orc | Apache ORC - the smallest , fastest columnar storage

 by   apache HTML Version: v1.7.9 License: Apache-2.0

kandi X-RAY | orc Summary

kandi X-RAY | orc Summary

orc is a HTML library typically used in Big Data, Hadoop applications. orc has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This project includes both a Java library and a C++ library for reading and writing the Optimized Row Columnar (ORC) file format. The C++ and Java libraries are completely independent of each other and will each read all versions of ORC files. But the C++ library only writes the original (Hive 0.11) version of ORC files, and will be extended in the future.
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              orc has a low active ecosystem.
              It has 607 star(s) with 445 fork(s). There are 47 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 18 open issues and 61 have been closed. On average issues are closed in 11 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of orc is v1.7.9

            kandi-Quality Quality

              orc has no bugs reported.

            kandi-Security Security

              orc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              orc is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              orc releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            orc Key Features

            No Key Features are available at this moment for orc.

            orc Examples and Code Snippets

            Returns an orc Castle .
            javadot img1Lines of Code : 4dot img1License : Non-SPDX
            copy iconCopy
            @Override
              public Castle createCastle() {
                return new OrcCastle();
              }  
            Builds an orc castle .
            javadot img2Lines of Code : 4dot img2License : Non-SPDX
            copy iconCopy
            @Override
              public King createKing() {
                return new OrcKing();
              }  
            copy iconCopy
            @Override
              public String toString() {
                return "The orc blacksmith";
              }  

            Community Discussions

            QUESTION

            Why Do I Keep Receiving an Access Violation Exception?
            Asked 2021-Jun-13 at 00:59

            I am currently on the path of learning C++ and this is an example program I wrote for the course I'm taking. I know that there are things in here that probably makes your skin crawl if you're experienced in C/C++, heck the program isn't even finished, but I mainly need to know why I keep receiving this error after I enter my name: Exception thrown at 0x79FE395E (vcruntime140d.dll) in Learn.exe: 0xC0000005: Access violation reading location 0xCCCCCCCC. I know there is something wrong with the constructors and initializations of the member variables of the classes but I cannot pinpoint the problem, even with the debugger. I am running this in Visual Studio and it does initially run, but I realized it does not compile with GCC. Feel free to leave some code suggestions, but my main goal is to figure out the program-breaking issue.

            ...

            ANSWER

            Answered 2021-Jun-13 at 00:59

            QUESTION

            Replace certain words in a 2D array
            Asked 2021-Jun-12 at 18:44

            The method plant() takes a String and a 2D array of String[][] as its inputs. The strings within the array should not be replaced by the inputted word.

            ...

            ANSWER

            Answered 2021-Jun-03 at 10:30

            QUESTION

            Hive: Query executing from hours
            Asked 2021-Jun-08 at 23:08

            I'm try to execute the below hive query on Azure HDInsight cluster but it's taking unprecedented amount of time to finish. Did implemented hive settings but of no use. Below are the details:

            Table

            ...

            ANSWER

            Answered 2021-Jun-07 at 03:19

            if you don't have index on your fk columns , you should add them for sure , here is my suggestion:

            Source https://stackoverflow.com/questions/67864692

            QUESTION

            Complicated Find row in duplicate show which column A or B or C
            Asked 2021-May-28 at 14:28

            Could you please help me for below formula little bit complicated Problem is In a sheet I have three column A,B,C any one column amount if it is same in D column need to highlight and show which column A or B orC.. Example

            ...

            ANSWER

            Answered 2021-May-28 at 13:57

            XLOOKUP unlike VLOOKUP returns a reference to the cell and not just the value of the cell.

            With this in mind =XLOOKUP(D2,A2:C2,A2:C2,NA()) will return the value if it exists as well as the reference.

            If we wrap the Return Array with the Column function it will return the column number.
            =XLOOKUP(D2,A2:C2,COLUMN(A2:C2),NA())

            Add the ADDRESS function to return the cell address (this will return the address on row 1)
            =XLOOKUP(D2,A2:C2,ADDRESS(1,COLUMN(A2:C2),4),NA())

            Now substitute the 1 in the cell address with a blank: =SUBSTITUTE(XLOOKUP(D2,A2:C2,ADDRESS(1,COLUMN(A2:C2),4),NA()),"1","")

            Source https://stackoverflow.com/questions/67739702

            QUESTION

            Python: Avoid Nested loop conditions
            Asked 2021-May-17 at 15:05

            Could someone tell me how can I reduce the nested for loops and if conditions from the below python code, so that it will become less complex. As of now, I am unable to break this code further, hence need help.

