J configuration file:\n+\n+```\n+com.graphaware.module.ES.node=...\n+com.graphaware.module.ES.node.property=...\n+com.graphaware.module.ES.relationship=...\n+com.graphaware.module.ES.relationship.property=...\n+```\n+\n+`com.graphaware.module.ES.node` and `com.graphaware.module.ES.relationship` control which nodes and relationships to index. `com.graphaware.module.ES.node.property` and `com.graphaware.module.ES.relationship.property` control which properties of these nodes and relationships to index.\n+\n+Each of these lines is followed by one or more parameters. Parameters are boolean expressions. They can be chained together using standard logical operators `&&` (AND) and `||` (OR). The most basic parameters are `(true)` and `(false)`. They will tell Elasticsearch either to index everything (the default behavior) or to index nothing. Note that the parentheses are required in order to force Elasticsearch to ignore these nodes while loading your database into the index.\n+\n+To reiterate, if we add the line\n+\n+`com.graphaware.module.ES.relationship=(false)`\n+\n+to our configuration file, Elasticsearch will not index any of the relationships in our database.\n+\n+The next step up is parameter functions. These allow for more complex inclusion and exclusion rules. For both nodes and edges, the following two functions are available:\n+\n+**getProperty('propName', 'defaultValue'):** Returns a property value, allowing you to compare it to another value using standard comparison operators.\n+\n+**hasProperty('propName'):** Returns `true` or `false` depending on whether a node or relationship contains a certain property.\n+\n+Additionally, there are functions specific to nodes and to edges. For nodes, those that are useful for partial indexation are:\n+\n+**getDegree(integer):** Returns the degree (number of edges) of a node. Can be used with comparison operators.\n+\n+**hasLabel('labelName'):** Returns `true` or `false` depending on whether the specified label is present on a node.\n+\n+And for relationships, they are:\n+\n+**isType('typeName'):** Returns `true` or `false` depending on whether the specified type is present on a relationship.\n+\n+**isOutgoing():** Returns `true` or `false` depending on whether a relationship is outgoing.\n+\n+**isIncoming():** Returns `true` or `false` depending on whether a relationship is incoming.\n+\n+(You can find a full list of functions [in Graphaware's inclusion policies maintained on their Github repo](https://github.com/graphaware/neo4j-framework/tree/master/common#inclusion-policies]).)\n+\n+### Example\n+\n+Say we have a due diligence database containing people, banks, account numbers, addresses, telephone numbers, and email addresses. It's a large database -- several hundred million nodes -- so to fully index the graph would be a lengthy process, and may ultimately be unnecessary if we are only interesting in full-text search on a restricted set of node and edge properties. \n+\n+The first question we should ask is about this data we are interested in. Maybe as part of our hypothesis about the data, we want to focus on a certain subset of connections that we believe form patterns of interest.\n+\n+Let's say that we want to focus on identifying information only -- we think that there are cases where this information is shared by multiple individuals, for instance, and we're interested in analyzing them. The nodes of interest to us will therefore be those nodes which represent pure identifiers and not entities themselves -- addresses, telephone numbers, account numbers, and email addresses. We can tell Elasticsearch to index these and only these by adding the following line to our Neo4J configuration file:\n+\n+`com.graphaware.module.ES.node=hasLabel('Address') || hasLabel('Telephone') || hasLabel('Email') || hasLabel('Account')`\n+\n+(`com.graphaware.module.ES.node=!hasLabel('Person') && !hasLabel('Bank')` will also work.)\n+\n+And since we aren't including people or banks, we also want to focus on the relationships relevant to our nodes of interest:\n+\n+```\n+com.graphaware.module.ES.relationship=isType('HAS_ADDRESS') || isType('HAS_PHONE') || isType('HAS_EMAIL') | isType('HAS_ACCOUNT')\n+```\n+\n+If we want to be even more specific, we can select only those properties which are relevant to our inquiry:\n+\n+```\n+com.graphaware.module.ES.node.property=key == 'address1' || key == 'city' || key == 'state' || key == 'number' || key == 'email' || key == 'accountNumber'","path":"content/admin/content/search/neo4j-to-elasticsearch.md","position":131,"original_position":131,"commit_id":"858007cab4fa0e687fecacf3edfa018fc4be4a3c","original_commit_id":"ddf4fe8cf3bee557c795b662d66fcc90da146c8c","user":{"login":"anabase","id":30048115,"node_id":"MDQ6VXNlcjMwMDQ4MTE1","avatar_url":"https://avatars0.githubusercontent.com/u/30048115?v=4","gravatar_id":"","url":"https://api.github.com/users/anabase","html_url":"https://github.com/anabase","followers_url":"https://api.github.com/users/anabase/followers","following_url":"https://api.github.com/users/anabase/following{/other_user}","gists_url":"https://api.github.com/users/anabase/gists{/gist_id}","starred_url":"https://api.github.com/users/anabase/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/anabase/subscriptions","organizations_url":"https://api.github.com/users/anabase/orgs","repos_url":"https://api.github.com/users/anabase/repos","events_url":"https://api.github.com/users/anabase/events{/privacy}","received_events_url":"https://api.github.com/users/anabase/received_events","type":"User","site_admin":false},"body":"i thought getProperty worked for relationships as well? what's the equivalent, if 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