Spark Hive Table Not Found

We need to load that on daily basis to Hive. Try Prime Hello, Sign in Account & Lists Sign in Account. The issues described were found on Hortonworks Data Platform 2. Run the following the script to generate a text file from all_objects view. I have a hive external table created on top of a MaprDB. Note that each internal key starts with the prefix rapidminer. 2 for CDH 4 on CentOS. use --hive-database test --hive-table test; instead of --hive-table test. Apache Spark is a lightning-fast cluster (in-memory cluster )computing technology, designed for fast computation. AnalysisException: u'Table not found: XXX' when run on yarn cluster. You can also set other Spark properties which are not listed in the table. For example, the data files are read and processed by an existing program that does not lock the files. engine=spark; Hive on Spark was added in HIVE-7292. In this post we will be discussing how to perform Sentiment Analysis on the tweets from Twitter using Hive. log'] Initially, we do not have metastore_db. Can't create hive table using Zeppelin 0. The Apache Hive ™ data warehouse software facilitates querying and managing large datasets residing in distributed storage. A Hive table is nothing but a bunch of files and folders on HDFS. * An instance of the Spark SQL execution engine that integrates with data stored in Hive. Deleting the table deletes the metadata & data from master-node and HDFS respectively. I am going to show how to split a file store as CSV inside HDFS into multiple Hive tables based on the content of each record. when receiving/processing records via Spark Streaming. 3 of those I wouldn't use to analyze data. Hive on Spark is only tested with a specific version of Spark, so a given version of Hive is only guaranteed to work with a specific version of Spark. val my_df = sqlContext. This chapter describes how to drop a table in Hive. [jira] [Closed] (KYLIN-1813) intermediate table in Hive not cleaned up nichunen (Jira) [jira] [Created] (KYLIN-4189) Prevent abnormal CPU usage by limiting lookup table's rows Temple Zhou (Jira) [GitHub] [kylin] nichunen merged pull request #868: Fix KYLIN-4147 User has project's admin permission but doesn't have permission to see the Storage. bucketing property which is similar to hive. xml spark dossier conf. Since all my clusters have Hive services running on separate nodes than Spark services, I would not know if this is needed in cases when Hive services and Spark services are on the same node. Working with multiple partition formats within a Hive table with Spark Problem statement and why is this interesting. create table patient_data_managed_copy as select patientId from patient_data_managed; WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. sql("select * from taxis limit 5"). ) The instructions here are for Spark 2. This article is about how to use Spark SQL to read the data in the existing Hive. parse at org. Why we are using external table and managed table ? Answer : In hive the table structure will be in metastore and is completely decoupled. • Shark, a backend modified Hive running over Spark. Managed Table data will be lost if we drop the table hence we need to be careful while using drop command. Run the following the script to generate a text file from all_objects view. [this proves your ability to use meta store as a source]. xml, the context automatically creates `metastore_db` // in the current directory and creates a directory configured by `spark. xml to the conf/ directory. This Jira has been LDAP enabled, if you are an ASF Committer, please use your LDAP Credentials to login. Cloudera Manager automatically sets this to the configured MapReduce or YARN service and the configured Spark service. hive table: fail, java. This article is about how to use Spark SQL to read the data in the existing Hive. Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. For tuning suggestions for the thrift server, refer to the blog post How to: Run Queries on Spark SQL using JDBC via Thrift Server. However, pre-compiled Spark assembly package does not support Hive, if you need to use Hive in Spark, you must -Phive, plus the -Phive option can be, as follows:. Hive can also be integrated with data streaming tools such as Spark, Kafka and Flume. If USE_HIVE_STAGING_TABLE is set to false, OLH directly accesses the Hive source data. Once spark has parsed the flume events the data would be stored on hdfs presumably a hive warehouse. Hive Installation must be completed successfully. Answer by Geoffrey Shelton Okot · Sep 02, 2017 at 04:16 AM. 0 now allow us to write to a Vora table from Spark, effectively pushing a Spark DataFrame into a Vora table. After a Parquet table is created by the saveAsTable() function, Spark SQL queries against the table return an empty result set. USE_HIVE_STAGING_TABLE=0 is only possible, if all these conditions are true. 3, with Kafka 0. Partition is a very useful feature of Hive. One is