tez | lightweight Trainer for PyTorch. It also comes | Machine Learning library

I’m trying to integrate spark(3.1.1) and hive local metastore (3.1.2) to use spark-sql.

i configured the spark-defaults.conf according to https://spark.apache.org/docs/latest/sql-data-sources-hive-tables.html and hive jar files exists in correct path.

but an exception occurred when execute 'spark.sql("show tables").show' like below.

any mistakes, hints, or corrections would be appreciated.

I'm new to Flutter and I have a problem. When I click on TextField and keyboard is shown I get this error and also it's impossible to click button 'Kontynuuj'.

I have been using tez engine to run map reduce jobs. I have a MR job which takes ages to run, because i noticed i have over 20k files with 1 stripe each, and tez does not evenly distributes mappers based on amount of files, rather amount of stripes. And i can have a bunch of mappers with 1 file but a lot of stripes, and some mappers processing 15k files but with same amount of stripes than the other one.

As a workaround test, i used ALTER TALE table PARTITION (...) CONCATENATE in order to bring down the amount of files to process into more evenly distributed stripes per files, and now the map job runs perfectly fine.

My concern is that i didnt find in the documentation if there are any risks in running this command and losing data, since it works on the same files.

Im trying to assess if its better to use concatenate to bring down the amount of files before the MR job versus using bucketing which reads files and drops bucketed output into a separate location. Which in case of failure i dont lose source data.

Concatenate takes 1 minute per partition, versus bucketing taking more time but not risking losing source data.

My question: is there any risk of data loss when running concatenate command?

thanks!

Hi I am very much new to this. I have three columns YEAR, MONTH,DAY in INTEGER format.

I want to load the script and combine YEAR,MONTH,DAY as single column and fetch the maximum.

I tried like,

I have 2 tables in hive. Table A has 300M rows and Table B has 26M rows. I am joining Table A and Table B on 3 columns col1,col2,col3.

Below is the query I am using

create temporary table AB_TEMP AS select A.col1,A.col2,A.col3,A.col4,A.col5 from A join B on A.col1=B.col1 and A.col2=B.col2 and A.col3=B.col3;

I am getting an error called vertex failure every time I run this query.

What to do to overcome this issue?

Below is the error that I am getting

Status: Failed Vertex failed, vertexName=Map 1, vertexId=vertex_1617665530644_1398582_10_01, diagnostics=[Task failed, taskId=task_1617665530644_1398582_10_01_000147, diagnostics=[TaskAttempt 0 failed, info=[AttemptID:attempt_1617665530644_1398582_10_01_000147_0 Timed out after 300 secs], TaskAttempt 1 failed, info=[AttemptID:attempt_1617665530644_1398582_10_01_000147_1 Timed out after 300 secs], TaskAttempt 2 failed, info=[AttemptID:attempt_1617665530644_1398582_10_01_000147_2 Timed out after 300 secs], TaskAttempt 3 failed, info=[Container container_e42_1617665530644_1398582_01_002060 timed out]], Vertex did not succeed due to OWN_TASK_FAILURE, failedTasks:1 killedTasks:220, Vertex vertex_1617665530644_1398582_10_01 [Map 1] killed/failed due to:OWN_TASK_FAILURE] DAG did not succeed due to VERTEX_FAILURE. failedVertices:1 killedVertices:0 FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.tez.TezTask. Vertex failed, vertexName=Map 1, vertexId=vertex_1617665530644_1398582_10_01, diagnostics=[Task failed, taskId=task_1617665530644_1398582_10_01_000147, diagnostics=[TaskAttempt 0 failed, info=[AttemptID:attempt_1617665530644_1398582_10_01_000147_0 Timed out after 300 secs], TaskAttempt 1 failed, info=[AttemptID:attempt_1617665530644_1398582_10_01_000147_1 Timed out after 300 secs], TaskAttempt 2 failed, info=[AttemptID:attempt_1617665530644_1398582_10_01_000147_2 Timed out after 300 secs], TaskAttempt 3 failed, info=[Container container_e42_1617665530644_1398582_01_002060 timed out]], Vertex did not succeed due to OWN_TASK_FAILURE, failedTasks:1 killedTasks:220, Vertex vertex_1617665530644_1398582_10_01 [Map 1] killed/failed due to:OWN_TASK_FAILURE]DAG did not succeed due to VERTEX_FAILURE. failedVertices:1 killedVertices:0

I have Hive + LLAP on HDP 3.1.4

Hive and Tez Config is:

I have one such problem with my website. I have chapters on the page and in each, there are some modules and theories. In theory, I have the function of reading more so that the text is not just exposed. But the problem arises in that when I have a theory with this function on page 2 or more, the first one works for me and the others do not work as they should and track the first one, and it happens that only the first one works. How do I fix or rewrite it?

My code to read more in js:

I have a table with 3 partition columns