I don't understand.
Michael
Am 18.06.2014 um 10:11 schrieb Pavan Kumar <kumar.pavan...@gmail.com>:
> When i use create statements, it is not considering the empty fileds from
> the CSV file. So used Merge command
>
>
> On Wed, Jun 18, 2014 at 1:09 PM, Michael Hunger
> <michael.hun...@neotechnology.com> wrote:
> And create the indexes for all those node + property
>
> And for operations like this:
>
> MERGE (uniprotid:Uniprotid{uniprotid: csvimport.ID, Name:csvimport.Name,
> Uniprot_title: csvimport.Uniprot_Title}
>
> please use a constraint:
>
> create constraint on (uniprotid:Uniprotid) assert uniprotid.uniprotid is
> unique;
>
> and the merge operation like this, so it can actually leverage the
> index/constraint.
>
>> MERGE (uniprotid:Uniprotid{uniprotid: csvimport.ID}) ON CREATE SET
>> uniprotid.Name=csvimport.Name,uniprotid.Uniprot_title=csvimport.Uniprot_Title
> ...
>
> Am 18.06.2014 um 09:18 schrieb Pavan Kumar <kumar.pavan...@gmail.com>:
>
>> My query looks like following
>> USING PERIODIC COMMIT 1000
>> LOAD CSV WITH HEADERS FROM
>> "file:D:/Graph_Database/DrugBank_database/DrugbankFull_Database.csv"
>> AS csvimport
>> merge (uniprotid:Uniprotid{uniprotid: csvimport.ID, Name:csvimport.Name,
>> Uniprot_title: csvimport.Uniprot_Title})
>> merge (genename:Gene_Name{genename: csvimport.Gene_Name})
>> merge (Genbank_prtn:GenBank_Protein{GenBank_protein_id:
>> csvimport.GenBank_Protein_ID})
>> merge (Genbank_gene:GenBank_Gene{GenBank_gene_id: csvimport.GenBank_Gene_ID})
>> merge (pdbid:PDBID{PDBid: csvimport.PDB_ID})
>> merge (geneatlas:Geneatlasid{Geneatlas: csvimport.GenAtlas_ID})
>> merge (HGNC:HGNCid{hgnc: csvimport.HGNC_ID})
>> merge (species:Species{Species: csvimport.Species})
>> merge (genecard:Genecardid{Genecard: csvimport.GeneCard_ID})
>> merge (drugid:DrugID{DrugID: csvimport.Drug_IDs})
>> merge (uniprotid)-[:Genename]->(genename)
>> merge (uniprotid)-[:GenBank_ProteinID]->(Genbank_prtn)
>> merge (uniprotid)-[:GenBank_GeneID]->(Genbank_gene)
>> merge (uniprotid)-[:PDBID]->(pdbid)
>> merge (uniprotid)-[:GeneatlasID]->(geneatlas)
>> merge (uniprotid)-[:HGNCID]->(HGNC)
>> merge (uniprotid)-[:Species]->(species)
>> merge (uniprotid)-[:GenecardID]->(genecard)
>> merge (uniprotid)-[:DrugID]->(drugid)
>>
>> I am attaching sample csv file also. Please find it.
>> As suggested, I will try with new version of neo4j
>>
>>
>> On Wed, Jun 18, 2014 at 12:41 PM, Michael Hunger
>> <michael.hun...@neotechnology.com> wrote:
>> What does your query look like?
>> Please switch to Neo4j 2.1.2
>>
>> And create indexes / constraints for the nodes you're inserting with MERGE
>> or looking up via MATCH.
>>
>> Michael
>>
>> Am 18.06.2014 um 08:46 schrieb Pavan Kumar <kumar.pavan...@gmail.com>:
>>
>>> Hi,
>>> I have deployed neo4j 2.1.0-M01 on windows which has 8GB RAM. I am trying
>>> to import CSV file which has 30000 records. I am using USING PERIODIC
>>> COMMIT 1000 LOAD CSV command for importing, but it gives unknown error. I
>>> have modified neo4j.properties file as adviced in the blogs. My
>>> neo4j.properties now looks like
>>> # Default values for the low-level graph engine
>>>
>>> neostore.nodestore.db.mapped_memory=200M
>>> neostore.relationshipstore.db.mapped_memory=4G
>>> neostore.propertystore.db.mapped_memory=500M
>>> neostore.propertystore.db.strings.mapped_memory=500M
>>> neostore.propertystore.db.arrays.mapped_memory=500M
>>>
>>> # Enable this to be able to upgrade a store from an older version
>>> allow_store_upgrade=true
>>>
>>> # Enable this to specify a parser other than the default one.