Managed table managed by hive warehouse whenever you create a table data will be copied to internal warehouse. Hive stores the DATA into HDFS and SCHEMA into RDBMS (Derby, SQL, etc. parse at org. The names of the arguments to the case class are read using reflection and become the names of the columns. You can omit the TBLPROPERTIES field. Problem overcome by Apache hive. Based on the results of the Large Table Benchmarks, there are several key observations to note. Spark itself is working fine for anything that doesn't try and use Hive. But Hadoop does not need to be running to use Spark with Hive. 0, I come with the following errors: [[email protected] spark]$. Since spark-submit is launched from a different directory, it is creating a new metastore_db in that directory which does not contain information about your previous tables. Nested JavaBeans and List or Array fields are supported though. This website uses cookies for analytics, personalisation and advertising. Looking to get some help on setting up Spark on an EMR cluster in AWS. Recently we found an issue with use of ANALYZE table queries inside Hive, where analyze command was changing 'LOCATION' property of random partitions in a table to point to another database/table. log'] Initially, we do not have metastore_db. I have a Spark (version 1. Probably you would have visited my below post on ES-Hive Integration. Can anyone guide. I did a bit of Googling and found this " The YARN Container Memory was smaller than the Spark Executor requirement. I have created hive user in MariaDB on EMR and granted all privileges. When possible, Spark transparently converts such Hive tables to DataSource format in order to take advantage of IO performance improvements in Spark SQL. Copy to Hadoop copies data from an Oracle Database table to HDFS, as Oracle Data Pump files. So to avoid shuffle we somehow need to let Spark know that the data is partitioned. it includes a map, array, and struct. xml, core-site. Spark SQL was built to overcome these drawbacks and replace Apache Hive. select data from order_sqoop. A look at SQL-On-Hadoop systems like PolyBase, Hive, Spark SQL in the context Distributed Computing Principles and new Big Data system design approach like the Lambda Architecture. Note that Spark should have been built with Hive support and more details can be found in the SQL programming guide. Since spark-submit is launched from a different directory, it is creating a new metastore_db in that directory which does not contain information about your previous tables. Any problems email [email protected] Hive LOAD Data from Local Directory into a Hive table. Spark SQL was built to overcome these drawbacks and replace Apache Hive. What if you would like to include this data in a Spark ML (machine. enableHiveSupport() 打开功能。. logger=DEBUG,console Use initialization script hive ‐i initialize. 1 have a Hive table for the data in Cluster-1. It then creates Data Pump format files in HDFS that include all the splits, and. The more basic SQLContext provides a subset of the Spark SQL support that does not depend on Hive. Not sure what GIT has to do with anything though. Is there anyone make the query join different data sources work? especially Join hive table with other data sources. For example, assume that a data set has been created from a specific Hive table. found that the sbt package is not installed either. [this proves your ability to use meta store as a source]. Not sure what you're targeting at. [KYLIN-436] - Can't sync Hive table metadata from other database rather than "default" [KYLIN-508] - Too high cardinality is not suitable for dictionary! [KYLIN-509] - Order by on fact table not works correctly [KYLIN-517] - Always delete the last one of Add Lookup page buttom even if deleting the first join condition. If a table with the same name already exists in the database, an exception is thrown. Could you please let me know if there is a. Spark does not depend upon Hadoop because it has its own cluster management, Hadoop is just one of the ways to implement Spark, it uses Hadoop for storage purpose. sh –hadoop 2. com is that flattening out some elements of your schema when migrating a relational model to Hadoop is. A Hive table is nothing but a bunch of files and folders on HDFS. Comparing hive tables with Spark. First I created an EMR cluster (EMR 5. 