Spark Bigint Type

codec config and the default is lz4. Note: The Greenplum-Spark Connector does not support complex types, nor does it support any data type not listed in the tables below. Apache Spark 和 Apache HBase 是两个使用比较广泛的大数据组件。很多场景需要使用 Spark 分析/查询 HBase 中的数据,而目前 Spark 内置是支持很多数据源的,其中就包括了 HBase,但是内置的读取数据源还是使用了 TableInputFormat 来读取 HBase 中的数据。. You can cast __key at query time. a data source engine. Apache Spark SQL Data Types When you are setting up a connection to an external data source, Spotfire needs to map the data types in the data source to data types in Spotfire. The smallint type is generally only used if disk space is at a premium. Hive is a data warehouse infrastructure tool to process structured data in Hadoop. DataType(SqlDataType, Int32) DataType(SqlDataType, Int32) DataType(SqlDataType, Int32) Creates a new DataType object. The following examples use Hive commands to perform operations such as exporting data to Amazon S3 or HDFS, importing data to DynamoDB, joining tables, querying tables, and more. Hello, Using MySQL4. TypeScript 3. It can be very satisfying to build an application “the hard way”, using few conveniences. TiDB is an open source MySQL-compatible distributed database that handles hybrid transactional and analytical processing (HTAP) workloads and can empower Amazon Aurora users with an HTAP database. Comparing TypedDatasets with Spark's Datasets. Page 1 of 5 (94 posts) >> talks about » gis; Blog List. 3 and above. The format is yyyy-MM-dd hh:mm:ss, with both the date and time parts maintained to a millisecond accuracy. We have designed them to work alongside the existing RDD API, but improve efficiency when data can be. It shows how TypedDatasets allow for an expressive and type-safe api with no compromises on performance. Hive is a data warehouse infrastructure tool to process structured data in Hadoop. If you use a different database, you'll likely have problems if you try to use it with Spark JDBC Data Source. A null is returned if the conversion does not succeed. These are nothing but numbers with decimal points. cassandraTable( " keyspace name " , " table name " ) If no explicit type is given to cassandraTable , the result of this expression is CassandraRDD[CassandraRow]. sql( "select * from t1, t2 where t1. This section includes information about Hive data types and data conversion between Hive and SAS. For example, the following setting makes the default string length 1024 bytes:. VarIntType - spark - connector 6. This is a free tool to translate IP address from dotted-decimal address to decimal format and vice versa. For example, the following setting makes the default string length 1024 bytes:. data too large to fit in a single machine's memory). Specifying the data type in the Python function output is probably the safer way. 2 or higher only), VARCHAR Data Type (CDH 5. 0 completed the job in about 15 minutes of elapsed time and 390 minutes of CPU time, while Spark 1. The results are that Spark 2. Every workload is unique, and there is no single schema design that is best for every table. Comparing TypedDatasets with Spark's Datasets. But what is compacted data? How compacted should data be? And how much of a difference does…. In this article, we will discuss various techniques of converting int to a byte array and vice versa, int array to byte array and so on. Unlike bucketing in Apache Hive, Spark SQL creates the bucket files per the number of buckets and partitions. Robin Moffatt is a Developer Advocate at Confluent, and Oracle Groundbreaker Ambassador. DataType has two main type families: Atomic Types as an internal type to represent types that are not null, UDTs, arrays, structs, and maps. Apache Spark provides a lot of functions out-of-the-box. In some cases Data Visualization can't convert a source data type. 0, string literals (including regex patterns) are unescaped in our SQL parser. Integrate Apache Spark and Apache Hive with the Hive Warehouse Connector. size property in the bigsql-spark. val spark: SparkSession = spark. This data type stores a higher range of integers as compared to int. The Spark GraphX library is the RDD-based graph processing library, but GraphFrames is a Spark DataFrame-based graph processing library that is available as an external package. High performance Java client for Apache Cassandra. This data type defines the operations that can be done on the data, the meaning of the data, and the way values of that type can be stored. class DecimalType (FractionalType): """Decimal (decimal. This session uses a TO_BIGINT() to accommodate a string value 9223372036854775808 into a BigInt port. The utility allows you to create and run Map/Reduce jobs with any executable or script as the mapper and/or the reducer. Using Literal Character Strings A literal string is a sequence of bytes or characters, enclosed within either two single quotes (' ') or two double quotes (" "). Column type are used as column data types of Hive. The Spark session object is the primary entry point for Spark applications, and allows you to run SQL queries on database tables. Operation filter is take predicate f(x) as