>>> #cypher_parser_version=2.0
>>>
>>> # Keep logical logs, helps debugging but uses more disk space, enabled for
>>> # legacy reasons To limit space needed to store historical logs use values
>>> such
>>> # as: "7 days" or "100M size" instead of "true"
>>> keep_logical_logs=true
>>>
>>> # Autoindexing
>>>
>>> # Enable auto-indexing for nodes, default is false
>>> node_auto_indexing=true
>>>
>>> # The node property keys to be auto-indexed, if enabled
>>> #node_keys_indexable=name,age
>>>
>>> # Enable auto-indexing for relationships, default is false
>>> relationship_auto_indexing=true
>>>
>>> # The relationship property keys to be auto-indexed, if enabled
>>> #relationship_keys_indexable=name,age
>>>
>>> # Setting for Community Edition:
>>> cache_type=weak
>>>
>>> Still i am facing the same problem. Is there any other file to change
>>> properties. Kindly help me in this issue.
>>> Thanks in advance
>>>
>>> On Tuesday, 4 March 2014 21:24:03 UTC+5:30, Aram Chung wrote:
>>> Hi,
>>>
>>> I was asked to post this here by Mark Needham (@markhneedham) who thought
>>> my query took longer than it should.
>>>
>>> I'm trying to see how graph databases could be used in investigative
>>> journalism: I was loading in New York State's Active Corporations:
>>> Beginning 1800 data from
>>> https://data.ny.gov/Economic-Development/Active-Corporations-Beginning-1800/n9v6-gdp6
>>> as a 1964486-row csv (and deleted all U+F8FF characters, because I was
>>> getting "[null] is not a supported property value"). The Cypher query I
>>> used was
>>>
>>> USING PERIODIC COMMIT 500
>>> LOAD CSV
>>> FROM
>>> "file://path/to/csv/Active_Corporations___Beginning_1800__without_header__wonky_characters_fixed.csv"
>>> AS company
>>> CREATE (:DataActiveCorporations
>>> {
>>> DOS_ID:company[0],
>>> Current_Entity_Name:company[1],
>>> Initial_DOS_Filing_Date:company[2],
>>> County:company[3],
>>> Jurisdiction:company[4],
>>> Entity_Type:company[5],
>>>
>>> DOS_Process_Name:company[6],
>>> DOS_Process_Address_1:company[7],
>>> DOS_Process_Address_2:company[8],
>>> DOS_Process_City:company[9],
>>> DOS_Process_State:company[10],
>>> DOS_Process_Zip:company[11],
>>>
>>> CEO_Name:company[12],
>>> CEO_Address_1:company[13],
>>> CEO_Address_2:company[14],
>>> CEO_City:company[15],
>>> CEO_State:company[16],
>>> CEO_Zip:company[17],
>>>
>>> Registered_Agent_Name:company[18],
>>> Registered_Agent_Address_1:company[19],
>>> Registered_Agent_Address_2:company[20],
>>> Registered_Agent_City:company[21],
>>> Registered_Agent_State:company[22],
>>> Registered_Agent_Zip:company[23],
>>>
>>> Location_Name:company[24],
>>> Location_Address_1:company[25],
>>> Location_Address_2:company[26],
>>> Location_City:company[27],
>>> Location_State:company[28],
>>> Location_Zip:company[29]
>>> }
>>> );
>>>
>>> Each row is one node so it's as close to the raw data as possible. The idea
>>> is loosely that these nodes will be linked with new nodes representing
>>> people and addresses verified by reporters.
>>>
>>> This is what I got:
>>>
>>> +-------------------+
>>> | No data returned. |
>>> +-------------------+
>>> Nodes created: 1964486
>>> Properties set: 58934580
>>> Labels added: 1964486
>>> 4550855 ms
>>>
>>> Some context information:
>>> Neo4j Milestone Release 2.1.0-M01
>>> Windows 7
>>> java version "1.7.0_03"
>>>
>>> Best,
>>> Aram
>>>
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>>
>>
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>>
>>
>> --
>> Thanks & Regards,
>> Pavan Kumar
>> Project Engineer
>> CDAC -KP
>> Ph +91-7676367646
>>
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>> <SAmple_Drugbank.xls>
>
>
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>
>
> --
> Thanks & Regards,
> Pavan Kumar
> Project Engineer
> CDAC -KP
> Ph +91-7676367646
>
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