Drill Mole Mac OS
Drill Mole Mac OS
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In this article, I will show how to create a macOS Mojave USB installer with Disk Drill. macOS Mojave is one of the greatest operating systems among the Mac operating system right now. Because, after macOS High Sierra macOS Mojave released to the public, and one of the great work is this that you can install, the developer on VirtualBox and VMware Workstation player, as a second operating system on Windows 10. Therefore, if you want to install macOS Mojave on VirtualBox and VMware. I have written the article, which based on How to install macOS Mojave on VirtualBox and Windows? and How to install macOS Mojave on VMware on windows, However, while you are going to install macOS Mojave or any other operating system on your Mac computer. Therefore, you need a bootable USB or written CD/DVD to install the operating system.
Create macOS Mojave USB Installer
There are two more steps that you can create bootable USB for macOS Mojave
However, in this article, I will show how to create a macOS Mojave USB installer with Disk Drill. Moreover, before going to start this important process you need some requirements of elements to create bootable USB.
macOS Mojave USB installer
Required Files:
- WinRar
- macOS Mojave Image file
- Disk Drill
- At least 16GB USB pen drive
Download macOS Mojave Image file from Techsprobe.com
You can download the latest version of macOS Mojave from below link. Which is MacOS Mojave 10.14.2 still there is no more any latest version of macOS Mojave in App store.
What is Disk Drill?
Disk Drill is Data Recovery Wizard for Mac is one of the most reliable Mac Data & Recovery software. This software was built to get lost data easily from the deletion list, just in 3-steps of the process. Also, this software can recover from deep of Mac computers, then the other Mac Data recovery software it ensures you to have a better result. Therefore, the original data is undamaged and your info is kept secure. So, here I will use this software for creating macOS Mojave USB installer. Now you need to follow my steps for the betterment of your work.
Disk Drill
The installation process of Disk Drill is too much easy everyone can do it. Therefore, you need to download the newest version of Disk Drill, from Google or App Store. While the downloading is done just by some click you can install that, After that, enjoy using Disk Drill for your Mac data recovery and creating macOS Mojave USB installer.
Create macOS Mojave USB Installer with Disk Drill
Step #1. At the very first step, you need to get macOS Mojave Image file from App Store. If you are not able to download the image file from the above link, so, click on App store, then on the search bar type macOS Mojave and enter. then you will see GET option click on that.
Get macOS Mojave
Step #2. After you clicked Get next screen will pop up just click Download.
Download macOS Mojave
Step #3. In this step, you will see that the macOS Mojave DMG file is downloading. So, have patient because it will take a long time to download. Therefore, it depends on your internet speed also if your internet speed is nice it will take no long time.
macOS Mojave downloading process
Step #4. In this step, after the downloading, you will see the installation screen. Don’t click continue because you only need the macOS Mojave DMG file. So, for that, you need to Quit Install macOS.
Step #5. In this step, open Disk Drill from the list of installed software on your Mac computer.
Open Disk Drill
Step #6. While you launch Disk Drill. After that, on the left-handed click on Create boot drive, then select OS X / macOS Installer.
Step #7. In this step, click on Use a Source then it will automatically insert macOS Mojave image file for creating the USB installer.
Select macOS Mojave image file
Step #8. In this step, insert the USB drive while you inserted the USB Drive automatically the USB drive appears on the list of the drives. After that, click on Make Bootable.
Insert the USB
Warning POP-UP
Step #9. In this step, a warning will pop up that you have chosen SanDisk Ultra USB 3.0 (61.51 GB, disk1) as your destination disk. All its data will be erased. Are yAbsolutelyely sure you wish to proceed? Therefore, click the Yes button to complete the process. Then wait for some minute to complete.
Step #10. Now you have successfully created a bootable “install macOS Mojave” drive for macOS installation. Then enjoy using macOS Mojave installation on your computer.
Successful
Conclusion
That’s all about How to create a macOS Mojave USB installer with Disk Drill. Therefore, I hope that you have gotten something interesting about this article, then if you faced any kind of problem comment on the comment box. And don’t forget to give us feedback for your more support.