an argument which is some thing like x % 2 == 0 it means it will return true for even elements and false for odd elements. Mapped to java. The data type representing Int values. SlurmSpark is an RCSS developed solution for standing up Spark clusters within a Slurm Job Allocation. sql("alter table tableName change col col bigint") Talking about the issue you are facing while converting the type of the column, you need to understand the available datatypes and the implicit cast option available between them. resolution'='mapping_type' A property that sets the column mapping type for tables that use ORC data format. This type is nothing but floating point value with the higher range than the DOUBLE data type. @avengers. Spark union & column order issue Cannot up cast `count` from string to bigint as it may truncate The type path of the target object is:-field. bit (Transact-SQL) decimal and numeric (Transact-SQL) float and real (Transact-SQL) int, bigint, smallint, and tinyint. For example, Java, Scala, Python and R. For the notation to write literals of each of these data types, see Literals. Alexandre Neto's blog; Anita Graser; Faunalia; Info Geo Blog; Ireland QGIS User Group Blog. Then, click on the execute button. First, make sure you have the driver properly installed. Lists all the column information about output results, including the column name (or alias), catalog, schema, table name, type, type size in bytes, and a boolean that indicates whether the column is a. You can vote up the examples you like or vote down the ones you don't like. ArrayBasedMapData; ArrayData; ArrayType; BinaryType; BooleanType; ByteType. To work around this data type issue, you can manually convert a data column to a supported type by entering SQL commands. SeleniumConf Tokyo 2019; Clean Architecture and MVVM on iOS; Building React Components Using Children Props and Context API; Implement the OAuth 2. Since the data in the field is too large for the data type INT, I have to use the data type BIGINT. Imagine, however, that your data looks like something closer to a server log, and there’s a third field, sessionDt that gets captured as well. 15/07/06 18:39:40 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies). Basically, to perform several operations there are some functions available. This blog shares some column store database benchmark results, and compares the query performance of MariaDB ColumnStore v. Writing to Parquet files takes more work than reading. Presto supports two date and time operators: + and -. Apache Spark. A null is returned if the conversion does not succeed. sql( "select * from t1, t2 where t1. Type Conversion Function: This function is used to convert from one data type to another. This approach helps you understand core development principles and the inner workings. This document outlines effective schema design philosophies for Kudu, paying particular attention to where they differ from approaches used for traditional. MLlib supports dense matrices, whose entry values are stored in a single double array in column-major order, and sparse matrices, whose non-zero entry values are stored in the Compressed Sparse Column (CSC) format in column-major order. / 20 Spark GraphFrames のススメ ビッグデータ部 加嵜長門 2016年3月23日 道玄坂LT祭り 2. Amazon Aurora alternative without vendor lock-in. This module defines an object type which can compactly represent an array of basic values: characters, integers, floating point numbers. The smallint type is generally only used if disk space is at a premium. If you use a different database, you'll likely have problems if you try to use it with Spark JDBC Data Source. BIGINT is a convenient type to use for column declarations because you can use any kind of integer values in INSERT statements and they are promoted to BIGINT where necessary. Cast functions and operators enable conversion of values from one data type to another. The number of files supported in manifest file. 3 and above. The utility allows you to create and run Map/Reduce jobs with any executable or script as the mapper and/or the reducer. can be in the same partition or frame as the current row). What is Citus? How Far Can Citus Scale?. The BIGINT function returns a big integer (a binary integer with a precision of 63 bits) representation of a value of a different data type. RuntimeException: java. Join the world's most active Tech Community! Welcome back to the World's most active Tech Community!. is there a list somewhere of the short string data types Spark will identify? – alfredox Aug 29 '17 at 23:11 1 this solution also works splendidly in a loop e. The following table lists the supported data type mappings. But, as with any new system, there are some gotchas that can hold up new users. The str class can be used to handle binary data and 8-bit text, and the unicode class to handle Unicode text. The sqlDataType specifies the SQL Server data type. However, BIGINT also requires the most bytes of any integer type on disk and in memory, meaning your queries are not as efficient and scalable as possible if you overuse. Mapped to java. Creates a MapType by specifying the