[
https://issues.apache.org/jira/browse/FLINK-1520?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14590603#comment-14590603
]
ASF GitHub Bot commented on FLINK-1520:
---------------------------------------
Github user vasia commented on a diff in the pull request:
https://github.com/apache/flink/pull/847#discussion_r32674930
--- Diff:
flink-staging/flink-gelly/src/main/java/org/apache/flink/graph/GraphCsvReader.java
---
@@ -0,0 +1,388 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.graph;
+import com.google.common.base.Preconditions;
+import org.apache.flink.api.common.functions.MapFunction;
+import org.apache.flink.api.java.DataSet;
+import org.apache.flink.api.java.io.CsvReader;
+import org.apache.flink.api.java.tuple.Tuple2;
+import org.apache.flink.api.java.tuple.Tuple3;
+import org.apache.flink.core.fs.Path;
+import org.apache.flink.api.java.ExecutionEnvironment;
+import org.apache.flink.graph.Graph;
+import org.apache.flink.types.NullValue;
+import org.apache.flink.core.fs.Path;
+
+
+/**
+ * A class to build a Graph using path(s) provided to CSV file(s) with
edge (vertices) data
+ * The class also configures the CSV readers used to read edges(vertices)
data such as the field types,
+ * the delimiters (row and field), the fields that should be included or
skipped, and other flags
+ * such as whether to skip the initial line as the header.
+ * The configuration is done using the functions provided in The {@link
org.apache.flink.api.java.io.CsvReader} class.
+ */
+
+
+
+public class GraphCsvReader{
+
+ private final Path path1,path2;
+ private final ExecutionEnvironment executionContext;
+
+ private Path edgePath;
+ private Path vertexPath;
+ protected CsvReader EdgeReader;
+ protected CsvReader VertexReader;
+ protected MapFunction mapper;
+
+//--------------------------------------------------------------------------------------------------------------------
+
+ public GraphCsvReader(Path path1,Path path2, ExecutionEnvironment
context)
+ {
+ this.path1 = path1;
+ this.path2 = path2;
+ this.VertexReader = new CsvReader(path1,context);
+ this.EdgeReader = new CsvReader(path2,context);
+ this.mapper=null;
+ this.executionContext=context;
+ }
+
+ public GraphCsvReader(Path path2, ExecutionEnvironment context)
+ {
+ this.path1=null;
+ this.path2 = path2;
+ this.EdgeReader = new CsvReader(path2,context);
+ this.VertexReader = null;
+ this.mapper = null;
+ this.executionContext=context;
+ }
+
+ public GraphCsvReader(Path path2,final MapFunction mapper,
ExecutionEnvironment context)
+ {
+ this.path1=null;
+ this.path2 = path2;
+ this.EdgeReader = new CsvReader(path2,context);
+ this.VertexReader = null;
+ this.mapper = mapper;
+ this.executionContext=context;
+ }
+
+ public GraphCsvReader (String path2,ExecutionEnvironment context)
+ {
+ this(new Path(Preconditions.checkNotNull(path2, "The file path
may not be null.")), context);
+
+ }
+
+ public GraphCsvReader(String path1, String path2, ExecutionEnvironment
context)
+ {
+ this(new Path(Preconditions.checkNotNull(path1, "The file path
may not be null.")),new Path(Preconditions.checkNotNull(path2, "The file path
may not be null.")), context);
+ }
+
+
+ public GraphCsvReader (String path2, final MapFunction mapper,
ExecutionEnvironment context)
+ {
+
+ this(new Path(Preconditions.checkNotNull(path2, "The
file path may not be null.")),mapper, context);
+
+
+ }
+
+ public CsvReader getEdgeReader()
+ {
+ return this.EdgeReader;
+ }
+
+ public CsvReader getVertexReader()
+ {
+ return this.VertexReader;
+ }
+
//--------------------------------------------------------------------------------------------------------------------
+
+ /**
+ * Specifies the types for the Graph fields and returns a Graph with
those field types
+ *
+ * This method is overloaded for the case in which Vertices don't have
a value
+ *
+ * @param type0 The type of CSV field 0 and 1 for the CSV reader used
for reading Edge data, the type of CSV field 0 for the CSV reader used for
reading Vertex data and the type of Vetex ID in the returned Graph.