0 DESCRIBE did not accept backticks (`) surrounding table identifiers, so DESCRIBE could not be used for tables with names that matched reserved keywords (HIVE-2949 and HIVE-6187). Spark SQL - Hive Tables - Tutorialspoint. Hive datasets; Multiple Hadoop clusters; Dynamic AWS EMR clusters; Hadoop multi-user security; Distribution-specific notes. It then creates Data Pump format files in HDFS that include all the splits, and. It can be used for other applications, many of which are under development at Apache. spark sql hive example (3) I've looked into the source code, and found that despite HiveSessionState (in spark-hive), another class HiveConf is also needed to initiate SparkSession. Recently i am working on a project for some data analysis. create a hive meta store database named problem6 and import all tables from mysql retail_db database into hive meta store. The reconciliation rules are:. That means, some very common syntax are not supported by sqlcontext. Table as RDD. In this task you will create a job that runs a Hive script to build an aggregate table, weblogs_agg, using the detailed data found in the Hive weblogs table. Can't create hive table using Zeppelin 0. Using HiveContext, you can create and find tables in the HiveMetaStore and write queries on it using HiveQL. The data flow can be seen as follows: Docker. xml` file in `conf/`. However, pre-compiled Spark assembly package does not support Hive, if you need to use Hive in Spark, you must -Phive, plus the -Phive option can be, as follows:. The new Hive weblogs_agg table will contain a count of page views for each IP address by month and year. We can then create an external table in hive using hive SERDE to analyze this data in hive. 0, and Hive 1. USE_HIVE_STAGING_TABLE=0 is only possible, if all these conditions are true. For all other Hive versions, Azure Databricks recommends that you download the metastore JARs and set the configuration spark. Spark, Hive, and Ganglia. Any datastore that has a JDBC driver can be used as a metastore. Existing BDD data sets are not updated if their Hive source tables are updated. Bucket the data with Hive. 2 can not connect to Hive. You can also create SparkDataFrames from Hive tables. Note, as part of Spark 1. Read to know how to find bad partitions in hive tables. pyspark will launch us into a SparkSession automatically, which we can access from the spark variable and immediately start sending queries to our tables: spark. Spark の分散処理と Hive テーブルのバケット分割を両方利用したいときは何か対策が必要です。 [table “19” not found /]. I assume, that you are running Ubuntu LTS (as I have tested these instructions on Ubuntu 14. Hive Table Creation - Parquet does not support Timestamp Datatype? Encoder found for org. For information on Spark on HDInsight, see Overview: Apache Spark on Azure HDInsight. 1, with Hive metastore configured on Postgres DB, we tried to upgrade Spark to the latest released version 1. Spark SQL UDFs Spark SQL 은 UDF 를 쉽게 등록할 수 있도록 내장 함수를 제공한다. getOrCreate(). Caching Tables In-Memory; Why Spark SQL Came Into Picture? Spark SQL originated as Apache Hive to run on top of Spark and is now integrated with the Spark stack. testOnBorrow=true. Hive datasets; Multiple Hadoop clusters; Dynamic AWS EMR clusters; Hadoop multi-user security; Distribution-specific notes. And HiveConf is not contained in spark-hive*jar, maybe you can find it in hive related jars and put it in your classpath. For all other Hive versions, Azure Databricks recommends that you download the metastore JARs and set the configuration spark. Did you use the Spark SQL node when you say. Spark insert / append a record to RDD / DataFrame ( S3 ) Posted on December 8, 2015 by Neil Rubens In many circumstances, one might want to add data to Spark; e. But I would suggest you to connect Spark to HDFS & perform analytics over the stored data. AtScale recently performed benchmark tests on the Hadoop engines Spark, Impala, Hive, and Presto. Spark SQL was built to overcome these drawbacks and replace Apache Hive. User-Defined Functions SQL 에서 사용할 수 있는 사용자 정의 함수(이하 UDF)를 Python/Scala/Java 모두 지원한다. Using hive shell i am able to retrive the data from MaprDB. java:854)}} on non-existing table. i could see the tables but when i do some changes again in hive like dropping table then Atlas is not capturing. Using CSV files to populate Hive tables. I need to submit a Python process which uses Spark. 知识点3:Spark访问与Hbase关联的Hive表. Spark SQL connects hive using Hive Context and does not support any transactions. Class not found Question by Sergey Sheypak Oct 11, 2017 at 12:54 PM Hive zeppelin spark-sql. If a table with the same name already exists in the database, an exception is thrown. Additionally it was previously generated by the shell script compute-classpath. Env: Below tests are done on Spark 1. The Apache Hive ™ data warehouse software facilitates querying and managing large datasets residing in distributed storage. $ vi download_objects_data. The BeanInfo, obtained using reflection, defines the schema of the table. Note, as part of Spark 1. 6,可CDH中的Hive版本不高,于是独立安装Hive 2. Using override tables ¶ Some configuration fields can directly use variables expansion, but most can’t, especially when they do not store strings. You should not choose the “Pre-built with user-provided Hadoop” packages, as these do not have Hive support, which is needed for advanced SparkSQL features used by DSS. uris 设置,并且conf在classpath中配置正确。 在spark-shell中可以执行hive的功能eclipse中不行,最后发现在eclipse中的SparkSession需要打开hive支持。 