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records per page.2. Duplicate data for a column in the current clustered collection after the query is removedDb.userInfo.distinct ("name");Will filter out the same data in nameEquivalent: Select Distict name from UserInfo;3. Check the record of age = 22Db.userInfo.find ({"Age": 22});Equivalent to: SELECT * from userInfo where age = 22;4. Check the records of age > 22Db.userInfo.find ({age: {$gt: 22}});Equivalent to: SELECT * from UserInfo where >22;5. Check the records of age Db.userInfo.find

to: SELECT * from UserInfo where age Copy CodeThe code is as follows: Db.userInfo.find ({age: {$gte: 25}}); Equivalent to: SELECT * from UserInfo where age >= 25;7, query age Copy CodeThe code is as follows: Db.userInfo.find ({age: {$lte: 25}}), 8, query age >= 23 and age Copy CodeThe code is as follows: Db.userInfo.find ({age: {$gte: 9, $lte: 26}}), and query name containing MONGO dataCopy CodeThe code is

. Duplicate data for a column in the current clustered collection after the query is removedDb.userInfo.distinct ("name");Will filter out the same data in nameEquivalent: Select Distict name from UserInfo;3. Check the record of age = 22Db.userInfo.find ({"Age": 22});Equivalent to: SELECT * from userInfo where age = 22;4. Check the records of age > 22Db.userInfo.find ({age: {$gt: 22}});Equivalent to: SELECT * from UserInfo where >22;5. Check the records of age Db.userInfo.find ({age: {$lt: 22}});

dbquery.shellbatchsize= 50, which shows 50 records per page. 2. Duplicate data for a column in the current clustered collection after the query is removed Db.userInfo.distinct ("name"); Will filter out the same data in name Equivalent: Select Distict name from UserInfo; 3. Check the record of age = 22 Db.userInfo.find ({"Age": 22}); Equivalent to: SELECT * from userInfo where age = 22; 4. Check the records of age > 22 Db.userInfo.find ({age: {$gt: 22}}); Equivalent to: SELECT * from UserInfo

Im on a application that receive data from server, the problem was when user connect cellular data to (not 3G or WIFI ), it tak e ages to receive data.I had implemented this code to Answer but im not sure if it's effective or not, sometimes it's giving me an Accura Te type, and sometimes it don ' t.Here is my code: -(void) Newtworktype {Nsarray *subviews = [[[UIApplication Sharedapplication] valueforkey:@ "StatusBar"] valueforkey:@ "Foregroundview"]subviews]; NSNumber *datanetworkitemview = nil;

Install Wireshark3.2 Sniffing Decryption[Email protected]:~/gr-gsm/apps$ lsCMakeLists.txt grgsm_livemon grgsm_livemon.py Helpersgrgsm_decode grgsm_livemon.grc grgsm_scanner readme[email protected]:~/gr-gsm/apps$ gnuradio-companion grgsm_ Livemon.grcTo perform a GRC flow diagram:sudo wireshark-k-y ' gsmtap !icmp '-I loThe captured packets are as follows:The decryption method can be referred to GitHub first:Usage:decoding How to PTRKRYSIK/GR-GSM WikiDecoding-hopping-channelsIn sub

With the popularization of 3G technology and the development of wireless standards and technologies such as LTE, NFC, Bluetooth 4.0, cmms B, and MIMO, mobile Terminals need to integrate multi-band main antennas (supporting 2g, 3G, LTE and other multi-standard), as well as GPS, BT, WiFi, NFC, wireless charging and other antennas. As a result, terminal antenna engineers are facing huge challenges: Antenna siz

384 kbps UMTS 3g wcdma Unicom 3G Universal Mobile Telecommunication System complete 3G Mobile communication technology standard CDMA 2G Telecom Code Division Multiple Access EVDO_0 3G (EVDO full Process of CDMA 2000 1xEV-DO) evolution-Data Only (Data Optimized) 153.6kps-2.4 mbps belongs to 3G EVDO_A 3G 1.8 mbps-3.1 mbps belongs to 3G transition, 3.5G 1 xRTT 2G cdma 2000 1 xRTT (RTT-radio transmission technology) 144 kbps 2G transition, HSDPA 3.5G High-Speed Downlink grouping Access 3.5g wcdma H