            ...

            ANSWER

            Answered 2021-May-17 at 15:05

            Please consider sorting sequences and joining them with itertools.groupby() or just a generator:

            Source https://stackoverflow.com/questions/67571389

            QUESTION

            Load partitioned BigQuery table from partitioned ORC
            Asked 2021-May-10 at 11:56

            I want to create a BigQuery partitioned table by mydate column from partitioned ORC.

            Files in GCS :

            ...

            ANSWER

            Answered 2021-May-10 at 11:56

            I think we can do this by Providing a custom partition key schema encoded via the source_uri_prefix field.

            Using below links and examples [1] & [2] related to Partition Schema detection modes, I think you can do it. [1] https://cloud.google.com/bigquery/docs/hive-partitioned-loads-gcs#command-line-tool [2] https://cloud.google.com/bigquery/docs/hive-partitioned-loads-gcs

            Source https://stackoverflow.com/questions/67467830

            QUESTION

            java.lang.NullPointerException when merging output files
            Asked 2021-Apr-20 at 10:28

            I have a table with 3 partition columns

            ...

            ANSWER

            Answered 2021-Apr-20 at 10:28

            Setting this to false helped.

            Source https://stackoverflow.com/questions/67174776

            QUESTION

            Reading a zst archive in Scala & Spark: native zStandard library not available
            Asked 2021-Apr-18 at 21:25

            I'm trying to read a zst-compressed file using Spark on Scala.

            ...

            ANSWER

            Answered 2021-Apr-18 at 21:25

            Since I didn't want to build Hadoop by myself, inspired by the workaround used here, I've configured Spark to use Hadoop native libraries:

            Source https://stackoverflow.com/questions/67099204

            QUESTION

            Unable to create Managed Hive Table after Hortonworks (HDP) to Cloudera (CDP) migration
            Asked 2021-Apr-17 at 16:36

            We are testing our Hadoop applications as part of migrating from Hortonworks Data Platform (HDP v3.x) to Cloudera Data Platform (CDP) version 7.1. While testing, we found below issue while trying to create Managed Hive Table. Please advise on possible solutions. Thank you!

            Error: Error while compiling statement: FAILED: Execution Error, return code 40000 from org.apache.hadoop.hive.ql.ddl.DDLTask. MetaException(message:A managed table's location should be located within managed warehouse root directory or within its database's managedLocationUri. Table MANAGED_TBL_A's location is not valid:hdfs://cluster/prj/Warehouse/Secure/APP/managed_tbl_a, managed warehouse:hdfs://cluster/warehouse/tablespace/managed/hive) (state=08S01,code=40000)

            DDL Script

            ...

            ANSWER

            Answered 2021-Apr-13 at 11:18

            hive.metastore.warehouse.dir - is a warehouse root directory.

            When you create the database, specify MANAGEDLOCATION - a location root for managed tables and LOCATION - root for external tables.

            MANAGEDLOCATION is within hive.metastore.warehouse.dir

            Setting the metastore.warehouse.tenant.colocation property to true allows a common location for managed tables (MANAGEDLOCATION) outside the warehouse root directory, providing a tenant-based common root for setting quotas and other policies.

            See more details in this manual: Hive managed location.

            Source https://stackoverflow.com/questions/67070435

            QUESTION

            Spark - I cannot increase number of tasks in local mode
            Asked 2021-Apr-12 at 19:02

            I tried to submit my application and change the coalese[k] in my code by different combinations:

            Firstly, I read some data from my local disk:

            ...

            ANSWER

            Answered 2021-Apr-12 at 18:13

            Spark can read a csv file only with one executor as there is only a single file.

            Compared to files which are located in a distributed files system such as HDFS where a single file can be stored in multiple partitions. That means your resulting Dataframe df has only a single partition. You can check that using df.rdd.getNumPartitions. See also my answer on How is a Spark Dataframe partitioned by default?

            Note that coalesce will collapse partitions on the same worker, so calling coalesce(16) will not have any impact at all as the one partition of your Dataframe is anyway located already on a single worker.

            In order to increase parallelism you may want to use repartition(16) instead.

            Source https://stackoverflow.com/questions/67059017

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install orc

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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