通过 SparkSession. - how to load data to Hive tables - how to insert data into Hive tables - how to read data from Hive tables - we will also see how to save data frames to any Hadoop supported file system. Create a table using a data source. Why do we access Hive tables on Spark SQL and convert them into DataFrames? The answer is simple. 13: do not set spark. This website uses cookies for analytics, personalisation and advertising. HDFS datasets in DSS are always true “HDFS datasets”. You cannot dynamically switch between Glue Catalog and a Hive metastore. updating Hive external table with HDFS changes. 2) There will be a slight performance decrease in using `msck repair table` vs `Alter table recover partitions` due to the overhead of sending a call from Hive to ODAS, rather than directly to ODAS. Is it possible to access the hive tables created within Databricks from connect? I'm currently using VS Code and have be able to successfully execute simple applications. I have done lot of research on Hive and Spark SQL. 13: do not set spark. Roberto Congiu's blog Creating Nested data (Parquet) in Spark SQL/Hive from non-nested data you have to use registerRDDAsTable or you'll get a 'table not. Managed Table data will be lost if we drop the table hence we need to be careful while using drop command. She flinched, but turned to him slightly and nodded, bringing her focus back on the empty hallway and forcing herself to calm down. This table acts as a reference to the data stored in Amazon DynamoDB; the data is not stored locally in Hive and any queries using this table run against the live data in DynamoDB, consuming the table's read or write capacity every time a command is run. xml file mentioned in the first step. Hive data source, HDFS is the default storage solution of Hive tables, but Griffin doesn't directly access HDFS yet. Let's take the same previous Hive partition table. create a hive meta store database named problem6 and import all tables from mysql retail_db database into hive meta store. Q: Can I write to a table from two clusters concurrently. We can then create an external table in hive using hive SERDE to analyze this data in hive. My earlier Post on Creating a Hive Table by Reading Elastic Search Index thorugh Hive Queries Let’s see here how to read the Data loaded in a Elastic Search Index through Spark SQL DataFrames and Load the data into a Hive Table. 两种方式创建,内部表和外部表. Existing BDD data sets are not updated if their Hive source tables are updated. Unable to query existing hive table from spark sql 1. DSS and Hadoop. Hive's Limitations Hive is a pure data warehousing database which stores data in the form of tables. To configure Hive to run on Spark do both of the following steps: Configure the Hive client to use the Spark execution engine as described in Hive Execution Engines. For all other Hive versions, Azure Databricks recommends that you download the metastore JARs and set the configuration spark. AnalysisException: u'Table not found: XXX' when run on yarn cluster. The issues described were found on Hortonworks Data Platform 2. 内部表,如果删除hive表,hbase表也会删除;不建议使用这种方式,大多数都是关联进行查询操作. hive (hivedb)> create table innerjoin as select id,name,salary,eid,nickname,bonus from samptab1 join samptab2 on (id=eid); WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. `train`; line 1 pos 14; spark要查找hive中的数据,需要这个配置文件. HiveClient offers safe variants of many methods that do not report exceptions when a relational entity is not found in a Hive package org. For testing, everything is in the default database and it does see that, it just doesn't see any tables inside of it. Introduction to Hive String Function. For managed tables, renaming a table moves the table location; for unmanaged (external) tables, renaming a table does not move the table location. i could see the tables but when i do some changes again in hive like dropping table then Atlas is not capturing. Let's create a ORC table here and feed some sample data in Hive. Tag: hadoop,hive,apache-spark,parquet. Spark SQL connects hive using Hive Context and does not support any transactions. My managed table does not contain any data yet. 两种方式创建,内部表和外部表. **Update: August 4th 2016** Since this original post, MongoDB has released a new certified connector for Spark. You should not choose the “Pre-built with user-provided Hadoop” packages, as these do not have Hive support, which is needed for advanced SparkSQL features used by DSS. According the guidance, I can query phoenix table from beeline-cli, I can load phoenix table as dataframe using Spark-sql. Spark SQL and Impala tend to be faster than. One of the most important pieces of Spark SQL's Hive support is interaction with Hive metastore, which enables Spark SQL to access metadata of Hive tables. In streaming mode, Griffin leverages HDFS as the temporary storage solution, which could be replaced by some other storage. Hi Zhan Zhang, With the pre-bulit version 1. getOrCreate(). Could you please let me know if there is a. The EXTERNAL keyword tells Hive this table is external and the LOCATION … clause is required to tell Hive where it’s located. A quick fix would be to start the Hive server from the same directory as spark-submit and re-create your tables. TEMPORARY The created table will be available only in this session and will not be persisted to the underlying metastore, if any. The issue is caused by the "path" property of the table not being written to the Hive metastore during the saveAsTable() call. Yes it is relatively very easy to add a column and index that column in Cassandra. So Hive queries can be run against this data. Additional features include the ability to write queries using the more complete HiveQL parser, access to Hive UDFs, and the. 