bigdata

I've been trying to get the Apache Beam Portability Framework to work with Python and Apache Flink and I can't seem to find a complete set of instructions to get the environment working. Are there any references with complete list of prerequisites and steps to get a simple python pipeline working? Overall, for local portable runner (ULR), see the wiki , quote from there: Run a Python-SDK Pipeline: Compile container as a local build: ./gradlew :beam-sdks-python-container:docker Start ULR job server, for example: ./gradlew :beam-runners-reference-job-server:run -PlogLevel=debug -PvendorLogLevel

I'm trying to learn and use the GAS API to implement a Random Walk over my database, associating every visited vertex to the starting vertex. I'm having some issues understanding how I can manage to do this; I've been reviewing the PATHS, BFS, PR, and other GAS classes as examples, but I'm not quite sure how to start. I think my implementation should extend BaseGASProgram and implement the needed methods. Also, as iterative, the frontier contains all the vertexes of the current iteration. The concept of predecessor is also clear to me. But I don't think that I understand very well the Gather,

I just installed HDFS and launched the service, and there is already more than 800MB of used space. What does it represent ? $ hdfs dfs -df -h Filesystem Size Used Available Use% hdfs://quickstart.cloudera:8020 54.5 G 823.7 M 43.4 G 1% 来源： https://stackoverflow.com/questions/43165646/hdfs-space-usage-on-fresh-install

I've got a neo4j graph with the following structure. (Account) ---[Transaction]--- (Account) Transaction is a neo4j relationship and Account is a node. There are set various properties on each transaction, such as the transaction ID, amount, date, and various other banking information. I can run a search by Account id, and it returns fine. However when I search by transaction ID, neo4J searches the entire graph instead of using index, and the search fails. I created indexes using org.neo4j.unsafe.batchinsert.BatchInserterImpl.createDeferredSchemaIndex() for both Account.number and Transaction

In a data flow from one table to another, I would like to cast a date. The date leaves the source table as a string in this format: "2009-01-05 00:00:00:000 + 01:00". I tried to convert this to a date using a tConvertType, but that is not allowed apparently. My second option is to cast this string to a date using a formula in a tMap component. At the moment I tried these formulas: - TalendDate.formatDate("yyyy-MM-dd",row3.rafw_dz_begi); - TalendDate.formatDate("yyyy-MM-dd HH:mm:ss",row3.rafw_dz_begi); - return TalendDate.formatDate("yyyy-MM-dd HH:mm:ss",row3.rafw_dz_begi); None of these worked

I want to get the current date as YYMMDD and then set it to variable in order to use it as table name. Here is my code: set dates= date +%Y-%m-%d; CREATE EXTERNAL TABLE IF NOT EXISTS dates( id STRING, region STRING, city STRING) But this method doesn't work, because it seems the assignments are wrong. Any idea? Hive does not calculate variables, it substitutes them as is, in your case it will be exactly this string ' date +%Y-%m-%d '. Also it is not possible to use UDF like current_date() in place of table name in DDL. The solution is to calculate variable in the shell and pass it to Hive: In

I'm trying to graph a huge data set (about 1.6 million points) using Kendo UI. This number is too large, but I have figured out that many of these points are repeating. The data is currently stored in this format: [ [x,y], [x,y], [x,y]...] with each x and y being a number, thus each subarray is a point. The approach I have in mind is to create a second empty array, and then loop through the very long original array, and only push each point to the new one if it isn't already found there. I tried to use jQuery.inArray(), but it does not seem to work with the 2D array I have here. I currently