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dbr | Additions to Go's database/sql for super fast performance and convenience. | SQL Database library

 by   gocraft Go Version: v2.7.2 License: MIT

 by   gocraft Go Version: v2.7.2 License: MIT

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kandi X-RAY | dbr Summary

dbr is a Go library typically used in Database, SQL Database, PostgresSQL applications. dbr has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.
gocraft/dbr provides additions to Go's database/sql for super fast performance and convenience.
Support
Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • dbr has a medium active ecosystem.
  • It has 1627 star(s) with 196 fork(s). There are 42 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 2 open issues and 123 have been closed. On average issues are closed in 144 days. There are 3 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of dbr is v2.7.2
dbr Support
Best in #SQL Database
Average in #SQL Database
dbr Support
Best in #SQL Database
Average in #SQL Database

quality kandi Quality

  • dbr has 0 bugs and 0 code smells.
dbr Quality
Best in #SQL Database
Average in #SQL Database
dbr Quality
Best in #SQL Database
Average in #SQL Database

securitySecurity

  • dbr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • dbr code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
dbr Security
Best in #SQL Database
Average in #SQL Database
dbr Security
Best in #SQL Database
Average in #SQL Database

license License

  • dbr is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
dbr License
Best in #SQL Database
Average in #SQL Database
dbr License
Best in #SQL Database
Average in #SQL Database

buildReuse

  • dbr releases are available to install and integrate.
  • Installation instructions are not available. Examples and code snippets are available.
  • It has 3959 lines of code, 283 functions and 49 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
dbr Reuse
Best in #SQL Database
Average in #SQL Database
dbr Reuse
Best in #SQL Database
Average in #SQL Database
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dbr Key Features

Additions to Go's database/sql for super fast performance and convenience.

gocraft/dbr (database records)

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$ go get -u github.com/gocraft/dbr/v2

Open connections

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// create a connection (e.g. "postgres", "mysql", or "sqlite3")
conn, _ := Open("postgres", "...", nil)
conn.SetMaxOpenConns(10)

// create a session for each business unit of execution (e.g. a web request or goworkers job)
sess := conn.NewSession(nil)

// create a tx from sessions
sess.Begin()

Create and use Tx

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sess := mysqlSession
tx, err := sess.Begin()
if err != nil {
	return
}
defer tx.RollbackUnlessCommitted()

// do stuff...

tx.Commit()

SelectStmt loads data into structs

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// columns are mapped by tag then by field
type Suggestion struct {
	ID	int64		// id, will be autoloaded by last insert id
	Title	NullString	`db:"subject"`	// subjects are called titles now
	Url	string		`db:"-"`	// ignored
	secret	string		// ignored
}

// By default gocraft/dbr converts CamelCase property names to snake_case column_names.
// You can override this with struct tags, just like with JSON tags.
// This is especially helpful while migrating from legacy systems.
var suggestions []Suggestion
sess := mysqlSession
sess.Select("*").From("suggestions").Load(&suggestions)

SelectStmt with where-value interpolation

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// database/sql uses prepared statements, which means each argument
// in an IN clause needs its own question mark.
// gocraft/dbr, on the other hand, handles interpolation itself
// so that you can easily use a single question mark paired with a
// dynamically sized slice.

sess := mysqlSession
ids := []int64{1, 2, 3, 4, 5}
sess.Select("*").From("suggestions").Where("id IN ?", ids)

SelectStmt with joins

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sess := mysqlSession
sess.Select("*").From("suggestions").
	Join("subdomains", "suggestions.subdomain_id = subdomains.id")

sess.Select("*").From("suggestions").
	LeftJoin("subdomains", "suggestions.subdomain_id = subdomains.id")

// join multiple tables
sess.Select("*").From("suggestions").
	Join("subdomains", "suggestions.subdomain_id = subdomains.id").
	Join("accounts", "subdomains.accounts_id = accounts.id")

