Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. MariaDB [hive1]> SELECT SUM(PARAM_VALUE) FROM TABLE_PARAMS WHERE PARAM_KEY="totalSize"; MariaDB [hive1]> SELECT * FROM TBLS WHERE TBL_ID=5783; MariaDB [hive1]> SELECT * FROM TABLE_PARAMS. Instead, use spark.sql.warehouse.dir to specify the default location of database in warehouse. Do roots of these polynomials approach the negative of the Euler-Mascheroni constant? 07-06-2018 the same version as. -- gives all properties show tblproperties yourTableName -- show just the raw data size show tblproperties yourTableName ("rawDataSize") Share Improve this answer Follow answered Mar 21, 2016 at 13:00 Jared 2,894 5 33 37 3 Hive explain Table Parameters: totalSize doesn't m Open Sourcing Clouderas ML Runtimes - why it matters to customers? 5 What happened when a managed table is dropped? Managed or external tables can be identified using the DESCRIBE FORMATTED table_name command, which will display either MANAGED_TABLE or EXTERNAL_TABLE depending on table type. However, you may visit "Cookie Settings" to provide a controlled consent. in Hive Each Table can have one or more partition. # PySpark Usage Guide for Pandas with Apache Arrow, Specifying storage format for Hive tables, Interacting with Different Versions of Hive Metastore. Using the HDFS utilities to check the directory file sizes will give you the most accurate answer. I tried DESCRIBE EXTENDED, but that yielded numRows=0 which is obviously not correct. path is like /FileStore/tables/your folder name/your file; Refer to the image below for example. This command should also help you get the size of HIVE table : I was wondering if stats were needed to have describe extended output the actual file size. You can determine the size of a non-delta table by calculating the total sum of the individual files within the underlying directory. For a managed (non-external) table, data is manipulated through Hive SQL statements (LOAD DATA, INSERT, etc.) hdfs dfs -df -s -h . Connect and share knowledge within a single location that is structured and easy to search. For example:, if partition by date (mm-dd-yyyy). However, since Hive has a large number of dependencies, these dependencies are not included in the Each suite features two double-occupancy rooms with private bathroom facilities, community cabinets with a sink, a living room with a couch, end tables, a coffee table, and entertainment stand. hive> describe extended bee_master_20170113_010001> ;OKentity_id stringaccount_id stringbill_cycle stringentity_type stringcol1 stringcol2 stringcol3 stringcol4 stringcol5 stringcol6 stringcol7 stringcol8 stringcol9 stringcol10 stringcol11 stringcol12 string, Detailed Table Information Table(tableName:bee_master_20170113_010001, dbName:default, owner:sagarpa, createTime:1484297904, lastAccessTime:0, retention:0, sd:StorageDescriptor(cols:[FieldSchema(name:entity_id, type:string, comment:null), FieldSchema(name:account_id, type:string, comment:null), FieldSchema(name:bill_cycle, type:string, comment:null), FieldSchema(name:entity_type, type:string, comment:null), FieldSchema(name:col1, type:string, comment:null), FieldSchema(name:col2, type:string, comment:null), FieldSchema(name:col3, type:string, comment:null), FieldSchema(name:col4, type:string, comment:null), FieldSchema(name:col5, type:string, comment:null), FieldSchema(name:col6, type:string, comment:null), FieldSchema(name:col7, type:string, comment:null), FieldSchema(name:col8, type:string, comment:null), FieldSchema(name:col9, type:string, comment:null), FieldSchema(name:col10, type:string, comment:null), FieldSchema(name:col11, type:string, comment:null), FieldSchema(name:col12, type:string, comment:null)], location:hdfs://cmilcb521.amdocs.com:8020/user/insighte/bee_data/bee_run_20170113_010001, inputFormat:org.apache.hadoop.mapred.TextInputFormat, outputFormat:org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat, compressed:false, numBuckets:-1, serdeInfo:SerDeInfo(name:null, serializationLib:org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, parameters:{field.delim= , serialization.format=Time taken: 0.328 seconds, Fetched: 18 