我尝试使用
访问列"accession" "database" "disease" "ec.code" "omics_type" "species"
fileDf.select("\"accession\"","\"database\"","\"connections\"")
但仍然出现错误
root
|-- "accession" "database" "disease" "ec.code" "omics_type" "species" "tissue" "citations.x" "coding.x" "ensembl.x" "go.x" "intact.x" "kegg.compound.x" "kegg.glycan.x" "kegg.pathway.x" "kegg.reaction.x" "metabolights.x" "ncbi.x" "pubchem.compound.x" "pubchem.substance.x" "reactome.x" "reanalysis.x" "rnacentral.x" "sgd.x" "sra.x" "uniprot.x" "ajs.connectivity.score" "citations.y" "coding.y" "ensembl.y" "go.y" "intact.y" "kegg.compound.y" "kegg.glycan.y" "kegg.pathway.y" "kegg.reaction.y" "metabolights.y" "ncbi.y" "pubchem.compound.y" "pubchem.substance.y" "reactome.y" "reanalysis.y" "rnacentral.y" "sgd.y" "sra.y" "uniprot.y" "connections": string (nullable = true)
Exception in thread "main" org.apache.spark.sql.AnalysisException: cannot resolve '`"accession"`' given input columns: ["accession" "database" "disease" "ec.code" "omics_type" "species" "tissue" "citations.x" "coding.x" "ensembl.x" "go.x" "intact.x" "kegg.compound.x" "kegg.glycan.x" "kegg.pathway.x" "kegg.reaction.x" "metabolights.x" "ncbi.x" "pubchem.compound.x" "pubchem.substance.x" "reactome.x" "reanalysis.x" "rnacentral.x" "sgd.x" "sra.x" "uniprot.x" "ajs.connectivity.score" "citations.y" "coding.y" "ensembl.y" "go.y" "intact.y" "kegg.compound.y" "kegg.glycan.y" "kegg.pathway.y" "kegg.reaction.y" "metabolights.y" "ncbi.y" "pubchem.compound.y" "pubchem.substance.y" "reactome.y" "reanalysis.y" "rnacentral.y" "sgd.y" "sra.y" "uniprot.y" "connections"];;
'Project ['"accession", '"database", '"connections"]
+- AnalysisBarrier
+- Relation["accession" "database" "disease" "ec.code" "omics_type" "species" "tissue" "citations.x" "coding.x" "ensembl.x" "go.x" "intact.x" "kegg.compound.x" "kegg.glycan.x" "kegg.pathway.x" "kegg.reaction.x" "metabolights.x" "ncbi.x" "pubchem.compound.x" "pubchem.substance.x" "reactome.x" "reanalysis.x" "rnacentral.x" "sgd.x" "sra.x" "uniprot.x" "ajs.connectivity.score" "citations.y" "coding.y" "ensembl.y" "go.y" "intact.y" "kegg.compound.y" "kegg.glycan.y" "kegg.pathway.y" "kegg.reaction.y" "metabolights.y" "ncbi.y" "pubchem.compound.y" "pubchem.substance.y" "reactome.y" "reanalysis.y" "rnacentral.y" "sgd.y" "sra.y" "uniprot.y" "connections"#10] csv
我该如何选择数据框中带有Spark名称的引号？