Ok, cool and you have the indexes for both :City(Id) and :Client(Id) ?
Michael Am 17.06.2014 um 18:15 schrieb Paul Damian <pauldamia...@gmail.com>: > The first query returns 999996 which is the number of rows in the file and > the second one returns Neo.DatabaseError.Statement.ExecutionFailure > probably because of the null values. But then I run the following command: > LOAD CSV WITH HEADERS FROM "file:/Users/pauld/Documents/LOCATED_IN.csv" AS c > MATCH (city:City { Id: toInt(c.CityId)}) > WHERE coalesce(c.CityId,"") <> "" > RETURN count(*) > > and I get 992980 > > > marți, 17 iunie 2014, 17:55:56 UTC+3, Michael Hunger a scris: > No you can just filter out the lines with no cityid > > Did you run my suggested commands? > >>>> LOAD CSV WITH HEADERS FROM "file:/Users/pauld/Documents/LOCATED_IN.csv" AS >>>> c >>>> MATCH (client: Client { Id: toInt(c.Id)}) >>> RETURN count(*) >>> >>>> LOAD CSV WITH HEADERS FROM "file:/Users/pauld/Documents/LOCATED_IN.csv" AS >>>> c >>>> MATCH (city: City { Id: toInt(c.CityId)}) >>> RETURN count(*) > >> > >>>> LOAD CSV WITH HEADERS FROM "file:/Users/pauld/Documents/LOCATED_IN.csv" AS >>>> c > return c > limit 10 > >>> > > Am 17.06.2014 um 16:37 schrieb Paul Damian <paulda...@gmail.com>: > >> in the file I only have 2 columns, one for client id, which is always not >> null and CityId, which may be sometimes null. Should I export the records >> from SQL database leaving out the columns that contain null values? >> >> marți, 17 iunie 2014, 15:39:14 UTC+3, Michael Hunger a scris: >> if they don't have a value for city id, do they then have empty columns >> there still? like "user-id,, >> >> You probably want to filter these rows? >> >>>> LOAD CSV WITH HEADERS FROM "file:/Users/pauld/Documents/LOCATED_IN.csv" AS >>>> c >> WHERE coalesce(c.CitiId,"") <> "" >> ... >> >> Am 17.06.2014 um 11:23 schrieb Paul Damian <paulda...@gmail.com>: >> >>> Well, the csv file contains some rows that do not have a value for CityId, >>> and the rows are unique regarding the clientID. There are 11M clients >>> living in 14K Cities. Is there a limit of links/node? >>> Now I've created a piece of code that reads from file and creates each >>> relationship, but, as you can imagine, it works really slow in this >>> scenario. >>> >>> did you create an index on :Client(Id) and :City(Id) >>> >>> what happens if you do: >>> >>>> LOAD CSV WITH HEADERS FROM "file:/Users/pauld/Documents/LOCATED_IN.csv" AS >>>> c >>>> MATCH (client: Client { Id: toInt(c.Id)}) >>> RETURN count(*) >>> >>>> LOAD CSV WITH HEADERS FROM "file:/Users/pauld/Documents/LOCATED_IN.csv" AS >>>> c >>>> MATCH (city: City { Id: toInt(c.CityId)}) >>> RETURN count(*) >>> >>> each count should be equivalent to the # of rows in the file. >>> >>> Michael >>> >>> Am 16.06.2014 um 17:47 schrieb Paul Damian <paulda...@gmail.com>: >>> >>>> Somehow I've managed to load all the nodes and now I'm trying to load the >>>> links as well. I read the nodes from csv file and create the relation >>>> between them. I run the following command: >>>> USING PERIODIC COMMIT 100 >>>> LOAD CSV WITH HEADERS FROM "file:/Users/pauld/Documents/LOCATED_IN.csv" >>>> AS c >>>> MATCH (client: Client { Id: toInt(c.Id)}), (city: City { Id: >>>> toInt(c.CityId)}) >>>> CREATE (client)-[r:LOCATED_IN]->(city) >>>> >>>> Running with a smaller commit size returns this error >>>> Neo.DatabaseError.Statement.ExecutionFailure, while increasing the commit >>>> size to 10000 throws Neo.DatabaseError.General.UnknownFailure. >>>> Can you help me with this? >>>> >>>> >>>> joi, 5 iunie 2014, 12:05:18 UTC+3, Michael Hunger a scris: >>>> Perhaps something with field or line terminators? >>>> >>>> I assume it blows up the field separation. >>>> >>>> Try to run: >>>> >>>> LOAD CSV WITH HEADERS FROM "file:/Users/pauld/Documents/Client.csv" AS c >>>> RETURN { Id: toInt(c.Id), FirstName: c.FirstName, LastName: c.Lastname, >>>> Address: c.Address, ZipCode: toInt(c.ZipCode), Email: c.Email, Phone: >>>> c.Phone, Fax: c.Fax, BusinessName: c.BusinessName, URL: c.URL, Latitude: >>>> toFloat(c.Latitude), Longitude: toFloat(c.Longitude), AgencyId: >>>> toInt(c.AgencyId), RowStatus: toInt(c.RowStatus)} as data, c as line >>>> LIMIT 3 >>>> >>>> >>>> >>>> On Thu, Jun 5, 2014 at 10:51 AM, Paul Damian <paulda...