row(s)hive> describe formatted bee_master_20170113_010001> ;OK# col_name data_type comment, entity_id stringaccount_id stringbill_cycle stringentity_type stringcol1 stringcol2 stringcol3 stringcol4 stringcol5 stringcol6 stringcol7 stringcol8 stringcol9 stringcol10 stringcol11 stringcol12 string, # Detailed Table InformationDatabase: defaultOwner: sagarpaCreateTime: Fri Jan 13 02:58:24 CST 2017LastAccessTime: UNKNOWNProtect Mode: NoneRetention: 0Location: hdfs://cmilcb521.amdocs.com:8020/user/insighte/bee_data/bee_run_20170113_010001Table Type: EXTERNAL_TABLETable Parameters:COLUMN_STATS_ACCURATE falseEXTERNAL TRUEnumFiles 0numRows -1rawDataSize -1totalSize 0transient_lastDdlTime 1484297904, # Storage InformationSerDe Library: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDeInputFormat: org.apache.hadoop.mapred.TextInputFormatOutputFormat: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormatCompressed: NoNum Buckets: -1Bucket Columns: []Sort Columns: []Storage Desc Params:field.delim \tserialization.format \tTime taken: 0.081 seconds, Fetched: 48 row(s)hive> describe formatted bee_ppv;OK# col_name data_type comment, entity_id stringaccount_id stringbill_cycle stringref_event stringamount doubleppv_category stringppv_order_status stringppv_order_date timestamp, # Detailed Table InformationDatabase: defaultOwner: sagarpaCreateTime: Thu Dec 22 12:56:34 CST 2016LastAccessTime: UNKNOWNProtect Mode: NoneRetention: 0Location: hdfs://cmilcb521.amdocs.com:8020/user/insighte/bee_data/tables/bee_ppvTable Type: EXTERNAL_TABLETable Parameters:COLUMN_STATS_ACCURATE trueEXTERNAL TRUEnumFiles 0numRows 0rawDataSize 0totalSize 0transient_lastDdlTime 1484340138, # Storage InformationSerDe Library: org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDeInputFormat: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormatOutputFormat: org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormatCompressed: NoNum Buckets: -1Bucket Columns: []Sort Columns: []Storage Desc Params:field.delim \tserialization.format \tTime taken: 0.072 seconds, Fetched: 40 row(s), Created So not exactly this table is X size. Hive stores query logs on a per Hive session basis in /tmp/<user.name>/ by default. rev2023.3.3.43278. I have many tables in Hive and suspect size of these tables are causing space issues on cluster. P.S: previous approach is applicable for one table. HIVE-19334.4.patch > Use actual file size rather than stats for fetch task optimization with > external tables . The following options can be used to configure the version of Hive that is used to retrieve metadata: A comma-separated list of class prefixes that should be loaded using the classloader that is Why are ripples in water always circular? tblproperties will give the size of the table and can be used to grab just that value if needed. Available in extra large sizes, a modern twist on our popular Hive For updating data, you can use the MERGE statement, which now also meets ACID standards. Create Table is a statement used to create a table in Hive. 1) SELECT key, size FROM table; 4923069104295859283. Not the answer you're looking for? table_name [ (col_name data_type [COMMENT col_comment], .)] creating table, you can create a table using storage handler at Hive side, and use Spark SQL to read it. Jason Dere (JIRA) Reply via email to Search the site. 11:46 AM, Du return 2 number. What is the difference between partitioning and bucketing a table in Hive ? That means this should be applied with caution. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. When you create a Hive table, you need to define how this table should read/write data from/to file system, spark-warehouse in the current directory that the Spark application is started. Once the storage tables are populated, the materialized view is created, and you can access it like a table using the name of the materialized view. Thanks very much for all your help, Created Articles Related Column Directory Hierarchy The partition columns determine how the d ". format(serde, input format, output format), e.g. The provided jars should be "SELECT key, value FROM src WHERE key < 10 ORDER BY