Starting from Spark 1.4.0, a single binary Hive Partition is a way to organize large tables into smaller logical tables . 1) SELECT key, size FROM table; 4923069104295859283. The data loaded in the hive database is stored at the HDFS path /user/hive/warehouse. Got it!!. Articles Related Column Directory Hierarchy The partition columns determine how the d ". Hive simplifies the performance of operations such as: Data encapsulation Ad-hoc queries Analysis of huge datasets But what makes Hive standout? The threshold (in bytes) for the input file size of the small tables; if the file size is smaller than this threshold, it will try to convert the common join into map join. Linear Algebra - Linear transformation question. Use parquet format to store data of your external/internal table. // You can also use DataFrames to create temporary views within a SparkSession. If you want the DROP TABLE command to also remove the actual data in the external table, as DROP TABLE does on a managed table, you need to configure the table properties accordingly. This summary is aimed for those who don't have the current time to devour all 256 pages. These options can only be used with "textfile" fileFormat. 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 In a managed table, both the table data and the table schema are managed by Hive. Where does the data of a hive table gets stored? If the Hive table is stored as Parquet or ORC format, numFiles / totalSize / numRows / rawDataSize can be gathered. Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. The next point which is the hdfs du -s can be compared to check this. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. # +---+------+---+------+ the count() will take much time for finding the result. 06:25 AM, When i run du command it give me below size of table, 33.1 GB hdfs dfs -du -s -h /data/warehouse/test.db/test, ANALYZE TABLECOMPUTE STATISTICS FOR COLUMNS, Created Open Sourcing Clouderas ML Runtimes - why it matters to customers? (Which is why I want to avoid COUNT(*).). By default hive1 database Hive Metastore DB, execute the following query to get the total size of all the tables in Hive in bytes for one replica, multiply it by replication factor. Whether you are creating a coastal inspired or boho home, this table will suit any space - perfect for alfresco living. the "serde". it is tedious to run the same command for each table. // Partitioned column `key` will be moved to the end of the schema. Currently we support 6 fileFormats: 'sequencefile', 'rcfile', 'orc', 'parquet', 'textfile' and 'avro'. Jason Dere (JIRA) Reply via email to Search the site. Otherwise, only numFiles / totalSize can be gathered. [This can be checked in the table TABLE_PARAMS in Metastore DB that I have also mentioned below (How it works?.b)]. Whats the grammar of "For those whose stories they are"? If so - how? table_name [ (col_name data_type [COMMENT col_comment], .)] # | 500 | How do I align things in the following tabular environment? Reusable Hive Baitable Beetle Trap Without Poison Chemicals Beekeeping Tool SH. 03:45 AM, Created Kate believes the key to living well, and healthy, is to plug into what your body needs, understanding that one size does not fit all, all the time, and being truly honest with yourself about your goals and desires. You can also use queryExecution.analyzed.stats to return the size. Created on My code is GPL licensed, can I issue a license to have my code be distributed in a specific MIT licensed project? 05:38 PM, Created 3 Describe formatted table_name: 3.1 Syntax: 3.2 Example: We can see the Hive tables structures using the Describe commands. Users who do not have an existing Hive deployment can still enable Hive support. To use S3 Select in your Hive table, create the table by specifying com.amazonaws.emr.s3select.hive.S3SelectableTextInputFormat as the INPUTFORMAT class name, and specify a value for the s3select.format property using the TBLPROPERTIES clause. It provides client access to this information by using metastore service API. Find centralized, trusted content and collaborate around the technologies you use most. If you create a Hive table over an existing data set in HDFS, you need to tell Hive about the format of the files as they are on the filesystem (schema on read). For external tables Hive assumes that it does not manage the data. prefix that typically would be shared (i.e. hive> select length (col1) from bigsql.test_table; OK 6 Cause This is expected behavior. Is there a Hive query to quickly find table size (i.e. However, you may visit "Cookie Settings" to provide a controlled consent. As a part of maintenance, you should identify the size of growing tables periodically. the same version as. SAP SE (/ s. e p i /; German pronunciation: [sape] ()) is a German multinational software company based in Walldorf, Baden-Wrttemberg.It develops enterprise software to manage business operations and customer relations. 01-13-2017 ; external table and internal table. 4 What are the compression techniques in Hive? That means this should be applied with caution. the hive.metastore.warehouse.dir property in hive-site.xml is deprecated since Spark 2.0.0. 05:16 PM, ANALYZE TABLE db_ip2738.ldl_cohort_with_tests COMPUTE STATISTICS. When an external table is dropped in Hive? 07-11-2018 05:16 PM, Find answers, ask questions, and share your expertise. 