data type of keys (keyType), the data type of values (keyType), and whether values contain any null value (valueContainsNull). This approach helps you understand core development principles and the inner workings. Lambda architecture on SMACK-Cluster (using Scala) to fetch, store and analyse social media data (Twitter) - mavoll/SparkPipeline. This PR is convert following Spark Types to Oracle types refer to Oracle Developer's Guide. AnalysisException: cannot resolve 't. For example, Java, Scala, Python and R. DDL Commands in Hive. SeleniumConf Tokyo 2019; Clean Architecture and MVVM on iOS; Building React Components Using Children Props and Context API; Implement the OAuth 2. BIGINT supports big integers and extends the set of currently supported exact numeric data types (SMALLINT and INTEGER). The utility allows you to create and run Map/Reduce jobs with any executable or script as the mapper and/or the reducer. 2 or later of the Snowflake ODBC driver. BigDecimal is not a valid external type for schema of bigint I understand that it is trying to convert BigDecimal to Bigint and it fails, but could anyone tell me how do I cast the bigint to a spark compatible datatype ? If not, how can I modify my logic to give proper datatypes in the case statement for. Connect to Postgres databases, execute queries, and learn about Psycopg2 extras. Specifying the data type in the Python function output is probably the safer way. Spark DataFrames schemas are defined as a collection of typed columns. As such, when transferring data between Spark and Snowflake, we recommend using the following approaches to preserve time correctly, relative to time zones:. Casting from timestamp to integer types creates the result in seconds. select a + cast (b as bigint) from foo group by a + cast (b as bigint) having (a + cast (b as bigint)) > 1 works so I'm pretty sure that the resolution problem is being introduced when the casts are automatically added by the type coercion rule. comラボ • Hadoop基盤構築 • Spark MLlib, GraphX, spark. The integration is bidirectional: the Spark JDBC data source enables you to execute Big SQL queries from Spark and consume the results as data frames, while a built-in table UDF enables you to execute Spark jobs from Big SQL and consume the results as tables. Afterward, gently move the cursor to the top of the drop-down menu just after executing the query. Calculating the maximum range of various integer data types. IntegerType. Spark runs locally on each node. This function returns Null if the value n is not in the range of -1<=n<=1. Hive tables are specified with a CREATE TABLE statement, so every column in a table has a name and a data type. SQL developers ought to decide what types of data are going to be kept within every and each table column once making a SQL table. As per Spark Documentation this method should be used only if the resulting array is small , as all the data is loaded in to driver memory. Hi All, I'm fairly new to programming so I hope this question isn't too basic for you all. The connector bridges the gap between simple HBase KV store and complex relational SQL queries and enables users to perform complex data analytical work on top of MapR Database binary tables using Spark. Spark is lightning fast when joining a billion records. Views may also be defined with more complex WHERE clauses, but in that case you cannot issue DML against them as you’ll get a ReadOnlyException. class DecimalType (FractionalType): """Decimal (decimal. Greenplum Database -> Spark Data Type Mapping Supported Data Types When you load Greenplum data into Spark, the Greenplum-Spark Connector maps Greenplum Database data types to Spark data types for you. CAST function is used to explicitly convert an expression of one data type to another. Additionally, this should only be called if the numeric type is happy to be converted to Long. class DecimalType (FractionalType): """Decimal (decimal. When you issued HiveQL statements against the external table, the read and write operations were passed through to the DynamoDB table. data too large to fit in a single machine's memory). In other words, the number of bucketing files is the number of buckets multiplied by the number of task writers (one per partition). In addition, this class provides several methods for converting an int to a String and a String to an int, as well as other constants and methods useful when dealing with an int. This section explains all basic Scala Literals. SAS has two fundamental data types, character and numeric. Note: The Greenplum-Spark Connector does not support complex types, nor does it support any data type not listed in the tables below. Goal This article explains the difference between below 2 Hive configurations which control if common join can be converted to map join: hive. But, as with any new system, there are some gotchas that can hold up new users. simpleString, except that top level struct type can omit the struct. The date data type. Such as Hive Collection Functions, Hive Date Functions, Hive Mathematical Functions, Hive Conditional Functions and Hive String Functions. We do not