key". Created hdfs dfs -du command returns the TOTAL size in HDFS, including all replicas. Jason Dere (JIRA) . the count() will take much time for finding the result. # The results of SQL queries are themselves DataFrames and support all normal functions. Hive supports ANSI SQL and atomic, consistent, isolated, and durable (ACID) transactions. Whats the grammar of "For those whose stories they are"? Can I tell police to wait and call a lawyer when served with a search warrant? [jira] [Updated] (HIVE-19334) Use actual file size rather than stats for fetch task optimization with external tables. What is the point of Thrower's Bandolier? # | 500 | Partitioning allows you to store data in separate sub-directories under table location. 07-11-2018 05:16 PM, ANALYZE TABLE db_ip2738.ldl_cohort_with_tests COMPUTE STATISTICS. Why keep stats if we cant trust that the data will be the same in another 5 minutes? (Which is why I want to avoid COUNT(*).). Big tables can cause the performance issue in the Hive.Below are some of methods that you can use to list Hive high volume tables. What sort of strategies would a medieval military use against a fantasy giant? # | 2| val_2| 2| val_2| Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. hive1 by default. build of Spark SQL can be used to query different versions of Hive metastores, using the configuration described below. 11:03 PM Where does the data of a hive table gets stored? # +---+------+---+------+ Since this is an external table (EXTERNAL_TABLE), Hive will not keep any stats on the table since it is assumed that another application is changing the underlying data at will. 3 Describe formatted table_name: 3.1 Syntax: 3.2 Example: We can see the Hive tables structures using the Describe commands. Provide Name of the linked service. Location of the jars that should be used to instantiate the HiveMetastoreClient. The cookies is used to store the user consent for the cookies in the category "Necessary". - edited automatically. You may need to grant write privilege to the user who starts the Spark application. # | 4| val_4| 4| val_4| These configs provide deep control over lower level aspects like file sizing, compression, parallelism, compaction, write schema, cleaning etc. property can be one of four options: Comma-separated paths of the jars that used to instantiate the HiveMetastoreClient. The syntax and example are as follows: Syntax CREATE [TEMPORARY] [EXTERNAL] TABLE [IF NOT EXISTS] [db_name.] These cookies ensure basic functionalities and security features of the website, anonymously. # Key: 0, Value: val_0 Tables created by oozie hive action cannot be found from hive client but can find them in HDFS. they will need access to the Hive serialization and deserialization libraries (SerDes) in order to c. hdfs du -s output of the same table from HDFS. To list the sizes of Hive tables in Hadoop in GBs: 1 1 sudo -u hdfs hadoop fs -du /user/hive/warehouse/ | awk '/^ [0-9]+/ { print int ($1/ (1024**3)) " [GB]\t" $2 }' Result: 1 448 [GB]. Steps to Read Hive Table into PySpark DataFrame Step 1 - Import PySpark Step 2 - Create SparkSession with Hive enabled Step 3 - Read Hive table into Spark DataFrame using spark.sql () Step 4 - Read using spark.read.table () Step 5 - Connect to remove Hive. # |238|val_238| They define how to read delimited files into rows. A service that provides metastore access to other Apache Hive services. Find centralized, trusted content and collaborate around the technologies you use most. numPartitions: Metastore is the central repository of Apache Hive metadata. 