udf

Apache Spark - UDF doesn't seem to work with spark-submit

久未见 提交于 2019-12-13 14:32:23
问题 I am unable to get UDF to work with spark-submit. I don't have any problem while using spark-shell. Please see below, the Error message, sample code, build.sbt and the command to run the program Will appreciate all the help! - Regards, Venki ERROR message: (line 20 is where the UDF is defined) Exception in thread "main" java.lang.NoSuchMethodError: scala.reflect.api.JavaUniverse.runtimeMirror(Ljava/lang/ClassLoader;) Lscala/reflect/api/JavaUniverse$JavaMirror; at TryUDFApp$.main(TryUDFApp

No typeTag available Error in scala spark udf

寵の児 提交于 2019-12-13 14:03:31
问题 I am getting no typetag found for Seq[String] while compiling the following code val post_event_list_evar_lookup: (String => Seq[String]) = (pel: String) => { pel.split(",").filterNot(_.contains("=")).map(ev => { evarMapBroadCast.value.getOrElse(ev.toInt, "NotAnEvar").toLowerCase }).filterNot(_.contains("notanevar")) } val sqlFunc_post_event_list_evar_lookup = udf(post_event_list_evar_lookup) Error message I am getting is I am using scala 2.10.4. Same code compiles with out any error in scala

如何在 PyFlink 1.10 中自定义 Python UDF?

余生长醉 提交于 2019-12-13 11:10:54
【推荐】2019 Java 开发者跳槽指南.pdf(吐血整理) >>> 作者:孙金城(金竹) 我们知道 PyFlink 是在 Apache Flink 1.9 版新增的,那么在 Apache Flink 1.10 中 Python UDF 功能支持的速度是否能够满足用户的急切需求呢? Python UDF 的发展趋势 直观的判断,PyFlink Python UDF 的功能也可以如上图一样能够迅速从幼苗变成大树,为啥有此判断,请继续往下看… Flink on Beam 我们都知道有 Beam on Flink 的场景,就是 Beam 支持多种 Runner,也就是说 Beam SDK 编写的 Job 可以运行在 Flink 之上。如下图所示: 上面这图是 Beam Portability Framework 的架构图,他描述了 Beam 如何支持多语言,如何支持多 Runner,单独说 Apache Flink 的时候我们就可以说是 Beam on Flink,那么怎么解释 Flink on Beam 呢? 在 Apache Flink 1.10 中我们所说的 Flink on Beam 更精确的说是 PyFlink on Beam Portability Framework。我们看一下简单的架构图,如下: Beam Portability Framework

A GenericUDF Function to Extract a Field From an Array of Structs‏

孤街浪徒 提交于 2019-12-13 00:45:24
问题 I am trying to write a GenericUDF function to collect all of a specific struct field(s) within an array for each record, and return them in an array as well. I wrote the GenericUDF (as below), and it seems to work but: 1) It does not work when I am performing this on an external table, it works fine on a managed table, any idea? 2) I am having a tough time writing a test on this. I have attached the test I have so far, and it does not work, always getting 'java.util.ArrayList cannot be cast

How to create UDF from Scala methods (to compute md5)?

那年仲夏 提交于 2019-12-12 12:09:52
问题 I would like to build one UDF from two already working functions. I'm trying to calculate a md5 hash as a new column to an existing Spark Dataframe. def md5(s: String): String = { toHex(MessageDigest.getInstance("MD5").digest(s.getBytes("UTF-8")))} def toHex(bytes: Array[Byte]): String = bytes.map("%02x".format(_)).mkString("") Structure (what i have so far) val md5_hash: // UDF Implementation val sqlfunc = udf(md5_hash) val new_df = load_df.withColumn("New_MD5_Column", sqlfunc(col("Duration"

java udf for adding columns

别说谁变了你拦得住时间么 提交于 2019-12-12 06:09:44
问题 i am writing java udf function to add the pincode by comparing the locality column.here is my code. import java.io.IOException; import org.apache.pig.EvalFunc; import org.apache.pig.data.Tuple; import org.apache.commons.lang3.StringUtils; public class MB_pincodechennai extends EvalFunc<String> { private String pincode(String input) { String property_pincode = null; String[] items = new String[]{"600088", "600016", "600053", "600070", "600040", "600106", "632301", "600109", "600083", "600054",

UDF(Java): permission denied at HDFS

不问归期 提交于 2019-12-12 05:16:48
问题 I write an hive-UDTF to resolve ip address via loading a .dat file on HDFS,but meet an error: java.io.FileNotFoundException: hdfs:/THE_IP_ADDRESS:9000/tmp/ip_20170204.dat (Permission denied) But actually, both the dfs directory /tmp and the .data file have full access: 777 , and I cannot modify the config to disable dfs permission. The line in my UDTF to read the file: IP.load("hdfs://THE_IP_ADDRESS:9000/tmp/ip_20170204.dat"); and the static method .load() : public static void load(String

Error while setting UDF description in VBA

孤街浪徒 提交于 2019-12-12 04:36:09
问题 I am trying to Make a description for my user defined functions. I had no problem using this code: Sub RegisterUDF23() Dim FD As String FD = "Find the CN value based on landuse and soil type" & vbLf _ & "CNLookup(Landuse As Integer, SoilType As String) As Integer" Application.MacroOptions macro:="CNLookup", Description:=FD, Category:=14 _ , ArgumentDescriptions:=Array( _ "Integer: (1 to 7)", "String: ""A"", ""B"", ""C"", ""D"" ") End Sub But When I moved to 24th function and wanted to do the

How to Call SQLite User Defined Function with C# LINQ Query

只谈情不闲聊 提交于 2019-12-12 03:44:35
问题 With SQLite and C#, has anyone tried calling a UDF within a LINQ query? Searching online, I found this about creating a UDF function in C# http://www.ivankristianto.com/howto-make-user-defined-function-in-sqlite-ado-net-with-csharp/ As for calling a function in LINQ to Entities, I have the solution here Calling DB Function with Entity Framework 6 Here's what I got so far. I create my database model and linq to SQLite. I add this into the database model file: <Function Name="fn

Native Impala UDF (Cpp) randomly gives result as NULL for same inputs in the same table for multiple invocations in same query

烈酒焚心 提交于 2019-12-11 19:23:21
问题 I have a Native Impala UDF (Cpp) with two functions Both functions are complimentary to each other. String myUDF(BigInt) BigInt myUDFReverso(String) myUDF("myInput") gives some output which when myUDFReverso(myUDF("myInput")) should give back myInput When I run a impala query on a parquet table like this, select column1,myUDF(column1),length(myUDF(column1)),myUDFreverso(myUDF(column1)) from my_parquet_table order by column1 LIMIT 10; The output is NULL at random. The output is say at 1st run