Drill reads from and writes to data sources having a wide variety of types.
| SQL Data Type | Description | Example |
|---|---|---|
| BIGINT | 8-byte signed integer in the range -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807 | 9223372036854775807 |
| BINARY | Variable-length byte string | B@e6d9eb7 |
| BOOLEAN | True or false | true |
| DATE | Years, months, and days in YYYY-MM-DD format since 4713 BC | 2015-12-30 |
| DECIMAL(p,s), or DEC(p,s), NUMERIC(p,s)* | 38-digit precision number, precision is p, and scale is s | DECIMAL(6,2) is 1234.56, 4 digits before and 2 digits after the decimal point |
| FLOAT | 4-byte floating point number | 0.456 |
| DOUBLE, DOUBLE PRECISION | 8-byte floating point number, precision-scalable | 0.456 |
| INTEGER or INT | 4-byte signed integer in the range -2,147,483,648 to 2,147,483,647 | 2147483646 |
| INTERVAL** | A day-time or year-month interval | ‘1 10:20:30.123’ (day-time) or ‘1-2’ year to month (year-month) |
| SMALLINT*** | 2-byte signed integer in the range -32,768 to 32,767 | 32000 |
| TIME | 24-hour based time before or after January 1, 2001 in hours, minutes, seconds format: HH:mm:ss | 22:55:55.23 |
| TIMESTAMP | JDBC timestamp in year, month, date hour, minute, second, and optional milliseconds format: yyyy-MM-dd HH:mm:ss.SSS | 2015-12-30 22:55:55.23 |
| CHARACTER VARYING, CHARACTER, CHAR,** or VARCHAR | UTF8-encoded variable-length string. The default limit is 1 character. The maximum character limit is 2,147,483,647. | CHAR(30) casts data to a 30-character string maximum. |
* Starting in Drill 1.14, the DECIMAL data type is enabled by default.
** Internally, INTERVAL is represented as INTERVALDAY or INTERVALYEAR.
*** SMALLINT is not currently supported.
**** The CHAR data type is internally represented as VARCHAR by Drill.
DECIMAL Data Type
Starting in Drill 1.14, DECIMAL data type support is enabled by default. Drill uses the vardecimal data type to store decimal and numeric data types in a compressed format that optimizes storage space. The vardecimal data type stores decimal and numeric values as variable length columns that can represent any decimal precision.
In Drill, the SQL DECIMAL and NUMERIC data types map to the java.math.BigDecimal Java data type.
Syntax
The DECIMAL data type accepts numeric values, for which you can define a precision and a scale, as shown:
Precision is an integer that indicates how many digits the number will contain. Scale is an integer that indicates the number of digits to the right of the decimal point. For example, the number 2325.67 has a precision of 6 and scale of 2. In a query, DECIMAL (6,2).
Scale cannot be greater than the precision. If you do not indicate a precision or scale, the default precision is 38 and scale is 0.
Decimal Data Type Storage Format Support
Drill can read decimal data types from and write decimal data types to the following storage format:
- parquet
Drill can read decimal data types from the following storage formats, but cannot write decimal data types to them:
- hive
- jdbc
- avro
Decimal Type Options
You can use the SET command with the planner.enable_decimal_data_type option to turn DECIMAL data type support off and on. If you disable the planner.enable_decimal_data_type option (by setting it to false), Drill treats decimal literals as DOUBLE.
Drill 1.14 introduces the following additional decimal-related options for the Parquet storage format that you can modify using the SET command:
store.parquet.writer.use_primitive_types_for_decimals (boolean)
Allows Drill to use INT32 and INT64 logical types when storing decimal values in Parquet if the precision of the value allows it. Default is true. Set to false to prevent Drill from using INT32 and INT64 logical types, as shown:store.parquet.writer.logical_type_for_decimalsIndicates the logical type that Drill should use to store decimals. The default is fixed_len_byte_array. Alternatively, you can set this option to binary, as shown:
Composite Types
Drill supports the following composite types:
- Map
- Array
A map is a set of name/value pairs. A value in a map can be a scalar type, such as string or int, or a complex type, such as an array or another map. An array is a repeated list of values. A value in an array can be a scalar type, such as string or int, or an array can be a complex type, such as a map or another array.
Drill uses map and array data types internally for reading complex and nested data structures from data sources. In this release of Drill, you cannot reference a composite type by name in a query, but Drill supports array values coming from data sources. For example, you can use the index syntax to query data and get the value of an array element:
a[1]
You can refer to the value for a key in a map using dot notation:
t.m.k
The section “Query Complex Data” shows how to use composite types to access nested arrays. “Handling Different Data Types” includes examples of JSON maps and arrays. Drill provides functions for handling array and map types:
ANY Type
The ANY type is a key technological advance in Drill that enables it to address late typing problems. Drill uses the ANY type internally and you might see references to ANY in the output of the DESCRIBE or other commands. You cannot cast a value to the ANY type in this release.
Using the ANY type, the parser postpones the problem of resolving the type of some value until the query is actually running. At that point, Drill has an empirical schema available for each record batch to use for final codegeneration and optimization. If the empirical schema changes due tochanges in the data processing, Drill regenerates the code as necessary.