错误 ctiverRecord的特点是通过一系列的配置,实体类也具有操作CRUD的功能 使用Mybatisplus activerecord功能,需要进行如下配置: 1. Show Create Table Output Truncated for VIEW in Hive Eric Lin Big Data December 16, 2017 December 16, 2017 Recently I was dealing with an issue that after user upgraded CDH to 5. xml, the context automatically creates `metastore_db` // in the current directory and creates a directory configured by `spark. Hive supports different data types that are not found in other database systems. Partition is a very useful feature of Hive. The data flow can be seen as follows: Docker. [this proves your ability to use meta store as a source]. spark sql hive example (3) I've looked into the source code, and found that despite HiveSessionState (in spark-hive), another class HiveConf is also needed to initiate SparkSession. Prior to Hive 0. // When not configured by the hive-site. The steps above are to configure Hive and Spark SQL so that they can work together. This Jira has been LDAP enabled, if you are an ASF Committer, please use your LDAP Credentials to login. However, when running it on YARN-Cluster mode none of my Hive tables can be found by the application. If you have both PolyBase and Hadoop/Spark it is not an either/or question. AnalysisException: Table or view not found: `traintext`. The Spark SQL implementation is almost fully compatible with Spark SQL except some tweaky cases. engine=spark; Hive on Spark was added in HIVE-7292. The one in SQL context is only suggested if the Hive dependencies conflict. That means, some very common syntax are not supported by sqlcontext. Yes, you have it. For information on Spark on HDInsight, see Overview: Apache Spark on Azure HDInsight. You can access traditional text files in Hadoop, as well as the ORC tables in Hive (or delimitedtext tables). This article is about how to use Spark SQL to read the data in the existing Hive. Esoteric Hive Features. AnalysisException: u"Hive support is required to CREATE Hive TABLE (AS SELECT);; 'CreateTable `testdb`. Fixed an issue in Hive where CREATE TABLE AS SELECT makes excessive list calls to Amazon S3. parse at org. I’m Vithal, a techie by profession, passionate blogger, frequent traveler, Beer lover and many more. SerDes for certain common formats are distributed by AWS Glue. DROP TABLE [IF EXISTS] [db_name. xml and didn't find code. I am getting table not found exception. engine=spark; Below is the stack trace from Hive Shell: hive (ravi_practice)> CREATE TABLE widgets_avro ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘,’ STORED AS AVRO AS select * fr. One of the metric persist solution, it's just an implementation, not necessary. The Spark activity in a Data Factory pipeline executes a Spark program on your own or on-demand HDInsight cluster. This process needs to access Hive tables, but is unable to find them. The HDFS file system is not restricted to MapReduce jobs. Using CSV files to populate Hive tables. Also make sure you have hive-site. Additionally it was previously generated by the shell script compute-classpath. Welcome to the fourth chapter of the Apache Spark and Scala tutorial (part of the Apache Spark and Scala course). xml,core-site. You can omit the TBLPROPERTIES field. Note that integration between Spark and Kafka is provided by a library which is developed as part of the Spark project, but not “embedded” in the standard spark libs. Instead, we went a step further: Remove the two temporary tables and combine all three Hive stages into a single Spark job that reads 60 TB of compressed data and performs a 90 TB shuffle and sort. I still do not understand why hive execution version is not getting picked up from spark config as spark config is clearly saying hive version os 1. throws Table or view not found in database exeception if not found. functions import * from pyspark. The EXTERNAL keyword tells Hive this table is external and the LOCATION … clause is required to tell Hive where it’s located. Configuring the SAP HANA Spark Controller to Connect to SAP HANA Vora Tables. TEMPORARY The created table will be available only in this session and will not be persisted to the underlying metastore, if any. Hive Compatibility − Run unmodified Hive queries on existing warehouses. pyspark will launch us into a SparkSession automatically, which