@gmail.com> wrote: >>>> I've tried using the shell and I get the same results: nodes with no >>>> properties. >>>> I've created the csv file using MsSQL Server Export. Is it relevant? >>>> >>>> About you curiosity: I figured I would import first the nodes, then the >>>> relationships from the connection tables. Am I doing it wrong? >>>> >>>> Thanks >>>> >>>> joi, 5 iunie 2014, 09:54:31 UTC+3, Michael Hunger a scris: >>>> I'd probably use a commit size in your case of 50k or 100k. >>>> >>>> Try to use the neo4j-shell and not the web-interface. >>>> >>>> Connect to neo4j using bin/neo4j-shell >>>> >>>> Then run your commands ending with a semicolon. >>>> >>>> Just curious: Your data is imported as one node per row? That's not really >>>> a graph structure. >>>> >>>> >>>> >>>> >>>> On Wed, Jun 4, 2014 at 6:56 PM, Paul Damian <paulda...@gmail.com> wrote: >>>> Hi there, >>>> >>>> I'm experimenting with Neo4j while benchmarking a bunch of NoSQL databases >>>> for my graduation paper. >>>> I'm using the web interface to populate the database. I've been able to >>>> load the smaller tables from my SQL database and LOAD CSV works fine. >>>> By small, I mean a few columns (4-5) and some rows (1 million). However, >>>> when I try to upload a larger table (15 columns, 12 million rows), it >>>> creates the nodes but it doesn't set any properties. >>>> I've tried to reduce the number of records (to 100) and also the number of >>>> columns( just the Id property ), but no luck so far. >>>> >>>> The cypher command used is this one >>>> USING PERIODIC COMMIT 100 >>>> LOAD CSV WITH HEADERS FROM "file:/Users/pauld/Documents/Client.csv" AS c >>>> CREATE (:Client { Id: toInt(c.Id), FirstName: c.FirstName, LastName: >>>> c.Lastname, Address: c.Address, ZipCode: toInt(c.ZipCode), Email: c.Email, >>>> Phone: c.Phone, Fax: c.Fax, BusinessName: c.BusinessName, URL: c.URL, >>>> Latitude: toFloat(c.Latitude), Longitude: toFloat(c.Longitude), AgencyId: >>>> toInt(c.AgencyId), RowStatus: toInt(c.RowStatus)}) >>>> >>>> Any help and indication is welcomed, >>>> Paul >>>> >>>> -- >>>> You received this message because you are subscribed to the Google Groups >>>> "Neo4j" group. >>>> To unsubscribe from this group and stop receiving emails from it, send an >>>> email to neo4j+un...@googlegroups.com. >>>> >>>> For more options, visit https://groups.google.com/d/optout. >>>> >>>> >>>> -- >>>> You received this message because you are subscribed to the Google Groups >>>> "Neo4j" group. >>>> To unsubscribe from this group and stop receiving emails from it, send an >>>> email to neo4j+un...@googlegroups.com. >>>> For more options, visit https://groups.google.com/d/optout. >>>> >>>> >>>> -- >>>> You received this message because you are subscribed to the Google Groups >>>> "Neo4j" group. >>>> To unsubscribe from this group and stop receiving emails from it, send an >>>> email to neo4j+un...@googlegroups.com. >>>> For more options, visit https://groups.google.com/d/optout. >>> >>> >>> -- >>> You received this message because you are subscribed to the Google Groups >>> "Neo4j" group. >>> To unsubscribe from this group and stop receiving emails from it, send an >>> email to neo4j+un...@googlegroups.com. >>> For more options, visit https://groups.google.com/d/optout. >> >> >> -- >> You received this message because you are subscribed to the Google Groups >> "Neo4j" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to neo4j+un...@googlegroups.com. >> For more options, visit https://groups.google.com/d/optout. > > > -- > You received this message because you are subscribed to the Google Groups > "Neo4j" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to neo4j+unsubscr...@googlegroups.com. > For more options, visit https://groups.google.com/d/optout. -- You received this message because you are subscribed to the Google Groups "Neo4j" group. 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