What bus does Henggang take to Longgang central city

1. Bus route: no.855, the whole journey is about 54.1km
1. Walk about 90m from Gongming to Gongming bus station
2. Take no.855, pass 60 stops to Ziwei Garden Station (or take 668)
3. Walk about 150m to Longgang central city

2. The whole journey from Longgang line 3 to Shekou line 2 is about 1 hour and 19 minutes / 35.1 km / 27 stops / transfer once. Shuanglong takes Longgang line 3 via 26 stops, gets off at Futian, takes Shekou line 2 via 1 stop, gets off at Lianhua West about 627 meters, and walks to Lianhua Mountain Park. Destination: Lianhuashan Park

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4. Generally speaking, the practitioners in the computer instry will never use domestic anti-virus software. Generally, they use Windows Defender or little red umbrella. McAfee is also useful. So am I
the reason that 360 security guard uses more people is that most people are ordinary users, and all kinds of one click operations in the software are very easy to use. How easy is it to use? People who run computer stores say 360 robbed them of their business
in fact, as long as it is domestic software, there are more or less hooliganism.

5. Less than 200000 yuan and more than 5000 yuan, go to Dongguan welfare lottery issuing center. the address is. On the third floor of Junda business center, 23 Dongcheng Avenue, Dongguan City, this address is right, because I pass by here every day when I go to work, so I have no chance to go up. ha-ha. Below 5000 yuan, all sales outlets can get it. More than 200000. Also to Dongguan lucky lottery center registration, and then to Guangzhou to get. Specific address, if you want to be safe, ask the staff of fortune lottery center.

6. Bus route: Metro Line 2, the whole journey is about 3.4 km
1. Walk about 410 meters from Guangzhou station to Guangzhou railway station
2. Take Metro Line 2, pass 3 stations to gongyuanqian station
3. Walk about 310 meters to Guangzhou welfare lottery issuing center

please take it, thank you. Check in floor map
< p class = "f-aid" style = "margin: Auto;" > This data comes from the network map, and the final result is subject to the latest data of the network map

7. Go to Guangdong fortune lottery center to cash the prize! City lottery center is not responsible for cashing awards! The third prize includes less than the third prize, that is, less than 3000 yuan, which can be cashed at any lucky lottery sales point. The first and second prizes, that is, more than 3000 yuan, need to go to the provincial lucky lottery center, except Shenzhen! 1、 Second prize need to dect 20% of personal income tax!

8.

The field types in database table include binary data type, character data type, number data type and so on. *** Digital data type

digital data type includes positive and negative numbers, decimal and integer

6, currency data type

indicates positive or negative currency quantity

9. Data type description bit integer bit data type is integer, and its value can only be 0, 1 or null. This data type is used to store data with only two possible values, such as yes or no, true or false, on or off int. int data type can store integers from - 231 (- 2147483648) to 231 (2147483647). Almost all numerical data stored in the database can use this data type. This data type takes up four bytes in the database. The smallint data type can store integers from - 215 (- 32768) to 215 (32767). This kind of data type is very useful for storing some numerical data which is often limited in a specific range. This data type takes up 2 bytes of space in the database. It can store integers from 0 to 255. It's useful when you're only going to store a limited number of values. This data type occupies one byte in the database. Numeric precise numeric data type is the same as decimal data type. Decimal precise numeric data type can be used to store numerical data with fixed precision and range from - 1038-1 to 1038-1. When using this data type, you must specify the range and precision. The range is the total number of digits that can be stored around the decimal point. Precision is the number of digits stored to the right of the decimal point. Money data type is used to represent money and currency value. This data type can store data from - 922 billion to 922 billion, accurate to one thousandth of the monetary unit. Smallmoney data type is used to represent money and monetary value. This data type can store data from - 214748.3648 to 214748.3647, accurate to one ten thousandth of the monetary unit. Floating point numbers are approximate because not all numbers in their range can be expressed accurately. Floating point number can be any number from - 1.79e + 308 to 1.79e + 308. Real data type is similar to floating point number, which is an approximate numerical type. It can represent floating-point numbers with values between - 3.40e + 38 and 3.40e + 38. Datetime datetime data type is used to represent date and time. This data type stores all the date and time data from January 1, 1753 to December 31, 9999, accurate to one hundredth of a second or 3.33 milliseconds. The smalldatetime data type is used to represent the date and time from January 1, 1900 to June 6, 2079, One minute cursor special data type a cursor data type is a special data type that contains a reference to a cursor. *** *** *** *** *** The GUID is indeed globally unique. This number has little chance to be reconstructed in another system. You can use the new function or convert a string to a unique identifier to initialize a column with a unique identifier. Char data type is used to store fixed length non-uniform coded data of a specified length. When defining a column as this type, you must specify the column length. This data type is useful when you always know the length of the data to be stored. For example, when you store data in the format of postcode plus 4 characters, you know that 10 characters are always needed. The maximum column width of this data type is 8000 characters. Varchar character type varchar data type, like char type, is used to store non-uniform coded character data. Unlike char, this data type is variable length. When defining a column as the data type, you need to specify the maximum length of the column. The biggest difference between it and char data type is that the length of storage is not the length of column, but the length of data. Text character data type is used to store a large number of non-uniform coded character data. This data type can have 23.1-1 or 2 billion characters at most. Nchar unified coding character type nchar data type is used to store fixed length unified coding character type data. Unified encoding uses a double byte structure to store each character instead of a single byte (in the case of plain text). It allows a large number of extended characters. This data type can store 4000 characters, and the byte space used is doubled. Nvarchar unified encoding character type nvarchar data type is used as variable length unified encoding character type data. This data type can store 4000 characters, and the byte space used is doubled. Ntext data type is used to store a large number of unified coded character data. This data type can store 230-1 or nearly 1 billion characters, and the byte space used is doubled. Binary data type is used to store fixed length binary data up to 8000 bytes. When the contents of the input table are close to the same length, you should use this data type varbinary binary data type to store variable length binary data up to 8000 bytes. When the content size of the input table is variable, you should use this data type image binary data type image data type is used to store variable length binary data, up to 231-1 or about 2 billion bytes

10. It is an imprecise double precision floating-point type with 8 bytes. The difference and usage of floating-point type 2 are listed below.
the range of float (n)
1-24 7-digit 4 bytes
25-53 15 digit 8 bytes
Real = float (24)
numeric (P, s) - 10 ^ 38 + 1 to 10 ^ 38 - 1

float and real data
float and real data types are called approximate data types. In terms of approximate digital data types, the use of float and real data follows IEEE 754 standard

approximate number data types do not store the exact values specified for most numbers, they only store the closest values of these values. In many applications, the small difference between the specified value and the stored value is not obvious. But sometimes these differences also deserve attention. Because of the similarity between float and real data types, these data types are not used when precise numerical status is required, such as in financial applications, in operations that need rounding, or in operations that need equivalence checking. In this case, use integer, decimal, money or smallmoney data types

in the where clause search criteria (especially = and & lt& gt; You should avoid using float or real columns. It's better to restrict the use of float and real columns for & gt; Or & lt; The comparison between the two

IEEE 754 specification provides four rounding modes: rounding to the nearest value, rounding up, rounding down, and rounding to zero. Microsoft® SQL Server™ Use rounding up. All values must be accurate to a certain precision, but there will be small floating-point value changes. Because the binary representation of floating-point numbers can adopt any one of many legal rounding rules, it is impossible to quantify a floating-point value reliably.