recommend writing data into HBase using SHC using the default internal custom format of SHC. Window aggregate functions (aka window functions or windowed aggregates) are functions that perform a calculation over a group of records called window that are in some relation to the current record (i. val spark: SparkSession = spark. Advanced Search Create a udf in snowflake. The Hive Warehouse Connector maps most Apache Hive types to Apache Spark types and vice versa, but there are a few exceptions that you must manage. This blog post was published on Hortonworks. by Abdul-Wahab April 25, 2019 Abdul-Wahab April 25, 2019. Contribute to apache/spark development by creating an account on GitHub. Using Spark with DataStax Enterprise. Scala Library: scala. In other cases, Data Visualization can't represent binary and complex data types such as BLOB, JSON, and XML. Spark and Hive sharing a common MySQL metastore. What is Citus? How Far Can Citus Scale?. In my opinion, however, working with dataframes is easier than RDD most of the time. A null is returned if the conversion does not succeed. Converts column to date type (with an optional date format) to_timestamp. For example, if user_id were an int, and there were 10 buckets, we would expect all user_id's that end in 0 to be in bucket 1, all user_id's that end in a 1 to be in bucket 2, etc. You can vote up the examples you like or vote down the ones you don't like. DataFrames come at a loss of compile-time type safety and there is limited support for encoding JVM types. Apache Spark is a tool for Running Spark Applications. This is important to note because the Spark Thrift server, when returning result metadata for Varchar columns, reports column type as (12) STRING and precision as 2147483647. In other cases, Data Visualization can't represent binary and complex data types such as BLOB, JSON, and XML. You can use the Hive Warehouse Connector (HWC) API to access any type of table in the Hive catalog from Spark. The Scala Library Index (or Scaladex) is a representation of a map of all published Scala libraries. DataType(SqlDataType, Int32) DataType(SqlDataType, Int32) DataType(SqlDataType, Int32) Creates a new DataType object. There could be data type mapping inconsistency between your database and Spark; that is, some of the data types Spark uses are not supported by your database, and vice versa. The Spark GraphX library is the RDD-based graph processing library, but GraphFrames is a Spark DataFrame-based graph processing library that is available as an external package. Spark is an incredible tool for working with data at scale (i. a data source engine. io That implies that you need to get your value with the type it really has and then build a BigInt instance. This article explains about CAST function in sql server with examples. The following tables present data type mapping between NPS® and target systems or databases. Used for a type-preserving join with two output columns for records for which a join condition holds You can also use SQL mode to join datasets using good ol' SQL. The following are Jave code examples for showing how to use ShortType of the org. They are as follows: Integral Types. cast(string as bigint) converts a value of the string type into a value of the bigint type. This release of DB2® for z/OS® introduces a new SQL data type and function, BIGINT (big integer). 0 » Integrating Apache Hive with Kafka, Spark, and BI. SUM and COUNT BIGINT values in SQL Server October 31, 2013 By Biz Nigatu To sum and count bigint values in sql server we might not able to use the traditional functions (SUM and COUNT) as they are. Citus Docs v8. They are extracted from open source Python projects. Spark SQL CSV examples in Scala tutorial. For example, Impala does not automatically convert a DOUBLE value to FLOAT , a BIGINT value to INT , or other conversion where precision could be lost or. Data types define what type of data a column can contain. 1 or higher only), STRING Data Type, CHAR Data Type (CDH 5. 2 or higher only. The syntax of CAST is The CAST function converts the expr into the specified type. Possible values: 0 to 2147483647. Can some one help me in this. For example, the following setting makes the default string length 1024 bytes:. in my case class for RDD => SchemaRDD convertion that we do not have a Spark SQL. 3 Type mapping. Floating Point Types. So whenever you issue a command like. createStructField(name, dataType, nullable) It's worth keeping in mind that the types might change over time as Spark SQL continues to grow so you may want to reference Spark's documentation for future updates. NOTE: A true percentile can only be computed for integer values. By default, the length of the VARCHAR type that is used to map from the Spark String type is the maximum length supported by Big SQL; that is, 32672. I think I figured out solution with help of index. Spark SQL is tightly integrated with the the various spark programming languages so we will start by launching the Spark shell from the root directory of the provided USB drive:. In this blog post, we highlight three major additions to DataFrame