SelectStmt with raw SQL

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SelectBySql("SELECT `title`, `body` FROM `suggestions` ORDER BY `id` ASC LIMIT 10")

InsertStmt adds data from struct

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type Suggestion struct {
	ID		int64
	Title		NullString
	CreatedAt	time.Time
}
sugg := &Suggestion{
	Title:		NewNullString("Gopher"),
	CreatedAt:	time.Now(),
}
sess := mysqlSession
sess.InsertInto("suggestions").
	Columns("title").
	Record(&sugg).
	Exec()

// id is set automatically
fmt.Println(sugg.ID)

InsertStmt adds data from value

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sess := mysqlSession
sess.InsertInto("suggestions").
	Pair("title", "Gopher").
	Pair("body", "I love go.")

Benchmark (2018-05-11)

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BenchmarkLoadValues/sqlx_10-8         	    5000	    407318 ns/op	    3913 B/op	     164 allocs/op
BenchmarkLoadValues/dbr_10-8          	    5000	    372940 ns/op	    3874 B/op	     123 allocs/op
BenchmarkLoadValues/sqlx_100-8        	    2000	    584197 ns/op	   30195 B/op	    1428 allocs/op
BenchmarkLoadValues/dbr_100-8         	    3000	    558852 ns/op	   22965 B/op	     937 allocs/op
BenchmarkLoadValues/sqlx_1000-8       	    1000	   2319101 ns/op	  289339 B/op	   14031 allocs/op
BenchmarkLoadValues/dbr_1000-8        	    1000	   2310441 ns/op	  210092 B/op	    9040 allocs/op
BenchmarkLoadValues/sqlx_10000-8      	     100	  17004716 ns/op	 3193997 B/op	  140043 allocs/op
BenchmarkLoadValues/dbr_10000-8       	     100	  16150062 ns/op	 2394698 B/op	   90051 allocs/op
BenchmarkLoadValues/sqlx_100000-8     	      10	 170068209 ns/op	31679944 B/op	 1400053 allocs/op
BenchmarkLoadValues/dbr_100000-8      	      10	 147202536 ns/op	23680625 B/op	  900061 allocs/op

How to pass a list to an IN clause via a placeholder with Ruby Sequel

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DB[:prices]
  .select(:date, :price, :region_id)
  .where(region_id: %w[NSW1 VIC1])
-----------------------
query = "
SELECT *
FROM PRICE
WHERE REGION IN ?"
regions = Sequel.lit("'NSW1', 'VIC1'")
sql = db.fetch(query, regions).sql
puts "sql: #{sql}"
sql: SELECT *
FROM PRICE
WHERE REGION IN ('NSW1', 'VIC1')
-----------------------
query = "
SELECT *
FROM PRICE
WHERE REGION IN ?"
regions = Sequel.lit("'NSW1', 'VIC1'")
sql = db.fetch(query, regions).sql
puts "sql: #{sql}"
sql: SELECT *
FROM PRICE
WHERE REGION IN ('NSW1', 'VIC1')

Why is this query not working in spqarql?

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select * where
{

 dbr:The_Lord_of_the_Rings dbp:author ?auth .

} LIMIT 100

Load spark bucketed table from disk previously written via saveAsTable

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CREATE TABLE [IF NOT EXISTS] [db_name.]table_name
  [(col_name1 col_type1 [COMMENT col_comment1], ...)]
  USING data_source
  [OPTIONS (key1=val1, key2=val2, ...)]
  [PARTITIONED BY (col_name1, col_name2, ...)]
  [CLUSTERED BY (col_name3, col_name4, ...) INTO num_buckets BUCKETS]
  [LOCATION path]
  [COMMENT table_comment]
  [TBLPROPERTIES (key1=val1, key2=val2, ...)]
  [AS select_statement]
spark.sql(
  """
    |CREATE TABLE bucketed
    | (name string)
    |  USING PARQUET
    |  CLUSTERED BY (name) INTO 10 BUCKETS
    |  LOCATION '/path/to'
    |""".stripMargin)
-----------------------
CREATE TABLE [IF NOT EXISTS] [db_name.]table_name
  [(col_name1 col_type1 [COMMENT col_comment1], ...)]
  USING data_source
  [OPTIONS (key1=val1, key2=val2, ...)]
  [PARTITIONED BY (col_name1, col_name2, ...)]
  [CLUSTERED BY (col_name3, col_name4, ...) INTO num_buckets BUCKETS]
  [LOCATION path]
  [COMMENT table_comment]
  [TBLPROPERTIES (key1=val1, key2=val2, ...)]
  [AS select_statement]
spark.sql(
  """
    |CREATE TABLE bucketed
    | (name string)
    |  USING PARQUET
    |  CLUSTERED BY (name) INTO 10 BUCKETS
    |  LOCATION '/path/to'
    |""".stripMargin)

