Don't acquire new connection objects
Don't create new prepared statements

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Am 06.05.2014 um 09:31 schrieb Gene Tan <[email protected]>:

> Hi Michael,
> 
> I have made changes to the query and the code used but it seems the query 
> time for jdbc driver is still slower comapred to Java Rest Binding,
> 
> MERGE (firstNode:Soap {id:{1}})
> ON CREATE SET firstNode.brand={2}, firstNode.updated = timestamp()
> ON MATCH SET firstNode.updated=timestamp()
> MERGE (secondNode:Company {id:'{3}'}) 
> ON CREATE SET secondNode.name="{4}", secondNode.updated = timestamp()
> ON MATCH SET secondNode.updated=timestamp()
> WITH firstNode, secondNode 
> OPTIONAL MATCH firstNode - [existing:`manufacturer`] - () 
> DELETE existing 
> MERGE (firstNode)-[r:`manufacturer`]-(secondNode);
> 
> 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 = 
> DriverManager.getConnection("jdbc:neo4j://localhost:7474/");
>                 con.setAutoCommit(false);
>             }
>             try {
>                 PreparedStatement preparedStatement = 
> con.prepareStatement(query);
>                 preparedStatement.clearParameters();
>                 for (int i = 0; i < params.length; i++) {
>                     preparedStatement.setObject(i+1, params[i]);
>                 }
>                 preparedStatement.execute();
>             } 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();
>             }
>         }
>     }
> 
> 
> 
> 
> On Tuesday, May 6, 2014 2:37:17 PM UTC+8, Michael Hunger wrote:
>> 
>> 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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>>> 
>>> 
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