DBeaver User Guide 22.0. Page 1 of 384. DBeaver User Guide v.22.0 DBeaver User Guide 22.0. Page 2 of 384. Installation Application Window Overview Views Database Navigator Filter Database Objects Auto-Complete SQL Formatting User Guide Table of contents General User Guide DBeaver User Guide 22.0. Page 3 of 384. SQL Execution Variables panel Query Execution Plan Visual Query Builder Script Change current user password Connection Types Transactions Database Management DBeaver User Guide 22.0. Page 4 of 384. Auto and Manual Commit Modes Transaction Log Pending transactions Database drivers

get_pi()); println!("pi value is {}",get_pi2()); } fn get_pi()->f64 { 22.0/7.0 } fn get_pi2()->f64 { return 22.0/7.0; } 11.4.3 �� 2 �������������� return ��������������������������� 3.142857142857143 fn main(){ println!("pi value is {}",get_pi()); } fn get_pi()->f64 { 22.0/7.0; } error[E0308]: mismatched types --> src/main.rs:5:14 | 5 | fn get_pi()->f64 { | ------ ^^^ expected f64, found () | | | this function's body doesn't return 6 | 22.0/7.0; | - help: consider removing this semicolon | = note: expected type `f64`

Name ␣ ˓→ Sex Age SibSp Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris ␣ ˓→male 22.0 1 0 A/5 21171 7.2500 NaN S 1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... ␣ ˓→female Name ␣ ˓→Sex Age SibSp Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris ␣ ˓→male 22.0 1 0 A/5 21171 7.2500 NaN S 1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... ␣ ˓→female Name ␣ ˓→Sex Age SibSp Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris ␣ ˓→male 22.0 1 0 A/5 21171 7.2500 NaN S 1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... ␣ ˓→female

analysis toolkit, Release 1.0.4 (continued from previous page) 0 1 0 3 Braund, Mr. Owen Harris ˓→ male 22.0 1 0 A/5 21171 7.2500 NaN S 1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... ˓→ female 38 Name ˓→ Sex Age SibSp Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris ˓→ male 22.0 1 0 A/5 21171 7.2500 NaN S 1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... ˓→female 38 Name ˓→ Sex Age SibSp Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris ˓→ male 22.0 1 0 A/5 21171 7.2500 NaN S 1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... ˓→female 38

Name ˓→ Sex Age SibSp Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris ˓→ male 22.0 1 0 A/5 21171 7.2500 NaN S 1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... ˓→ female 38 Name ˓→ Sex Age SibSp Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris ˓→ male 22.0 1 0 A/5 21171 7.2500 NaN S 1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... ˓→female 38 Name ˓→ Sex Age SibSp Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris ˓→ male 22.0 1 0 A/5 21171 7.2500 NaN S 1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... ˓→female 38

analysis toolkit, Release 1.0.3 (continued from previous page) 0 1 0 3 Braund, Mr. Owen Harris ˓→ male 22.0 1 0 A/5 21171 7.2500 NaN S 1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... ˓→ female 38 Name ˓→ Sex Age SibSp Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris ˓→ male 22.0 1 0 A/5 21171 7.2500 NaN S 1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... ˓→female 38 Name ˓→ Sex Age SibSp Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris ˓→ male 22.0 1 0 A/5 21171 7.2500 NaN S 1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... ˓→female 38

in the age of the Titanic passengers. In [4]: ages = titanic["Age"] In [5]: ages.head() Out[5]: 0 22.0 1 38.0 2 26.0 3 35.0 4 35.0 Name: Age, dtype: float64 To select a single column, use square passengers. In [8]: age_sex = titanic[["Age", "Sex"]] In [9]: age_sex.head() Out[9]: Age Sex 0 22.0 male 1 38.0 female 2 26.0 female 3 35.0 female 4 35.0 male To select multiple columns, use a Pclass Name Sex Age SibSp ␣ ˓→Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris male 22.0 1 ␣ ˓→ 0 A/5 21171 7.2500 NaN S 2 3 1 3 Heikkinen, Miss. Laina female 26.0 0 ␣ ˓→ 0 STON/O2. 3101282

in the age of the Titanic passengers. In [4]: ages = titanic["Age"] In [5]: ages.head() Out[5]: 0 22.0 1 38.0 2 26.0 3 35.0 4 35.0 Name: Age, dtype: float64 To select a single column, use square passengers. In [8]: age_sex = titanic[["Age", "Sex"]] In [9]: age_sex.head() Out[9]: Age Sex 0 22.0 male 1 38.0 female 2 26.0 female 3 35.0 female 4 35.0 male To select multiple columns, use a Pclass Name Sex Age SibSp ␣ ˓→Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris male 22.0 1 ␣ ˓→ 0 A/5 21171 7.2500 NaN S 2 3 1 3 Heikkinen, Miss. Laina female 26.0 0 ␣ ˓→ 0 STON/O2. 3101282

powerful Python data analysis toolkit, Release 1.5.0rc0 (continued from previous page) Out[5]: 0 22.0 1 38.0 2 26.0 3 35.0 4 35.0 Name: Age, dtype: float64 To select a single column, use square passengers. In [8]: age_sex = titanic[["Age", "Sex"]] In [9]: age_sex.head() Out[9]: Age Sex 0 22.0 male 1 38.0 female 2 26.0 female 3 35.0 female 4 35.0 male To select multiple columns, use a Pclass Name Sex Age SibSp ␣ ˓→Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris male 22.0 1 ␣ ˓→ 0 A/5 21171 7.2500 NaN S 2 3 1 3 Heikkinen, Miss. Laina female 26.0 0 ␣ ˓→ 0 STON/O2. 3101282

in the age of the Titanic passengers. In [4]: ages = titanic["Age"] In [5]: ages.head() Out[5]: 0 22.0 1 38.0 2 26.0 3 35.0 4 35.0 Name: Age, dtype: float64 To select a single column, use square passengers. In [8]: age_sex = titanic[["Age", "Sex"]] In [9]: age_sex.head() Out[9]: Age Sex 0 22.0 male 1 38.0 female 2 26.0 female 3 35.0 female 4 35.0 male To select multiple columns, use a Pclass Name Sex Age SibSp ␣ ˓→Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris male 22.0 1 ␣ ˓→ 0 A/5 21171 7.2500 NaN S 2 3 1 3 Heikkinen, Miss. Laina female 26.0 0 ␣ ˓→ 0 STON/O2. 3101282