API in Apache Spark 1. I have to modify the column type using Spark then erase the old parquet file with the new one:. Kalyan, Cloudera CCA175 Certified Consultant, Apache Contributor, 12+ years of IT exp, IIT Kharagpur, Gold Medalist. The hash_function depends on the type of the bucketing column. a field in the persistent object class is of type int[] and the DB type is VARCHAR or a List field have to be mapped to VARCHAR a field-conversion class can be used. To get a Spark RDD that represents a Cassandra table, call the cassandraTable method on the SparkContext object. A data type constrains the values that an expression, such as a variable or a function, might take. Python read orc file. OLAP with Apache Phoenix and HBase. Hive is a data warehouse infrastructure tool to process structured data in Hadoop. The internet growth caused an increase in the number of data sources and the massive quantities of data to be stored, requiring scaling these Data Warehouses constantly. As such, when transferring data between Spark and Snowflake, we recommend using the following approaches to preserve time correctly, relative to time zones:. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy. please can you help meif I have a column in database with data type bigint and save the datetime how i can retrieve it and view in crystal report as date by sql query. Spark streaming app will parse the data as flume events separating the headers from the tweets in json format. Let's look at how to use the SQL UNION ALL operator that returns one field. a data source engine. cd /path/to/spark/bin. Updating or deleting data in partition required removing the old partition and adding it back with the new data and it wasn’t possible to do atomically. cast(LongType) does not work for large values. create table parquet_test_2 (nation_key bigint, nation_name string, region_key bigint, n_comment string) stored as parquet tblproperties ('parquet. This release of DB2® for z/OS® introduces a new SQL data type and function, BIGINT (big integer). strings, longs. The type of the result is the same as the common parent(in the type hierarchy) of the types of the operands, for example, since every integer is a float. Alexandre Neto's blog; Anita Graser; Faunalia; Info Geo Blog; Ireland QGIS User Group Blog. As such, when transferring data between Spark and Snowflake, we recommend using the following approaches to preserve time correctly, relative to time zones:. The type names are case-insensitive, e. Every workload is unique, and there is no single schema design that is best for every table. Combining Stream Analytics with Azure Event Hubs enables near real time processing of millions of events per second. DDL Commands in Hive. Migrations are typically paired with Laravel's schema builder to easily build your application's database schema. This section includes information about Hive data types and data conversion between Hive and SAS. SeleniumConf Tokyo 2019; Clean Architecture and MVVM on iOS; Building React Components Using Children Props and Context API; Implement the OAuth 2. Learn it, then use it. Spark and Hive sharing a common MySQL metastore. Before I started I had basic understanding of Apache Spark (and Databricks) and zero experience. Spark SQL CSV examples in Scala tutorial. Apache Spark 和 Apache HBase 是两个使用比较广泛的大数据组件。很多场景需要使用 Spark 分析/查询 HBase 中的数据,而目前 Spark 内置是支持很多数据源的,其中就包括了 HBase,但是内置的读取数据源还是使用了 TableInputFormat 来读取 HBase 中的数据。. I think I figured out solution with help of index. There could be data type mapping inconsistency between your database and Spark; that is, some of the data types Spark uses are not supported by your database, and vice versa. This format is not well defined and mainly used for testing etc. A data type constrains the values that an expression, such as a variable or a function, might take. Spark GraphX supports many graph processing algorithms, but GraphFrames supports not only graph processing. Citus Docs v8. See below for a list of the different data type mappings applicable when working with an Apache Spark SQL database. Type: Bug Status SPARK-7697 Column. setProperty("file. You are still allowed to query through them and their WHERE clauses will be in effect as with standard SQL views. Table Generating Functions: These functions transform a single row into multiple rows. We can get the DataFrameReader from the session which can read a text file, as a DataSet, where each line is read as. DataType has two main type families: Atomic Types as an internal type to represent types that are not null, UDTs, arrays, structs, and maps. data too large to fit in a single machine's memory). The number of files supported in manifest file. Note that the phoenix-client JAR must be available in the Spark driver classpath. The Kafka Connector for Presto allows access to live topic data from Apache Kafka using Presto. Features of Spark SQL: Integrated – Spark SQL is the mixes of SQL queries so we can run queries complex analytic programs using tight integration property of Spark SQL. TiDB is an open source MySQL-compatible distributed database that handles hybrid transactional