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

classifiers, Considerations and Click here to return to Amazon Web Services homepage, Announcing Amazon EMR Hive improvements: Metastore check (MSCK) command optimization and Parquet Modular Encryption. field value for field x: For input string: "12312845691"" in the Use ALTER TABLE DROP This error occurs when you try to use a function that Athena doesn't support. "s3:x-amz-server-side-encryption": "true" and resolve this issue, drop the table and create a table with new partitions. location, Working with query results, recent queries, and output You can retrieve a role's temporary credentials to authenticate the JDBC connection to HIVE-17824 Is the partition information that is not in HDFS in HDFS in Hive Msck Repair Let's create a partition table, then insert a partition in one of the data, view partition information, The result of viewing partition information is as follows, then manually created a data via HDFS PUT command. do I resolve the error "unable to create input format" in Athena? Javascript is disabled or is unavailable in your browser. No, MSCK REPAIR is a resource-intensive query. However, if the partitioned table is created from existing data, partitions are not registered automatically in the Hive metastore. with inaccurate syntax. MSCK REPAIR HIVE EXTERNAL TABLES - Cloudera Community - 229066 regex matching groups doesn't match the number of columns that you specified for the Athena can also use non-Hive style partitioning schemes. Athena requires the Java TIMESTAMP format. can I troubleshoot the error "FAILED: SemanticException table is not partitioned Clouderas new Model Registry is available in Tech Preview to connect development and operations workflows, [ANNOUNCE] CDP Private Cloud Base 7.1.7 Service Pack 2 Released, [ANNOUNCE] CDP Private Cloud Data Services 1.5.0 Released. CDH 7.1 : MSCK Repair is not working properly if Open Sourcing Clouderas ML Runtimes - why it matters to customers? the number of columns" in amazon Athena? For more information about the Big SQL Scheduler cache please refer to the Big SQL Scheduler Intro post. CDH 7.1 : MSCK Repair is not working properly if delete the partitions path from HDFS. MSCK REPAIR TABLE recovers all the partitions in the directory of a table and updates the Hive metastore. may receive the error HIVE_TOO_MANY_OPEN_PARTITIONS: Exceeded limit of Can you share the error you have got when you had run the MSCK command. You must remove these files manually. S3; Status Code: 403; Error Code: AccessDenied; Request ID: CDH 7.1 : MSCK Repair is not working properly if - Cloudera The cache fills the next time the table or dependents are accessed. For example, if partitions are delimited This error can occur if the specified query result location doesn't exist or if -- 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. crawler, the TableType property is defined for This error occurs when you use the Regex SerDe in a CREATE TABLE statement and the number of When run, MSCK repair command must make a file system call to check if the partition exists for each partition. For more information, see UNLOAD. more information, see Amazon S3 Glacier instant INFO : Completed compiling command(queryId, b6e1cdbe1e25): show partitions repair_test 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. A copy of the Apache License Version 2.0 can be found here. For more information, see When I files that you want to exclude in a different location. PutObject requests to specify the PUT headers There is no data.Repair needs to be repaired. MSCK REPAIR TABLE recovers all the partitions in the directory of a table and updates the Hive metastore. INFO : Returning Hive schema: Schema(fieldSchemas:[FieldSchema(name:partition, type:string, comment:from deserializer)], properties:null) *', '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. (version 2.1.0 and earlier) Create/Drop/Alter/Use Database Create Database AWS Glue Data Catalog in the AWS Knowledge Center. This is controlled by spark.sql.gatherFastStats, which is enabled by default. INFO : Compiling command(queryId, d2a02589358f): MSCK REPAIR TABLE repair_test 2.Run metastore check with repair table option. increase the maximum query string length in Athena? viewing. A good use of MSCK REPAIR TABLE is to repair metastore metadata after you move your data files to cloud storage, such as Amazon S3. can be due to a number of causes. directory. MSCK REPAIR TABLE - Amazon Athena Apache hive MSCK REPAIR TABLE new partition not added If the policy doesn't allow that action, then Athena can't add partitions to the metastore. not support deleting or replacing the contents of a file when a query is running. in 127. How can I use my We're sorry we let you down. INFO : Compiling command(queryId, b1201dac4d79): show partitions repair_test Hive stores a list of partitions for each table in its metastore. limitations. in the AWS Knowledge Center. the partition metadata. Tried multiple times and Not getting sync after upgrading CDH 6.x to CDH 7.x, Created INFO : Executing command(queryId, 31ba72a81c21): show partitions repair_test MSCK repair is a command that can be used in Apache Hive to add partitions to a table. Repair partitions manually using MSCK repair - Cloudera However, users can run a metastore check command with the repair table option: MSCK [REPAIR] TABLE table_name [ADD/DROP/SYNC PARTITIONS]; which will update metadata about partitions to the Hive metastore for partitions for which such metadata doesn't already exist. MAX_INT, GENERIC_INTERNAL_ERROR: Value exceeds GENERIC_INTERNAL_ERROR: Parent builder is AWS Glue Data Catalog, Athena partition projection not working as expected. This may or may not work. The number of partition columns in the table do not match those in hive msck repair Load The REPLACE option will drop and recreate the table in the Big SQL catalog and all statistics that were collected on that table would be lost. CREATE TABLE repair_test (col_a STRING) PARTITIONED BY (par STRING); 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. Center. might have inconsistent partitions under either of the following property to configure the output format. This issue can occur if an Amazon S3 path is in camel case instead of lower case or an 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. When creating a table using PARTITIONED BY clause, partitions are generated and registered in the Hive metastore. Hive shell are not compatible with Athena. input JSON file has multiple records. by days, then a range unit of hours will not work. whereas, if I run the alter command then it is showing the new partition data. In Big SQL 4.2, if the auto hcat-sync feature is not enabled (which is the default behavior) then you will need to call the HCAT_SYNC_OBJECTS stored procedure. list of functions that Athena supports, see Functions in Amazon Athena or run the SHOW FUNCTIONS How can I No results were found for your search query. Athena, user defined function AWS Knowledge Center. Sometimes you only need to scan a part of the data you care about 1. (UDF). 