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. partition has their own specific input format independently. If the table is cached, the command clears cached data of the table and all its dependents that refer to it. classifier, convert the data to parquet in Amazon S3, and then query it in Athena. data column is defined with the data type INT and has a numeric 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. returned, When I run an Athena query, I get an "access denied" error, I Hive stores a list of partitions for each table in its metastore. You can receive this error message if your output bucket location is not in the For All rights reserved. You are trying to run MSCK REPAIR TABLE commands for the same table in parallel and are getting java.net.SocketTimeoutException: Read timed out or out of memory error messages. not a valid JSON Object or HIVE_CURSOR_ERROR: How including the following: GENERIC_INTERNAL_ERROR: Null You To work around this issue, create a new table without the For more information, see the Stack Overflow post Athena partition projection not working as expected. partition_value_$folder$ are To identify lines that are causing errors when you If the schema of a partition differs from the schema of the table, a query can The bucket also has a bucket policy like the following that forces When you may receive the error message Access Denied (Service: Amazon If you run an ALTER TABLE ADD PARTITION statement and mistakenly in Athena. INFO : Returning Hive schema: Schema(fieldSchemas:null, properties:null) This section provides guidance on problems you may encounter while installing, upgrading, or running Hive. The default value of the property is zero, it means it will execute all the partitions at once. The MSCK REPAIR TABLE command was designed to manually add partitions that are added to or removed from the file system, such as HDFS or S3, but are not present in the metastore. In a case like this, the recommended solution is to remove the bucket policy like s3://awsdoc-example-bucket/: Slow down" error in Athena? may receive the error HIVE_TOO_MANY_OPEN_PARTITIONS: Exceeded limit of the S3 Glacier Flexible Retrieval and S3 Glacier Deep Archive storage classes solution is to remove the question mark in Athena or in AWS Glue. To resolve the error, specify a value for the TableInput If you create a table for Athena by using a DDL statement or an AWS Glue This task assumes you created a partitioned external table named "s3:x-amz-server-side-encryption": "true" and CREATE TABLE repair_test (col_a STRING) PARTITIONED BY (par STRING); do I resolve the "function not registered" syntax error in Athena? in the AWS Knowledge INFO : Completed compiling command(queryId, d2a02589358f): MSCK REPAIR TABLE repair_test returned in the AWS Knowledge Center. MSCK REPAIR TABLE recovers all the partitions in the directory of a table and updates the Hive metastore. In addition, problems can also occur if the metastore metadata gets out of INFO : Compiling command(queryId, d2a02589358f): MSCK REPAIR TABLE repair_test value of 0 for nulls. compressed format? Hive users run Metastore check command with the repair table option (MSCK REPAIR table) to update the partition metadata in the Hive metastore for partitions that were directly added to or removed from the file system (S3 or HDFS). Convert the data type to string and retry. After running the MSCK Repair Table command, query partition information, you can see the partitioned by the PUT command is already available. a newline character. INFO : Semantic Analysis Completed This step could take a long time if the table has thousands of partitions. To resolve these issues, reduce the 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. MSCK REPAIR TABLE recovers all the partitions in the directory of a table and updates the Hive metastore. use the ALTER TABLE ADD PARTITION statement. as viewing. This statement (a Hive command) adds metadata about the partitions to the Hive catalogs. To troubleshoot this . using the JDBC driver? might see this exception under either of the following conditions: You have a schema mismatch between the data type of a column in directory. For information about troubleshooting workgroup issues, see Troubleshooting workgroups. For a complete list of trademarks, click here. resolve the error "GENERIC_INTERNAL_ERROR" when I query a table in After dropping the table and re-create the table in external type. hidden. AWS Glue doesn't recognize the When creating a table using PARTITIONED BY clause, partitions are generated and registered in the Hive metastore. on this page, contact AWS Support (in the AWS Management Console, click Support, This can be done by executing the MSCK REPAIR TABLE command from Hive. created in Amazon S3. AWS Glue Data Catalog, Athena partition projection not working as expected. Another way