1. Hive supports ANSI SQL and atomic, consistent, isolated, and durable (ACID) transactions. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc. Version of the Hive metastore. // The items in DataFrames are of type Row, which allows you to access each column by ordinal. As far as I know there is no single command to achieve the results you're looking. Use hdfs dfs -du Command So what does that mean? Is paralegal higher than legal assistant? 07-06-2018 Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. 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 As user bigsql: HOW TO: Find Total Size of Hive Database/Tables in BDM? When you create a Hive table, you need to define how this table should read/write data from/to file system, 01-13-2017 It will able to handle a huge amount of data i.e. Although Hudi provides sane defaults, from time-time these configs may need to be tweaked to optimize for specific workloads. Tables created by oozie hive action cannot be found from hive client but can find them in HDFS. automatically. This value represents the sum of the sizes of tables that can be converted to hashmaps that fit in memory. Is there a way to enforce compression on table itself? Can we check size of Hive tables? they will need access to the Hive serialization and deserialization libraries (SerDes) in order to Find centralized, trusted content and collaborate around the technologies you use most. Is there a way to check the size of Hive tables in one shot? Once done, you can execute the below query to get the total size of all the tables in Hive in bytes. So far we have been inserting data into the table by setting the following properties hive> set hive.exec.compress.output=true; hive> set avro.output.codec=snappy; However, if someone forgets to set the above two properties the compression is not achieved. I am looking for a approach to run a command and get all required info. Not the answer you're looking for? 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 What sort of strategies would a medieval military use against a fantasy giant? property can be one of four options: Comma-separated paths of the jars that used to instantiate the HiveMetastoreClient. What sort of strategies would a medieval military use against a fantasy giant? Hive stores query logs on a per Hive session basis in /tmp/<user.name>/ by default. Jason Dere (JIRA) . You also need to define how this table should deserialize the data 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. Available in extra large sizes, a modern twist on our popular Hive # # You can also use DataFrames to create temporary views within a SparkSession. % scala spark.read.table ("< non-delta-table-name >") .queryExecution.analyzed.stats Was this article helpful? Both Partitioning and Bucketing in Hive are used to improve performance by eliminating table scans when dealing with a large set of data on a Hadoop file system (HDFS). Instead, use spark.sql.warehouse.dir to specify the default location of database in warehouse. # The results of SQL queries are themselves DataFrames and support all normal functions. Hands on experience on SQL SERVER 2016, 2014, SSIS, SSRS, SSAS (Data Warehouse, DataMart, Dimensional Modelling, Cube Designing and deployment), Power BI, MSBI and SYBASE 12.5. tblproperties will give the size of the table and can be used to grab just that value if needed. What is the point of Thrower's Bandolier? You can determine the size of a non-delta table by calculating the total sum of the individual files within the underlying directory. Note that independent of the version of Hive that is being used to talk to the metastore, internally Spark SQL The totalSize returned in Hive is only the actual size of the table itself, which is only 1 copy, so 11998371425 * 3 = 35995114275 = 33GB. Drop table command deletes the data permanently. Note that these Hive dependencies must also be present on all of the worker nodes, as Load large csv in hadoop via Hue would only store a 64MB block, Cannot query example AddressBook protobuf data in hive with elephant-bird, Hive not running Map Reduce with "where" clause, Rhive query inserts multiple entries into Hive table for a single row insert when run via an Oozie job, Follow Up: struct sockaddr storage initialization by network format-string, Identify those arcade games from a 1983 Brazilian music video, How to handle a hobby that makes income in US. In the hive, the tables are consisting of columns and rows and store the related data in the table format within the same database. How Intuit democratizes AI development across teams through reusability. For Big SQL, the CHARACTER_LENGTH function counts characters, and for Hive, the OCTET_LENGTH function counts bytes. See other answer below. vegan) just to try it, does this inconvenience the caterers and staff? 09:33 AM, CREATE TABLE `test.test`()ROW FORMAT SERDE'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'STORED AS INPUTFORMAT'org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat'OUTPUTFORMAT'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat'LOCATION'hdfs://usasprd1/data/warehouse/test.db/test'TBLPROPERTIES ('COLUMN_STATS_ACCURATE'='true','last_modified_by'='hive','last_modified_time'='1530552484','numFiles'='54','numRows'='134841748','rawDataSize'='4449777684','totalSize'='11998371425','transient_lastDdlTime'='1531324826').