1. You still don't use labels and indexes in MERGE, it should look like this:
> MERGE (firstNode:Soap {id:{1}})
> ON CREATE SET firstNode.brand={2}
SET firstNode.updated = timestamp()
2. You don't use the API like that, but instead create a single
PreparedStatement then add parameters and execute, then clear, add new
parameters and execute
You don't operate on Neo4jConnection but only with the JDBC APIs.
Also this doesn't work: firstNode.brand="{2}"
it must be: firstNode.brand={2}
Am 06.05.2014 um 08:19 schrieb Gene Tan <[email protected]>:
> Hi Michael.
>
> I tried out using jdbc driver using the same scenario mentioned earlier
> inserting data by batch of 500 queries
> and query
> MERGE (firstNode {id:{1}})
> ON CREATE SET firstNode.brand="{2}", firstNode.updated = timestamp(),
> firstNode:Soap
> ON MATCH SET firstNode.updated=timestamp()
> MERGE (secondNode{id:'{3}'})
> ON CREATE SET secondNode.name="{4}", secondNode.updated = timestamp(),
> secondNode:Company
> ON MATCH SET secondNode.updated=timestamp()
> WITH firstNode, secondNode
> //CHANGE MANUFACTURER if there is an existing manufacturer
> OPTIONAL MATCH firstNode - [existing:`manufacturer`] - ()
> DELETE existing
> CREATE UNIQUE p = (firstNode)-[r:`manufacturer`]-(secondNode) RETURN p;
> and was wondering why jdbc driver processing time is slower that the java
> rest binding, or I am just using the wrong way... because for a small sample
> data 619 nodes and 4611 relationships it took the jdbc driver one minute to
> insert the data while, it just took 21 seconds for the java rest binding to
> insert the data.
> Here is the code used for inserting data:
> public void processList(List<CYPHERExecuteQueryObject> list) {
> for (CYPHERExecuteQueryObject c : list) {
> neo4jjdbcinsert(c.getQuery(), c.getParams());
> ctr++;
> if (ctr == 500) {
> commit();
> ctr = 0;
> }
> }
> }
>
> // set auto commit to false
> public void neo4jjdbcinsert(String query, Object... params) {
> try {
> if (con.isClosed()) {
> con = (Neo4jConnection)
> DriverManager.getConnection("jdbc:neo4j://localhost:7474/");
> con.setAutoCommit(false);
> }
> HashMap<String, Object> map = new HashMap<>();
> for (int i = 0; i < params.length; i++) {
> map.put(i + 1 +"", params[i]);
> }
> try {
> con.executeQuery(query, map);
> } catch (Exception e) {
> e.printStackTrace();
> }
> } catch (SQLException e) {
> e.printStackTrace();
> }
> }
>
> public void commit() {
> try {
> con.commit();
> } catch (SQLException e) {
> e.printStackTrace();
> } finally {
> try {
> con.close();
> } catch (SQLException e) {
> e.printStackTrace();
> }
> }
> }
>
>
> Thanks
>
> On Friday, May 2, 2014 4:14:30 PM UTC+8, Gene Tan wrote:
> Thanks! Michael, will try this out
>
> On Thursday, May 1, 2014 5:15:12 PM UTC+8, Michael Hunger wrote:
> 1. Use labels + indexes (or constraints)
>
> Without an label + existing index your first operation (merge) will have to
> go over all nodes in the graph to find if there is already a duplicate which
> it would then merge to
> the second CREATE UNIQUE should be a MERGE too.
>
> 2. Use parameters for your literal input values, otherwise cypher has to
> recompile the query every time and cannot reuse-the pre-compiled query plans.
> 3. you might want to move from Java-Rest-Binding to the JDBC driver, which is
> much better for cypher interactions with the server.
>
>
>
> On Wed, Apr 30, 2014 at 9:25 AM, Gene Tan <[email protected]> wrote:
> Hello,
>
> I am new to neo4j
> currently already have a graph that contains at least 180000 nodes and
> 1400000 relationships ,
> I am inserting data by batch of 500 queries, through the java rest binding
> library, and have observed that some queries had encountered read timeout, I
> was wondering if it is because of my query used for inserting data. Or is it
> related to configurations with neo4j..
> Here is a sample query that I am using for inserting data
> MERGE (firstNode {id:'1234'})
> ON CREATE SET firstNode.brand="Dove", firstNode.updated = timestamp(),
> firstNode:Soap
> ON MATCH SET firstNode.updated=timestamp()
> MERGE (secondNode{id:'2345'})
> ON CREATE SET secondNode.name="Dove Manufacturer", secondNode.updated =
> timestamp(), firstNode:Company
> ON MATCH SET secondNode.updated=timestamp()
> WITH firstNode, secondNode
> //CHANGE MANUFACTURER if there is an existing manufacturer
> OPTIONAL MATCH firstNode - [existing:`manufacturer`] - ()
> DELETE existing
> CREATE UNIQUE p = (firstNode)-[r:`manufacturer`]-(secondNode) RETURN p;
>
> Is there anyway to make this query run faster?
>
> Thanks!
>
>
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