99.4 is replica of the data right, hdfs dfs -du -s -h /data/warehouse/test.db/test33.1 G 99.4 G /data/warehouse/test.db/test, Created 01-17-2017 02:07 PM. 3. Iterate through the list of dbs to get all tables in respective database(s), If all files are in HDFS you can get the size. hive.mapjoin.localtask.max.memory.usage. # Key: 0, Value: val_0 01-09-2018 So what does that mean? I have many tables in Hive and suspect size of these tables are causing space issues on HDFS FS. hive> show tables;OKbee_actionsbee_billsbee_chargesbee_cpc_notifsbee_customersbee_interactionsbee_master_03jun2016_to_17oct2016bee_master_18may2016_to_02jun2016bee_master_18oct2016_to_21dec2016bee_master_20160614_021501bee_master_20160615_010001bee_master_20160616_010001bee_master_20160617_010001bee_master_20160618_010001bee_master_20160619_010001bee_master_20160620_010001bee_master_20160621_010002bee_master_20160622_010001bee_master_20160623_010001bee_master_20160624_065545bee_master_20160625_010001bee_master_20160626_010001bee_master_20160627_010001bee_master_20160628_010001bee_master_20160629_010001bee_master_20160630_010001bee_master_20160701_010001bee_master_20160702_010001bee_master_20160703_010001bee_master_20160704_010001bee_master_20160705_010001bee_master_20160706_010001bee_master_20160707_010001bee_master_20160707_040048bee_master_20160708_010001bee_master_20160709_010001bee_master_20160710_010001bee_master_20160711_010001bee_master_20160712_010001bee_master_20160713_010001bee_master_20160714_010001bee_master_20160715_010002bee_master_20160716_010001bee_master_20160717_010001bee_master_20160718_010001bee_master_20160720_010001bee_master_20160721_010001bee_master_20160723_010002bee_master_20160724_010001bee_master_20160725_010001bee_master_20160726_010001bee_master_20160727_010002bee_master_20160728_010001bee_master_20160729_010001bee_master_20160730_010001bee_master_20160731_010001bee_master_20160801_010001bee_master_20160802_010001bee_master_20160803_010001, Created by the hive-site.xml, the context automatically creates metastore_db in the current directory and Use parquet format to store data of your external/internal table. If so, how? # +---+-------+ // Queries can then join DataFrame data with data stored in Hive. // Order may vary, as spark processes the partitions in parallel. Types of Tables in Apache Hive. hive> select length (col1) from bigsql.test_table; OK 6 Cause This is expected behavior. Available Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features. Choose Azure SQL Database, click Continue.. The cookie is used to store the user consent for the cookies in the category "Other. These materialized views use the default file format configured in the optional hive.storage-format catalog configuration property, which defaults to ORC. To get the size of your test table (replace database_name and table_name by real values) just use something like (check the value of hive.metastore.warehouse.dir for /apps/hive/warehouse): [ hdfs @ server01 ~] $ hdfs dfs -du -s -h / apps / hive / warehouse / database_name / table_name Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors. You also need to define how this table should deserialize the data so the Hive system will know about any changes to the underlying data and can update the stats accordingly. If so, how close was it? Relax, unwind and create the perfect space with the Domi round coffee table, richly crafted from sustainable Mango wood and Rattan. in terms of the TB's, etc. You can also use queryExecution.analyzed.stats to return the size. This value represents the sum of the sizes of tables that can be converted to hashmaps that fit in memory. - the incident has nothing to do with me; can I use this this way. This classpath must include all of Hive Login into Hive Metastore DB and use the database that is used by hive. In the hive, the actual data will be store on the HDFS level. The table is storing the records or data in tabular format. options are. The HDFS refined monitoring function is normal. 12:00 PM. Hudi supports two storage types that define how data is written, indexed, and read from S3: When you run DROP TABLE on an external table, by default Hive drops only the metadata (schema). How do you remove Unfortunately Settings has stopped? To gather statistic numRows / rawDataSize for Parquet and ORC format, Flink will only read the file's footer to do fast gathering. be shared is JDBC drivers that are needed to talk to the metastore. Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2. Yes the output is bytes. How to show hive table size in GB ? If so, how? ; external table and internal table. 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.

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