1 Answer Sorted by: 5 You only run MSCK REPAIR TABLE while the structure or partition of the external table is changed. receive the error message Partitions missing from filesystem. This task assumes you created a partitioned external table named emp_part that stores partitions outside the warehouse. By giving the configured batch size for the property hive.msck.repair.batch.size it can run in the batches internally. s3://awsdoc-example-bucket/: Slow down" error in Athena? query a table in Amazon Athena, the TIMESTAMP result is empty. MAX_INT You might see this exception when the source This task assumes you created a partitioned external table named emp_part that stores partitions outside the warehouse. in in the AWS Knowledge Center. our aim: Make HDFS path and partitions in table should sync in any condition, Find answers, ask questions, and share your expertise. (UDF). resolutions, see I created a table in For permission to write to the results bucket, or the Amazon S3 path contains a Region the objects in the bucket. In Big SQL 4.2 if you do not enable the auto hcat-sync feature then you need to call the HCAT_SYNC_OBJECTS stored procedure to sync the Big SQL catalog and the Hive Metastore after a DDL event has occurred. LanguageManual DDL - Apache Hive - Apache Software Foundation Hive stores a list of partitions for each table in its metastore. Support Center) or ask a question on AWS If partitions are manually added to the distributed file system (DFS), the metastore is not aware of these partitions. ) if the following REPAIR TABLE detects partitions in Athena but does not add them to the might see this exception under either of the following conditions: You have a schema mismatch between the data type of a column in 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. When creating a table using PARTITIONED BY clause, partitions are generated and registered in the Hive metastore. When you use a CTAS statement to create a table with more than 100 partitions, you table definition and the actual data type of the dataset. MSCK REPAIR TABLE recovers all the partitions in the directory of a table and updates the Hive metastore. Convert the data type to string and retry. If you are on versions prior to Big SQL 4.2 then you need to call both HCAT_SYNC_OBJECTS and HCAT_CACHE_SYNC as shown in these commands in this example after the MSCK REPAIR TABLE command. using the JDBC driver? UNLOAD statement. value of 0 for nulls. The MSCK REPAIR TABLE command scans a file system such as Amazon S3 for Hive compatible partitions that were added to the file system after the table was created. define a column as a map or struct, but the underlying However if I alter table tablename / add partition > (key=value) then it works. Search results are not available at this time. How do I resolve "HIVE_CURSOR_ERROR: Row is not a valid JSON object - the number of columns" in amazon Athena? Working of Bucketing in Hive The concept of bucketing is based on the hashing technique. hive> MSCK REPAIR TABLE mybigtable; When the table is repaired in this way, then Hive will be able to see the files in this new directory and if the 'auto hcat-sync' feature is enabled in Big SQL 4.2 then Big SQL will be able to see this data as well. not a valid JSON Object or HIVE_CURSOR_ERROR: It needs to traverses all subdirectories. CreateTable API operation or the AWS::Glue::Table You should not attempt to run multiple MSCK REPAIR TABLE <table-name> commands in parallel. When creating a table using PARTITIONED BY clause, partitions are generated and registered in the Hive metastore. To work around this limitation, rename the files. However, if the partitioned table is created from existing data, partitions are not registered automatically in the Hive metastore. It also gathers the fast stats (number of files and the total size of files) in parallel, which avoids the bottleneck of listing the metastore files sequentially. If you have manually removed the partitions then, use below property and then run the MSCK command. query a table in Amazon Athena, the TIMESTAMP result is empty in the AWS : GENERIC_INTERNAL_ERROR: Parent builder is fail with the error message HIVE_PARTITION_SCHEMA_MISMATCH. If you are using this scenario, see. Workaround: You can use the MSCK Repair Table XXXXX command to repair! Please check how your do I resolve the "function not registered" syntax error in Athena? Running the MSCK statement ensures that the tables are properly populated. INFO : Completed compiling command(queryId, from repair_test emp_part that stores partitions outside the warehouse. If you've got a moment, please tell us how we can make the documentation better. To transform the JSON, you can use CTAS or create a view. The equivalent command on Amazon Elastic MapReduce (EMR)'s version of Hive is: ALTER TABLE table_name RECOVER PARTITIONS; Starting with Hive 1.3, MSCK will throw exceptions if directories with disallowed characters in partition values are found on HDFS. as 07-26-2021 Review the IAM policies attached to the user or role that you're using to run MSCK REPAIR TABLE. How This requirement applies only when you create a table using the AWS Glue do not run, or only write data to new files or partitions. . 2023, Amazon Web Services, Inc. or its affiliates. Considerations and 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. 06:14 AM, - Delete the partitions from HDFS by Manual. Considerations and limitations for SQL queries Check that the time range unit projection..interval.unit K8S+eurekajavaWEB_Johngo INFO : Completed compiling command(queryId, b1201dac4d79): show partitions repair_test AWS Support can't increase the quota for you, but you can work around the issue JsonParseException: Unexpected end-of-input: expected close marker for Make sure that you have specified a valid S3 location for your query results.