graphframes

问题 I am trying to do a pretty simple use case . I have two dataframe - >>> g.vertices.show(20,False) +------------------------+ |id | +------------------------+ |Router_UPDATE_INSERT | |Seq_Unique_Key | |Target_New_Insert | |Target_Existing_Update | |Target_Existing_Insert | |SAMPLE_CUSTOMER | |SAMPLE_CUSTOMER_MASTER | |Sorter_SAMPLE_CUSTOMER | |Sorter_CUSTOMER_MASTER | |Join_Source_Target | |Exp_DetectChanges | |Filter_Unchanged_Records| Details of edges - >>> g.edges.show(20,False) +----------

问题 I am using graphframes in pyspark for some graph type of analytics and wondering what would be the best way to create the edge list data frame from a vertices data frame. For example, below is my vertices data frame. I have a list of ids and they belong to different groups. +---+-----+ |id |group| +---+-----+ |a |1 | |b |2 | |c |1 | |d |2 | |e |3 | |a |3 | |f |1 | +---+-----+ My objective is to create an edge list data frame to indicate ids which appear in common groups. Please note that 1 id

问题 I am using graphframes in pyspark for some graph type of analytics and wondering what would be the best way to create the edge list data frame from a vertices data frame. For example, below is my vertices data frame. I have a list of ids and they belong to different groups. +---+-----+ |id |group| +---+-----+ |a |1 | |b |2 | |c |1 | |d |2 | |e |3 | |a |3 | |f |1 | +---+-----+ My objective is to create an edge list data frame to indicate ids which appear in common groups. Please note that 1 id

问题 I am using graphframes in pyspark for some graph type of analytics and wondering what would be the best way to create the edge list data frame from a vertices data frame. For example, below is my vertices data frame. I have a list of ids and they belong to different groups. +---+-----+ |id |group| +---+-----+ |a |1 | |b |2 | |c |1 | |d |2 | |e |3 | |a |3 | |f |1 | +---+-----+ My objective is to create an edge list data frame to indicate ids which appear in common groups. Please note that 1 id

问题 I've a table containing the following two columns: Device-Id Account-Id d1 a1 d2 a1 d1 a2 d2 a3 d3 a4 d3 a5 d4 a6 d1 a4 Device-Id is the unique Id of the device on which my app is installed and Account-Id is the id of a user account. A user can have multiple devices and can create multiple accounts on the same device(eg. d1 device has a1, a2 and a3 accounts set up). I want to find unique actual users(should be represented as a new column with some unique UUID in the generated table) and the

问题 I've a table containing the following two columns: Device-Id Account-Id d1 a1 d2 a1 d1 a2 d2 a3 d3 a4 d3 a5 d4 a6 d1 a4 Device-Id is the unique Id of the device on which my app is installed and Account-Id is the id of a user account. A user can have multiple devices and can create multiple accounts on the same device(eg. d1 device has a1, a2 and a3 accounts set up). I want to find unique actual users(should be represented as a new column with some unique UUID in the generated table) and the

问题 I've a table containing the following two columns: Device-Id Account-Id d1 a1 d2 a1 d1 a2 d2 a3 d3 a4 d3 a5 d4 a6 d1 a4 Device-Id is the unique Id of the device on which my app is installed and Account-Id is the id of a user account. A user can have multiple devices and can create multiple accounts on the same device(eg. d1 device has a1, a2 and a3 accounts set up). I want to find unique actual users(should be represented as a new column with some unique UUID in the generated table) and the

问题 Suppose that I have created the following graph. My question is how can I visualize it? # Create a Vertex DataFrame with unique ID column "id" v = sqlContext.createDataFrame([ ("a", "Alice", 34), ("b", "Bob", 36), ("c", "Charlie", 30), ], ["id", "name", "age"]) # Create an Edge DataFrame with "src" and "dst" columns e = sqlContext.createDataFrame([ ("a", "b", "friend"), ("b", "c", "follow"), ("c", "b", "follow"), ], ["src", "dst", "relationship"]) # Create a GraphFrame from graphframes import

问题 I'm running a spark job on EMR but need to create a checkpoint. I tried using s3 but got this error message 17/02/24 14:34:35 ERROR ApplicationMaster: User class threw exception: java.lang.IllegalArgumentException: Wrong FS: s3://spark- jobs/checkpoint/31d57e4f-dbd8-4a50-ba60-0ab1d5b7b14d/connected- components-e3210fd6/2, expected: hdfs://ip-172-18-13-18.ec2.internal:8020 java.lang.IllegalArgumentException: Wrong FS: s3://spark- jobs/checkpoint/31d57e4f-dbd8-4a50-ba60-0ab1d5b7b14d/connected-

问题 my input dataframe is df valx valy 1: 600060 09283744 2: 600131 96733110 3: 600194 01700001 and I want to create the graph treating above two columns are edgelist and then my output should have list of all vertices of graph with its membership . I have tried Graphframes in pyspark and networx library too, but not getting desired results My output should look like below (its basically all valx and valy under V1 (as vertices) and their membership info under V2) V1 V2 600060 1 96733110 1