we can access from the spark variable and immediately start sending queries to our tables: spark. It can be used like %hive(${prefix}). I am not sure whether hive compatibility is causing the issue or not as we are able to run jobs in yarn-client mode successfully. spark依赖hive的方式是直接反射调用,由于hive1. for spark app, remove unnecessary variables and tune the GC. This table acts as a reference to the data stored in Amazon DynamoDB; the data is not stored locally in Hive and any queries using this table run against the live data in DynamoDB, consuming the table's read or write capacity every time a command is run. throws Table or view not found in database exeception if not found. Based on the results of the Large Table Benchmarks, there are several key observations to note. (4 replies) Hi, Spark does not support transactions because as I understand there is a piece in the execution side that needs to send heartbeats to Hive metastore saying a transaction is still alive". In this post I'm going to examine the ORC writing performance of these two engines plus Hive and see which can convert CSV files into ORC files the fastest. I am trying to execute following example. It can be done with partitioning on hive tables or without partitioning also. test; 60000 millis timeout while waiting for channel to be ready for read. The HDFS file system is not restricted to MapReduce jobs. spark sql hive example (3) I've looked into the source code, and found that despite HiveSessionState (in spark-hive), another class HiveConf is also needed to initiate SparkSession. – Limited integration with Spark – Hive optimizer not designed for Spark • Spark SQL reuses parts of Shark, – Hive data loading – In-memory column store • Spark SQL also adds – RDD-aware optimizer – Rich language interfaces 35. Sometime Scala on Spark cheatsheet. Message view « Date » · « Thread » Top « Date » · « Thread » From: [email protected] I can easily reproduce the issue by opening Spark shell and trying to query a table. 3 of those I wouldn't use to analyze data. Hive is not an option for unstructured data. However, Hive table is more complex than a HDFS file. Spark itself is working fine for anything that doesn't try and use Hive. But I would say, unless you need other Spark-based components after querying sqlcontext, just keep it simple to use hive directly. A local table is not accessible from other clusters and is not registered in the Hive metastore. 2-virtualbox and I am trying to debug spark-hive program using eclipse. Hive stores the DATA into HDFS and SCHEMA into RDBMS (Derby, SQL, etc. Learn how to use Apache Beeline to run Apache Hive queries on HDInsight. LazySimpleSerDe, ErrorIfExists\n" It seems the job is not able to get the Hive context. Spark SQL was built to overcome these drawbacks and replace Apache Hive. Note that Spark should have been built with Hive support and more details can be found in the SQL programming guide. If that Hive table is updated with new data, the associated BDD data set is not changed. Re: Spark SQL, Hive & Parquet data types > > > 1. Spark SQL queries not running with the correct user id, Hive DoAs. Caching Tables In-Memory; Why Spark SQL Came Into Picture? Spark SQL originated as Apache Hive to run on top of Spark and is now integrated with the Spark stack. Answer by Geoffrey Shelton Okot · Sep 02, 2017 at 04:16 AM. Hi, the new spark was not setting the hive warehouse directory correctly. spark依赖hive的方式是直接反射调用,由于hive1. Hive supports different data types that are not found in other database systems. Apache Spark is a lightning-fast cluster (in-memory cluster )computing technology, designed for fast computation. orders_avro in hive stored as avro, the table should have same table definition as order_sqoop. Its been some time since my last post but am excited to be sharing about my learnings and adventures with Big Data and Data Analytics. Managed Table data will be lost if we drop the table hence we need to be careful while using drop command. Additional features include the ability to write queries using the more complete HiveQL parser, access to Hive UDFs, and the. In this post I'm going to examine the ORC writing performance of these two engines plus Hive and see which can convert CSV files into ORC files the fastest. This chapter describes how to drop a table in Hive. Recently I had the opportunity to do some simple Twitter sentiment analytics using a combination of HDFS, Hive, Flume and Spark and wanted to share how it was done. I am getting table not found exception. Nevertheless, Hive still has a strong. You can also save the dataframe as table in hive metastore using. Drop table if exists raises "table not found" exception in HiveContext Table not found some_table org. xml loaded?. I still do not understand why hive execution version is not getting picked up from spark config as spark config is clearly saying hive version os 1. Usage: Data is used outside of Hive. That sounds like a problem.