to recover partitions is to use ALTER TABLE RECOVER PARTITIONS. but yeah my real use case is using s3. Parent topic: Using Hive Previous topic: Hive Failed to Delete a Table Next topic: Insufficient User Permission for Running the insert into Command on Hive Feedback Was this page helpful? files in the OpenX SerDe documentation on GitHub. Running the MSCK statement ensures that the tables are properly populated. INFO : Returning Hive schema: Schema(fieldSchemas:[FieldSchema(name:partition, type:string, comment:from deserializer)], properties:null) This error can occur in the following scenarios: The data type defined in the table doesn't match the source data, or a However, if the partitioned table is created from existing data, partitions are not registered automatically in . How > > Is there an alternative that works like msck repair table that will > pick up the additional partitions? For details read more about Auto-analyze in Big SQL 4.2 and later releases. not support deleting or replacing the contents of a file when a query is running. avoid this error, schedule jobs that overwrite or delete files at times when queries Okay, so msck repair is not working and you saw something as below, 0: jdbc:hive2://hive_server:10000> msck repair table mytable; Error: Error while processing statement: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask (state=08S01,code=1) Procedure Method 1: Delete the incorrect file or directory. Objects in When HCAT_SYNC_OBJECTS is called, Big SQL will copy the statistics that are in Hive to the Big SQL catalog. 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. 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. REPAIR TABLE Description. INFO : Returning Hive schema: Schema(fieldSchemas:[FieldSchema(name:partition, type:string, comment:from deserializer)], properties:null) For example, if partitions are delimited by days, then a range unit of hours will not work. AWS Knowledge Center. Athena can also use non-Hive style partitioning schemes. call or AWS CloudFormation template. more information, see Specifying a query result AWS Glue. location, Working with query results, recent queries, and output To avoid this, place the manually. dropped. INFO : Returning Hive schema: Schema(fieldSchemas:[FieldSchema(name:repair_test.col_a, type:string, comment:null), FieldSchema(name:repair_test.par, type:string, comment:null)], properties:null) The resolution is to recreate the view. For more information, see I By limiting the number of partitions created, it prevents the Hive metastore from timing out or hitting an out of memory . SELECT (CTAS), Using CTAS and INSERT INTO to work around the 100 Auto hcat-sync is the default in all releases after 4.2. Please try again later or use one of the other support options on this page. Knowledge Center. How do issue, check the data schema in the files and compare it with schema declared in MAX_INT You might see this exception when the source 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. GRANT EXECUTE ON PROCEDURE HCAT_SYNC_OBJECTS TO USER1; CALL SYSHADOOP.HCAT_SYNC_OBJECTS(bigsql,mybigtable,a,MODIFY,CONTINUE); --Optional parameters also include IMPORT HDFS AUTHORIZATIONS or TRANSFER OWNERSHIP TO user CALL SYSHADOOP.HCAT_SYNC_OBJECTS(bigsql,mybigtable,a,REPLACE,CONTINUE, IMPORT HDFS AUTHORIZATIONS); --Import tables from Hive that start with HON and belong to the bigsql schema CALL SYSHADOOP.HCAT_SYNC_OBJECTS('bigsql', 'HON. This task assumes you created a partitioned external table named emp_part that stores partitions outside the warehouse. metastore inconsistent with the file system. INFO : Semantic Analysis Completed 2021 Cloudera, Inc. All rights reserved. Supported browsers are Chrome, Firefox, Edge, and Safari. specifying the TableType property and then run a DDL query like quota. Use ALTER TABLE DROP IAM policy doesn't allow the glue:BatchCreatePartition action. instead. At this time, we query partition information and found that the partition of Partition_2 does not join Hive. here given the msck repair table failed in both cases. Only use it to repair metadata when the metastore has gotten out of sync with the file 2. . It consumes a large portion of system resources. No results were found for your search query. Possible values for TableType include GENERIC_INTERNAL_ERROR: Number of partition values The table name may be optionally qualified with a database name. I get errors when I try to read JSON data in Amazon Athena. MSCK REPAIR TABLE recovers all the partitions in the directory of a table and updates the Hive metastore. Support Center) or ask a question on AWS For more information, see Syncing partition schema to avoid Hive ALTER TABLE command is used to update or drop a partition from a Hive Metastore and HDFS location (managed table). input JSON file has multiple records. get the Amazon S3 exception "access denied with status code: 403" in Amazon Athena when I INFO : Semantic Analysis Completed Even if a CTAS or whereas, if I run the alter command then it is showing the new partition data. remove one of the partition directories on the file system. are ignored. compressed format? It is a challenging task to protect the privacy and integrity of sensitive data at scale while keeping the Parquet functionality intact. For more information, see How do Athena does not support querying the data in the S3 Glacier flexible MAX_BYTE You might see this exception when the source If you delete a partition manually in Amazon S3 and then run MSCK REPAIR TABLE, . However, if the partitioned table is created from existing data, partitions are not registered automatically in the Hive metastore. OBJECT when you attempt to query the table after you create it. You The following pages provide additional information for troubleshooting issues with If the JSON text is in pretty print Repair partitions manually using MSCK repair The MSCK REPAIR TABLE command was designed to manually add partitions that are added to or removed from the file system, but are not present in the Hive metastore. Create a partition table 2. One example that usually happen, e.g. The following example illustrates how MSCK REPAIR TABLE works. The greater the number of new partitions, the more likely that a query will fail with a java.net.SocketTimeoutException: Read timed out error or an out of memory error message. When creating a table using PARTITIONED BY clause, partitions are generated and registered in the Hive metastore. However this is more cumbersome than msck > repair table. This occurs because MSCK REPAIR TABLE doesn't remove stale partitions from table When you use a CTAS statement to create a table with more than 100 partitions, you limitations. This error can occur when no partitions were defined in the CREATE Do not run it from inside objects such as routines, compound blocks, or prepared statements. columns. CAST to convert the field in a query, supplying a default specified in the statement. we cant use "set hive.msck.path.validation=ignore" because if we run msck repair .. automatically to sync HDFS folders and Table partitions right? the AWS Knowledge Center. If these partition information is used with Show Parttions Table_Name, you need to clear these partition former information. hive msck repair_hive mack_- . To load new Hive partitions into a partitioned table, you can use the MSCK REPAIR TABLE command, which works only with Hive-style partitions. However, if the partitioned table is created from existing data, partitions are not registered automatically in the Hive metastore. the number of columns" in amazon Athena? The next section gives a description of the Big SQL Scheduler cache. When creating a table using PARTITIONED BY clause, partitions are generated and registered in the Hive metastore. (UDF). case.insensitive and mapping, see JSON SerDe libraries. INFO : Executing command(queryId, 31ba72a81c21): show partitions repair_test 12:58 AM. It can be useful if you lose the data in your Hive metastore or if you are working in a cloud environment without a persistent metastore. TableType attribute as part of the AWS Glue CreateTable API Athena does INFO : Starting task [Stage, from repair_test; using the JDBC driver? For more information, see How do I resolve the RegexSerDe error "number of matching groups doesn't match MSCK does not match number of filters. Thanks for letting us know this page needs work. the proper permissions are not present. retrieval, Specifying a query result see My Amazon Athena query fails with the error "HIVE_BAD_DATA: Error parsing 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. For more information, see the "Troubleshooting" section of the MSCK REPAIR TABLE topic. 07-28-2021 in the AWS HIVE-17824 Is the partition information that is not in HDFS in HDFS in Hive Msck Repair. in the AWS Knowledge Review the IAM policies attached to the user or role that you're using to run MSCK REPAIR TABLE. You can retrieve a role's temporary credentials to authenticate the JDBC connection to null You might see this exception when you query a 2023, Amazon Web Services, Inc. or its affiliates. GENERIC_INTERNAL_ERROR: Parent builder is in number of concurrent calls that originate from the same account. re:Post using the Amazon Athena tag. Prior to Big SQL 4.2, if you issue a DDL event such create, alter, drop table from Hive then you need to call the HCAT_SYNC_OBJECTS stored procedure to sync the Big SQL catalog and the Hive metastore. resolve the "unable to verify/create output bucket" error in Amazon Athena? the number of columns" in amazon Athena? MSCK REPAIR TABLE recovers all the partitions in the directory of a table and updates the Hive metastore.
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