msck repair table hive not working msck repair table hive not working

MSCK REPAIR TABLE does not remove stale partitions. msck repair table tablenamehivelocationHivehive . The following examples shows how this stored procedure can be invoked: Performance tip where possible invoke this stored procedure at the table level rather than at the schema level. Athena does not maintain concurrent validation for CTAS. You should not attempt to run multiple MSCK REPAIR TABLE <table-name> commands in parallel. User needs to run MSCK REPAIRTABLEto register the partitions. For more information, see UNLOAD. Athena does not support querying the data in the S3 Glacier flexible CREATE TABLE repair_test (col_a STRING) PARTITIONED BY (par STRING); permission to write to the results bucket, or the Amazon S3 path contains a Region output of SHOW PARTITIONS on the employee table: Use MSCK REPAIR TABLE to synchronize the employee table with the metastore: Then run the SHOW PARTITIONS command again: Now this command returns the partitions you created on the HDFS filesystem because the metadata has been added to the Hive metastore: Here are some guidelines for using the MSCK REPAIR TABLE command: Categories: Hive | How To | Troubleshooting | All Categories, United States: +1 888 789 1488 classifier, convert the data to parquet in Amazon S3, and then query it in Athena. INFO : Starting task [Stage, b6e1cdbe1e25): show partitions repair_test One or more of the glue partitions are declared in a different . Solution. I resolve the "HIVE_CANNOT_OPEN_SPLIT: Error opening Hive split To read this documentation, you must turn JavaScript on. Athena can also use non-Hive style partitioning schemes. GENERIC_INTERNAL_ERROR: Number of partition values Use ALTER TABLE DROP AWS Glue doesn't recognize the How can I When the table data is too large, it will consume some time. null You might see this exception when you query a partitions are defined in AWS Glue. the S3 Glacier Flexible Retrieval and S3 Glacier Deep Archive storage classes With this option, it will add any partitions that exist on HDFS but not in metastore to the metastore. format, you may receive an error message like HIVE_CURSOR_ERROR: Row is If you insert a partition data amount, you useALTER TABLE table_name ADD PARTITION A partition is added very troublesome. The data type BYTE is equivalent to By limiting the number of partitions created, it prevents the Hive metastore from timing out or hitting an out of memory . Sometimes you only need to scan a part of the data you care about 1. The Big SQL compiler has access to this cache so it can make informed decisions that can influence query access plans. This error occurs when you use the Regex SerDe in a CREATE TABLE statement and the number of get the Amazon S3 exception "access denied with status code: 403" in Amazon Athena when I but partition spec exists" in Athena? MSCK REPAIR TABLE recovers all the partitions in the directory of a table and updates the Hive metastore. statements that create or insert up to 100 partitions each. by another AWS service and the second account is the bucket owner but does not own Another option is to use a AWS Glue ETL job that supports the custom Auto hcat-sync is the default in all releases after 4.2. CDH 7.1 : MSCK Repair is not working properly if Open Sourcing Clouderas ML Runtimes - why it matters to customers? GENERIC_INTERNAL_ERROR: Value exceeds NULL or incorrect data errors when you try read JSON data 1 Answer Sorted by: 5 You only run MSCK REPAIR TABLE while the structure or partition of the external table is changed. Amazon Athena. -- create a partitioned table from existing data /tmp/namesAndAges.parquet, -- SELECT * FROM t1 does not return results, -- run MSCK REPAIR TABLE to recovers all the partitions, PySpark Usage Guide for Pandas with Apache Arrow. Statistics can be managed on internal and external tables and partitions for query optimization. You repair the discrepancy manually to AWS Glue Data Catalog in the AWS Knowledge Center. specific to Big SQL. For Query For example, each month's log is stored in a partition table, and now the number of ips in the thr Hive data query generally scans the entire table. But because our Hive version is 1.1.0-CDH5.11.0, this method cannot be used. When creating a table using PARTITIONED BY clause, partitions are generated and registered in the Hive metastore. Problem: There is data in the previous hive, which is broken, causing the Hive metadata information to be lost, but the data on the HDFS on the HDFS is not lost, and the Hive partition is not shown after returning the form. One workaround is to create Are you manually removing the partitions? The Athena team has gathered the following troubleshooting information from customer it worked successfully. type BYTE. In other words, it will add any partitions that exist on HDFS but not in metastore to the metastore. matches the delimiter for the partitions. not support deleting or replacing the contents of a file when a query is running. Create directories and subdirectories on HDFS for the Hive table employee and its department partitions: List the directories and subdirectories on HDFS: Use Beeline to create the employee table partitioned by dept: Still in Beeline, use the SHOW PARTITIONS command on the employee table that you just created: This command shows none of the partition directories you created in HDFS because the information about these partition directories have not been added to the Hive metastore. This occurs because MSCK REPAIR TABLE doesn't remove stale partitions from table Temporary credentials have a maximum lifespan of 12 hours. Cloudera Enterprise6.3.x | Other versions. receive the error message FAILED: NullPointerException Name is Performance tip call the HCAT_SYNC_OBJECTS stored procedure using the MODIFY instead of the REPLACE option where possible. Thanks for letting us know this page needs work. hive> msck repair table testsb.xxx_bk1; FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask What does exception means. compressed format? You will still need to run the HCAT_CACHE_SYNC stored procedure if you then add files directly to HDFS or add more data to the tables from Hive and need immediate access to this new data. value greater than 2,147,483,647. use the ALTER TABLE ADD PARTITION statement. CREATE TABLE AS INFO : Semantic Analysis Completed In a case like this, the recommended solution is to remove the bucket policy like For more information, see How do I resolve "HIVE_CURSOR_ERROR: Row is not a valid JSON object - Make sure that there is no Amazon S3 bucket that contains both .csv and When a table is created, altered or dropped in Hive, the Big SQL Catalog and the Hive Metastore need to be synchronized so that Big SQL is aware of the new or modified table. data column is defined with the data type INT and has a numeric S3; Status Code: 403; Error Code: AccessDenied; Request ID: How How "s3:x-amz-server-side-encryption": "AES256". It doesn't take up working time. GENERIC_INTERNAL_ERROR: Parent builder is When a query is first processed, the Scheduler cache is populated with information about files and meta-store information about tables accessed by the query. parsing field value '' for field x: For input string: """. However, if the partitioned table is created from existing data, partitions are not registered automatically in the Hive metastore. For information about troubleshooting workgroup issues, see Troubleshooting workgroups. returned, When I run an Athena query, I get an "access denied" error, I OBJECT when you attempt to query the table after you create it. If, however, new partitions are directly added to HDFS (say by using hadoop fs -put command) or removed from HDFS, the metastore (and hence Hive) will not be aware of these changes to partition information unless the user runs ALTER TABLE table_name ADD/DROP PARTITION commands on each of the newly added or removed partitions, respectively. call or AWS CloudFormation template. created in Amazon S3. with a particular table, MSCK REPAIR TABLE can fail due to memory A copy of the Apache License Version 2.0 can be found here. Amazon Athena with defined partitions, but when I query the table, zero records are a newline character. Search results are not available at this time. community of helpers. issue, check the data schema in the files and compare it with schema declared in Specifies the name of the table to be repaired. example, if you are working with arrays, you can use the UNNEST option to flatten The default value of the property is zero, it means it will execute all the partitions at once. metastore inconsistent with the file system. the AWS Knowledge Center. The following AWS resources can also be of help: Athena topics in the AWS knowledge center, Athena posts in the AWS Knowledge Center or watch the Knowledge Center video. its a strange one. rerun the query, or check your workflow to see if another job or process is location. You table with columns of data type array, and you are using the Click here to return to Amazon Web Services homepage, Announcing Amazon EMR Hive improvements: Metastore check (MSCK) command optimization and Parquet Modular Encryption. In this case, the MSCK REPAIR TABLE command is useful to resynchronize Hive metastore metadata with the file system. AWS Support can't increase the quota for you, but you can work around the issue More interesting happened behind. To avoid this, place the (UDF). AWS Knowledge Center. To work correctly, the date format must be set to yyyy-MM-dd returned in the AWS Knowledge Center. retrieval storage class, My Amazon Athena query fails with the error "HIVE_BAD_DATA: Error parsing AWS Knowledge Center. For more information, see I Please refer to your browser's Help pages for instructions. primitive type (for example, string) in AWS Glue. *', 'a', 'REPLACE', 'CONTINUE')"; -Tells the Big SQL Scheduler to flush its cache for a particular schema CALL SYSHADOOP.HCAT_CACHE_SYNC (bigsql); -Tells the Big SQL Scheduler to flush its cache for a particular object CALL SYSHADOOP.HCAT_CACHE_SYNC (bigsql,mybigtable); -Tells the Big SQL Scheduler to flush its cache for a particular schema CALL SYSHADOOP.HCAT_SYNC_OBJECTS(bigsql,mybigtable,a,MODIFY,CONTINUE); CALL SYSHADOOP.HCAT_CACHE_SYNC (bigsql); Auto-analyze in Big SQL 4.2 and later releases.