+ * @param type1 The type of CSV field 1 for the CSV reader used for
reading Vertex data and the type of Vertex Value in the returned Graph.
+ * @param type2 The type of CSV field 2 for the CSV reader used for
reading Edge data and the type of Edge Value in the returned Graph.
+ * @return The {@link org.apache.flink.graph.Graph} with Edges and
Vertices extracted from the parsed CSV data.
+ */
+ public <K,VV,EV> Graph<K,VV,EV> types(Class<K> type0, Class<VV> type1,
Class<EV> type2)
+ {
+ DataSet<Tuple3<K,K,EV>> edges =
this.EdgeReader.types(type0,type0,type2);
+ if(path1!=null)
+ {
+ DataSet<Tuple2<K,VV>> vertices =
this.VertexReader.types(type0,type1);
+ return
Graph.fromTupleDataSet(vertices,edges,executionContext);
+ }
+ else
+ {
+ return
Graph.fromTupleDataSet(edges,mapper,executionContext);
+ }
+
+
+ }
+ /**
+ * Specifies the types for the Graph fields and returns a Graph with
those field types
+ *
+ * This method is overloaded for the case in which Vertices don't have
a value
+ *
+ * @param type0 The type of CSV field 0 and 1 for the CSV reader used
for reading Edge data and the type of Vetex ID in the returned Graph.
+ * @param type1 The type of CSV field 2 for the CSV reader used for
reading Edge data and the type of Edge Value in the returned Graph.
+ * @return The {@link org.apache.flink.graph.Graph} with Edge extracted
from the parsed CSV data and Vertices mapped from Edges with null Value.
+ */
+ public <K, EV> Graph<K,NullValue,EV> types(Class<K> type0, Class<EV>
type1)
+ {
+ DataSet<Tuple3<K,K,EV>> edges =
this.EdgeReader.types(type0,type0,type1);
+ return Graph.fromTupleDataSet(edges,executionContext);
+ }
+
+ /**
+ *Configures the Delimiter that separates rows for the CSV readers used
to read the edges and vertices
+ * ({@code '\n'}) is used by default.
+ *
+ *@param delimiter The delimiter that separates the rows.
+ * @return The GraphCsv reader instance itself, to allow for fluent
function chaining.
+ */
+ public GraphCsvReader lineDelimiter(String delimiter)
+ {
+ this.EdgeReader.lineDelimiter(delimiter);
+ this.VertexReader.lineDelimiter(delimiter);
+ return this;
+ }
+
+ /**
+ *Configures the Delimiter that separates fields in a row for the CSV
readers used to read the edges and vertices
+ * ({@code ','}) is used by default.
+ *
+ * @param delimiter The delimiter that separates the fields in a row.
+ * @return The GraphCsv reader instance itself, to allow for fluent
function chaining.
+ */
+ @Deprecated
+ public GraphCsvReader fieldDelimiter(char delimiter)
+ {
+ this.EdgeReader.fieldDelimiter(delimiter);
+ this.VertexReader.fieldDelimiter(delimiter);
+ return this;
+ }
+
+
+ /**
+ *Configures the Delimiter that separates fields in a row for the CSV
readers used to read the edges and vertices
+ * ({@code ','}) is used by default.
+ *
+ * @param delimiter The delimiter that separates the fields in a row.
+ * @return The GraphCsv reader instance itself, to allow for fluent
function chaining.
+ */
+ public GraphCsvReader fieldDelimiter(String delimiter)
+ {
+ this.EdgeReader.fieldDelimiter(delimiter);
+ this.VertexReader.fieldDelimiter(delimiter);
--- End diff --
same
> Read edges and vertices from CSV files
> --------------------------------------
>
> Key: FLINK-1520
> URL: https://issues.apache.org/jira/browse/FLINK-1520
> Project: Flink
> Issue Type: New Feature
> Components: Gelly
> Reporter: Vasia Kalavri
> Assignee: Shivani Ghatge
> Priority: Minor
> Labels: easyfix, newbie
>
> Add methods to create Vertex and Edge Datasets directly from CSV file inputs.
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