Casting and Converting Data Types
In Drill, you cast or convert data to the required type for moving data from one data source to another.You do not assign a data type to every column name in a CREATE TABLE statement to define the table as you do in database software. Instead, you use the CREATE TABLE AS (CTAS) statement with one or more of the following functions to define the table:
- CONVERT TO/FROM
Use the CONVERT TO AND CONVERT FROM data types - Other data conversion functions
In some cases, Drill converts schema-less data to correctly-typed data implicitly. In this case, you do not need to cast the data. The file format of the data and the nature of your query determines the requirement for casting or converting. Differences in casting depend on the data source. The following list describes how Drill treats data types from various data sources:
- HBase
Does not implicitly cast input to SQL types. Convert data to appropriate types as as described in the section “Querying HBase”. Use CONVERT_TO or CONVERT_FROM data types. - Hive
Implicitly casts Hive types to SQL types as shown in the Hive type mapping example - JSON
Implicitly casts JSON data to its corresponding SQL types or to VARCHAR if Drill is in all text mode. - MapR-DB
Implicitly casts MapR-DB data to SQL types when you use the maprdb format for reading MapR-DB data. The dfs storage plugin defines the format when you install Drill from the mapr-drill package on a MapR node. - Parquet
Implicitly casts Parquet data to the SQL types shown in SQL Data Types to Parquet. - Text: CSV, TSV, and other text
Implicitly casts all textual data to VARCHAR.
Implicit Casting Precedence of Data Types
The following list includes data types Drill uses in descending order of precedence. Casting precedence shown in the following table applies to the implicit casting that Drill performs. For example, Drill might implicitly cast data when a query includes a function or filter on mismatched data types:
As shown in the table, Drill can cast a NULL value, which has the lowest precedence, to any other type; you can cast a SMALLINT (not supported in this release) value to INT. Drill might deviate from these precedence rules for performance reasons. Under certain circumstances, such as queries involving SUBSTR and CONCAT functions, Drill reverses the order of precedence and allows a cast to VARCHAR from a type of higher precedence than VARCHAR, such as BIGINT. The INTERVALDAY and INTERVALYEAR types are internal types.
Casting Precedence
| Precedence | Data Type | Precedence | Data Type |
|---|---|---|---|
| 1 | INTERVALYEAR (highest) | 12 | UINT2 |
| 2 | INTERVALDAY | 13 | SMALLINT* |
| 3 | TIMESTAMP | 14 | UINT1 |
| 4 | DATE | 15 | VAR16CHAR |
| 5 | TIME | 16 | FIXED16CHAR |
| 6 | DOUBLE | 17 | VARCHAR |
| 7 | DECIMAL | 18 | CHAR |
| 8 | UINT8 | 19 | VARBINARY |
| 9 | BIGINT | 20 | FIXEDBINARY |
| 10 | UINT4 | 21 | NULL (lowest) |
| 11 | INT |
* Not supported in this release.
Explicit Casting
In a textual file, such as CSV, Drill interprets every field as a VARCHAR, as previously mentioned. To handle textual data, you can use the following functions to cast and convert compatible data types:
- CAST
Casts data from one data type to another. - CONVERT_TO and CONVERT_FROM/docs/data-type-conversion/#convert_to-and-convert_from)Convert data, including binary data, from one data type to another using “CONVERT_TO and CONVERT_FROM data types”
- TO_CHAR
Converts a TIMESTAMP, INTERVALDAY/INTERVALYEAR, INTEGER, DOUBLE, or DECIMAL to a string. - TO_DATE
Converts a string to DATE. - TO_NUMBER
Converts a string to a DECIMAL. - TO_TIMESTAMP
Converts a string to TIMESTAMP.
If the SELECT statement includes a WHERE clause that compares a column of an unknown data type, cast both the value of the column and the comparison value in the WHERE clause.
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Explicit Type Casting Maps
The following tables show data types that Drill can cast to/from other data types. Not all types are available for explicit casting in the current release.