and analytical processing (HTAP) workloads and can empower Amazon Aurora users with an HTAP database. For this and other Spark tutorials, the file has been named baby_names. This time, we need to initialize the connector’s session manually and then use it to retrieve the schema:. Spark is 100 times faster than Big Data Hadoop and 10 times faster than accessing data from disk. They were not designed to handle petabytes of data, so companies were driven into using big data platforms (such as Hadoop). StructType is used to define a schema or its part. The internet growth caused an increase in the number of data sources and the massive quantities of data to be stored, requiring scaling these Data Warehouses constantly. Example: ACOS (0. txt where the fields are delimited by tab and the complex data type Array values are delimited by the comma. Given a column of type bigint, with a mili-second precision timestamp, like this 1485172800000 How can I get hive to give me a date, like this: 1/23/2017 I've done it before and I don't believe a UDF is necessary, but I can't seem to get it to work for me today. Using Literal Character Strings A literal string is a sequence of bytes or characters, enclosed within either two single quotes (' ') or two double quotes (" "). Schema design is critical for achieving the best performance and operational stability from Kudu. Introduction. map(lambda line : line. Learn about the most frequently asked questions (FAQs) relating to TiDB. ::DeveloperApi:: A user-defined type which can be automatically recognized by a SQLContext and registered. This approach helps you understand core development principles and the inner workings. Hive is a data warehouse infrastructure tool to process structured data in Hadoop. 0 Connector uses only the official and stable APIs for loading data from an external data source documented here. array — Efficient arrays of numeric values¶. can be in the same partition or frame as the current row). This optimization is called filter pushdown or predicate pushdown and aims at pushing down the filtering to the "bare metal", i. Since we only access field i from Foo the type is correct. 0 » Integrating Apache Hive with Spark and BI. Note that the phoenix-client JAR must be available in the Spark driver classpath. Writing to Parquet files takes more work than reading. 3) In general, a blob is an amorphous and undefinable object. 3 and above. StructType is used to define a schema or its part. Learn about the roadmap of TiDB. Note: The Greenplum-Spark Connector does not support complex types, nor does it support any data type not listed in the tables below. 5 of ISO/IEC 9075-14:2008 Part 14 XML-Related Specifications (SQL/XML) is represented in the following table. Login to a node with Spark installed. In this data type 64 bit signed represents a value from -(2^32) to +2^32 roughly. gov sites: Inpatient Prospective Payment System Provider Summary for the Top 100 Diagnosis-Related Groups - FY2011), and Inpatient Charge Data FY 2011. Decimal) data type. convertMetastoreParquet=true to cause spark sql to use built in parquet support when the serde looks like parquet. Hive supports different data types to be used in table columns. In some cases Data Visualization can't convert a source data type. Basically, to perform several operations there are some functions available. cast(IntegerType())) – Quetzalcoatl Apr 13 '18 at 20:01. select a + cast (b as bigint) from foo group by a + cast (b as bigint) having (a + cast (b as bigint)) > 1 works so I'm pretty sure that the resolution problem is being introduced when the casts are automatically added by the type coercion rule. 0 is about 7 times faster than Spark 1. Learn about the roadmap of TiDB. For file uploads, Amazon S3 sources, Athena and Salesforce, Amazon QuickSight supports the use of date and time formats (both 24 hr and am/pm) described in the Joda API documentation. Code Example: Data Preparation Using ResolveChoice, Lambda, and ApplyMapping The dataset that is used in this example consists of Medicare Provider payment data downloaded from two Data. 6 took about 100 minutes of elapsed time and 2840 minutes of CPU time. BigInt # BigInts are part of an upcoming proposal in ECMAScript that allow us to model theoretically arbitrarily large integers. The number of files supported in manifest file. Used for a type-preserving join with two output columns for records for which a join condition holds You can also use SQL mode to join datasets using good ol' SQL. Hadoop Hive Modules & Data Type with Examples : hive binary data type, String, Array, Timestamp, Struct Insert, Cast Function, Boolean and Map Data Type with Example. RDD[(BigInt, String, String, BigInt, BigInt, BigInt, BigInt, List[String])] Любая помощь приветствуется scala apache-spark apache-spark-sql spark-dataframe scala-collections 218. For columns of measure type, not requiring high accuracy, it is suggested to replace Numeric data type with Double to enhance query performance. Then, click on the execute button. Contribute to amesar/docker-spark-hive-metastore development by creating an account on GitHub.