Copying a Range to a Worksheet with same Format

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Sub CreateSheets()

    Dim rng As Range: Set rng = ThisWorkbook.Worksheets("Configuration").Range("Vendors[Vendors]")
    Dim dbR As Range: Set dbR = Sheets("Configuration").ListObjects("Client_Responses").DataBodyRange
    Dim Ws_Name As String
    
    Dim cell
    For Each cell In rng
            Ws_Name = cell
            Worksheets.Add.Name = cell
            ActiveSheet.Name = cell
            dbR.Copy Destination:=Range("B2")
            Worksheets("Configuration").Range("B8:K8").Copy
            Worksheets(Ws_Name).Range("B1").PasteSpecial xlPasteColumnWidths
            Worksheets(Ws_Name).Range("B1").PasteSpecial xlValues
            Worksheets(Ws_Name).Range("B1").PasteSpecial xlFormats
    
    Next cell
End Sub

How to avoid jar conflicts in a databricks workspace with multiple clusters and developers working in parallel?

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%sh
ls /local_disk0/tmp/ | grep addedFile

How to configure a custom Spark Plugin in Databricks?

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#!/bin/bash

STAGE_DIR="/dbfs/databricks/plugins/

echo "BEGIN: Upload Spark Plugins"
cp -f $STAGE_DIR/*.jar /mnt/driver-daemon/jars || { echo "Error copying Spark Plugin library file"; exit 1;}
echo "END: Upload Spark Plugin JARs"

echo "BEGIN: Modify Spark config settings"
cat << 'EOF' > /databricks/driver/conf/spark-plugin-driver-defaults.conf
[driver] {
   "spark.plugins" = "com.example.CustomExecSparkPlugin"
}
EOF
echo "END: Modify Spark config settings"

Check if parquet file exists using scala

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import org.apache.hadoop.fs.Path

val sc: SparkContext = ???

val pathToFolder: String = ???
val pathToParquetFile: String = target_path

val config = sc.hadoopConfiguration
val src    = new Path(pathToFolder)
val fs     = src.getFileSystem(config)

val parquetFileExists: Boolean = fs
  .listStatus(src)
  .map(_.getPath.toString)
  .find(_ == pathToParquetFile)
  .isDefined

select one output query SPARQL

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SELECT *
WHERE {
dbr:Zach_Galifianakis dbp:spouse ?spouse.
FILTER (strlen(str(?spouse)) > 0 && lang(?spouse) = 'en')
}

Spark regression only working with one feature

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df = spark.read.option("header", True).csv('WA_Fn-UseC_-Telco-Customer-Churn.csv')
print({col:df.filter(df[col].cast('float').isNull()).count() for col in ['MonthlyCharges', 'TotalCharges']})

# {'MonthlyCharges': 0, 'TotalCharges': 11}
relevant = df_num.select(['MonthlyCharges', 'TotalCharges', 'Churn_indexed']).fillna(0)
-----------------------
df = spark.read.option("header", True).csv('WA_Fn-UseC_-Telco-Customer-Churn.csv')
print({col:df.filter(df[col].cast('float').isNull()).count() for col in ['MonthlyCharges', 'TotalCharges']})

# {'MonthlyCharges': 0, 'TotalCharges': 11}
relevant = df_num.select(['MonthlyCharges', 'TotalCharges', 'Churn_indexed']).fillna(0)

How to compare tables from different mySQL databases with PHP?