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Numerical and Character Data Types
| To | SMALLINT | INT | BIGINT | DECIMAL | FLOAT | CHAR | FIXEDBINARY | VARCHAR | VARBINARY |
|---|---|---|---|---|---|---|---|---|---|
| From: | |||||||||
| SMALLINT* | yes | yes | yes | yes | yes | yes | yes | yes | yes |
| INT | yes | yes | yes | yes | yes | yes | yes | yes | yes |
| BIGINT | yes | yes | yes | yes | yes | yes | yes | yes | yes |
| DECIMAL | yes | yes | yes | yes | yes | yes | yes | yes | yes |
| DOUBLE | yes | yes | yes | yes | yes | yes | no | yes | no |
| FLOAT | yes | yes | yes | yes | yes | yes | no | yes | no |
| CHAR | yes | yes | yes | yes | yes | no | yes | yes | yes |
| FIXEDBINARY** | yes | yes | yes | yes | yes | no | no | yes | yes |
| VARCHAR*** | yes | yes | yes | yes | yes | yes | yes | no | yes |
| VARBINARY** | yes | yes | yes | yes | yes | no | yes | yes | no |
* Not supported in this release.
** Used to cast binary UTF-8 data coming to/from sources such as HBase.
*** You cannot convert a character string having a decimal point to an INT or BIGINT.
Note
The CAST function does not support all representations of FIXEDBINARY and VARBINARY. Only the UTF-8 format is supported.
If your FIXEDBINARY or VARBINARY data is in a format other than UTF-8, or big-endian encoded, use the CONVERT_TO/FROM functions instead of CAST.
Date and Time Data Types
| To: | DATE | TIME | TIMESTAMP | INTERVALYEAR | INTERVALDAY |
|---|---|---|---|---|---|
| From: | |||||
| CHAR | Yes | Yes | Yes | Yes | Yes |
| FIXEDBINARY* | No | No | No | No | No |
| VARCHAR | Yes | Yes | Yes | Yes | Yes |
| VARBINARY* | No | No | Yes | No | No |
| DATE | No | No | Yes | No | No |
| TIME | No | Yes | Yes | No | No |
| TIMESTAMP | Yes | Yes | Yes | No | No |
| INTERVALYEAR | Yes | No | Yes | No | Yes |
| INTERVALDAY | Yes | No | Yes | Yes | No |
* Used to cast binary UTF-8 data coming to/from sources such as HBase. The CAST function does not support all representations of FIXEDBINARY and VARBINARY. Only the UTF-8 format is supported.
Data Types for CONVERT_TO and CONVERT_FROM Functions
The CONVERT_TO function converts data to bytes from the input type. The CONVERT_FROM function converts data from bytes to the input type. For example, the following CONVERT_TO function converts an integer to bytes using big endian encoding:
The following table lists the data types you can use with the CONVERT_TOand CONVERT_FROM functions:
| Type | Input Type | Output Type |
|---|---|---|
| JSON | bytes | varchar |
| BOOLEAN_BYTE | bytes(1) | BOOLEAN |
| TINYINT_BE | bytes(1) | TINYINT |
| TINYINT | bytes(1) | TINYINT |
| SMALLINT_BE | bytes(2) | SMALLINT |
| SMALLINT | bytes(2) | SMALLINT |
| INT_BE | bytes(4) | INT |
| INT | bytes(4) | INT |
| BIGINT_BE | bytes(8) | BIGINT |
| BIGINT | bytes(8) | BIGINT |
| FLOAT | bytes(4) | FLOAT (float4) |
| DOUBLE | bytes(8) | DOUBLE (float8) |
| INT_HADOOPV | bytes(1-9) | INT |
| BIGINT_HADOOPV | BYTES(1-9) | BIGINT |
| DATE_EPOCH_BE | bytes(8) | DATE |
| DATE_EPOCH | bytes(8) | DATE |
| TIME_EPOCH_BE | bytes(8) | TIME |
| TIME_EPOCH | bytes(8) | TIME |
| TIMESTAMP_EPOCH | bytes(8) | TIMESTAMP |
| TIMESTAMP_IMPALA* | bytes(12) | TIMESTAMP |
| UTF8 | bytes | VARCHAR |
| UTF16 | bytes | VAR16CHAR |
| UINT8 | bytes(8) | UINT8 |
| UINT8_BE | bytes(8) | UINT8 |
* In Drill 1.2 and later, use the TIMESTAMP_IMPALA type with the CONVERT_FROM function to decode a timestamp from Hive or Impala, as shown in the section, “About INT96 Support”.
This table includes types such as INT, for converting little endian-encoded data and types such as INT_BE for converting big endian-encoded data to Drill internal types. You need to convert binary representations, such as data in HBase, to a Drill internal format as you query the data. If you are unsure that the size of the source and destination INT or BIGINT you are converting is the same, use CAST to convert these data types to/from binary.
*_HADOOPV in the data type name denotes the variable length integer as defined by Hadoop libraries. Use a *_HADOOPV type if user data is encoded in this format by a Hadoop tool outside MapR.
Drill Mole Mac OS