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<?php

chdir(<path>);
include(<file>);
include(<file>);

$db = new db($hostname,$user,$pass,$commondatabase);

$db->select_db(<database>);

// Get tables from baseline database
$q="select distinct <column-name> from <table-name> where <where-param> ORDER BY <order-by-param>";
$r=$db->query($q);
while($tables=$db->fetch_assoc($r)) {
        $table = $tables[<key>];

        $x = array();
        $x["$table"]=array();

        // Get table columns from baseline database
        $q="select <column-name> from <table-name> where <where-param> and <where-param> ORDER BY <order-by-param>";
        $r2=$db->query($q);
        while ($columns=$db->fetch_assoc($r2)) {
                $x["$table"][]=$columns[<key>];
        }

        // Check other databases for this table
        $q="select * from $commondatabase.<table-with-database-names> ";
        $q.="where <where-param> order by <order-by-param>";
        $r2=$db->query($q);
        while ($databases=$db->fetch_assoc($r2)) {

                $y = array();
                $y["$table"]=array();

                // Get table columns in $databases[<key>]
                $q="select <column-name> from <table-name> where <where-param> and <where-param> ORDER BY <order-by-param>";
                $r3=$db->query($q);
                while ($columns=$db->fetch_assoc($r3)) {
                        $y["$table"][]=$columns[<key>];
                }

                // Check against baseline
                $z1 = array_diff($x["$table"],$y["$table"]);
                $z2 = array_diff($y["$table"],$x["$table"]);

                // Echo out comparison results
                if (empty($z1) && empty($z2)) {
                        //echo "all good.\n";
                } else {
                        echo "Difference found in {$databases[<key>]}.{$tables[<key>]}:";
                        if (!empty($z1)) print_r($z1);
                        if (!empty($z2)) print_r($z2);
                }
        }
}

$db->close();
?>

Community Discussions

Trending Discussions on dbr
  • How to pass a list to an IN clause via a placeholder with Ruby Sequel
  • Why is this query not working in spqarql?
  • Unable to find Databricks spark sql avro shaded jars in any public maven repository
  • Local Delta Lake instance with advanced features
  • Load spark bucketed table from disk previously written via saveAsTable
  • Copying a Range to a Worksheet with same Format
  • How to avoid jar conflicts in a databricks workspace with multiple clusters and developers working in parallel?
  • How to configure a custom Spark Plugin in Databricks?
  • Check if parquet file exists using scala
  • select one output query SPARQL
Trending Discussions on dbr

QUESTION

How to pass a list to an IN clause via a placeholder with Ruby Sequel

Asked 2022-Apr-08 at 23:11

I am trying to pass a quoted list to a placeholder in an IN clause with Ruby Sequel.

Specifically:

query = "
SELECT *
FROM PRICE
WHERE REGION IN (?)"

Then I use Ruby Sequel: dataset = dbr[query, param_values]; dataset.sql. If I pass param_values as a string like this: param_values = "'NSW1', 'VIC1'", the where clause becomes: WHERE REGION IN ((N'''NSW1'', ''VIC1''')) which doesn't work - presumably too many quotes. If I try passing the parameter as an array of quoted strings like this: param_values = %w[NSW1 VIC1] the where clause becomes: WHERE REGION IN ((N'NSW1' = N'VIC1')) which won't work.

Is there something that will work?

ANSWER

Answered 2022-Apr-08 at 06:05

I would use Sequel's query builder language instead of writing SQL manually which would look like this if you used default naming conventions:

DB[:prices]
  .select(:date, :price, :region_id)
  .where(region_id: %w[NSW1 VIC1])

Source https://stackoverflow.com/questions/71792230

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install dbr

You can download it from GitHub.

Support

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