Where are the locations of Wi-Fi when different technologies compete for the future of mobile highways? Multiple wireless technologies are competing to become the next-generation Transmission System for Mobile Video and collaborative business applications and services. WiMAX and LTELong-Term Evolution) are currently the leader in the WAN field. Qualcomm's ultra-mobile broadband UMB) technology ranks third, although it is eager to run at a speed above Mbps more than twice the speed that

1. Background and objectives The traditional UMTS wireless communication network is basically designed around the core of the voice service, from the development of 3G, LTE and 4G technology in the future, we can all see that the data service driver plays an important role in the change of network architecture. In the future, communication networks will not only integrate a variety of heterogeneous wireless networks, but also integrate wireless networ

4G + 6 years before 5G 5 Gbps network test speed: 5 Gbps Although the domestic TD-LTE and LTE-FDD of the 4G convergence network test license just recently issued, but unable to cope with the communication equipment vendors run faster: a few days ago, Ericsson announced 5G wireless testing, the maximum network transmission speed is 5 Gbps. Although this data is half faster than the theoretical speed of 5g a

With the continuous development of wireless networks, multi-Stream Aggregation (MSA, Multiple Stream Aggregation) can improve the edge throughput by 500% through deep fusion of Multi-standard, multi-carrier and multi-layer networks, realizing the concept of borderless networks enables users to enjoy high-speed and stable data access services wherever they are on the network. It will become a key technology for network evolution in the future. The popularity of smart terminals and the rapid devel

, including ATT and Verizon, have commercialized five LTE-M networks; carriers, including Vodafone, China Telecom, China Unicom, China Mobile, Korea Telecom, and Deutsche Telekom, have commercialized 23 NB-IoT networks. As the first year of commercial NB-IoT in 2017, China Telecom and China Mobile successively completed the construction of the world's largest NB-IoT network. China Telecom proposed to build an intelligent connection ecosystem in the 13

antennas constitute the "magic triangle" of the development of the base station antenna.Massive MIMOThe base station is equipped with large-scale antenna array, and the spatial freedom and effective multipath components formed by multiple antennas are used to improve the spectrum utilization efficiency of the system.Multi-beam AntennasThe multi-beam antenna uses multi-beam to split the sector, thereby increasing the capacity.2G to 4G Base station antenna development2G/3G era, the antenna is mor

: Db.userInfo.find ({age: {$lt: 22}}); Equivalent to: SELECT * from UserInfo where age 6. Check the records of age >= 25 Copy Code code as follows: Db.userInfo.find ({age: {$gte: 25}}); Equivalent to: SELECT * from UserInfo where age >= 25; 7. Check the records of age Copy Code code as follows: Db.userInfo.find ({age: {$lte: 25}}); 8. Query age >= 23 and age Copy Code code as follows: Db

cannot take ";" However, you can set the size of the data displayed on each page, using dbquery.shellbatchsize= 50, which shows 50 records per page. 2. Duplicate data for a column in the current clustered collection after the query is removed Db.userInfo.distinct ("name"); Will filter out the same data in name, equivalent to: Select Distict name from UserInfo; 3, conditional query, query age = 22 of the record Db.userInfo.find ({"Age": 22}); Equivalent to: SELECT * from userInfo where age = 22;

= 50, which shows 50 records per page. 2. Duplicate data for a column in the current clustered collection after the query is removed Db.userInfo.distinct ("name"); Will filter out the same data in name Equivalent: Select Distict name from UserInfo; 3. Check the record of age = 22 Db.userInfo.find ({"Age": 22}); Equivalent to: SELECT * from userInfo where age = 22; 4. Check the records of age > 22 Db.userInfo.find ({age: {$gt: 22}}); Equivalent to: SELECT * from UserInfo where >22; 5. Check t

column in the current clustered collection after the query is removedDb.userInfo.distinct ("name");Will filter out the same data in nameEquivalent: Select Distict name from UserInfo;3. Check the record of age = 22Db.userInfo.find ({"Age": 22});Equivalent to: SELECT * from userInfo where age = 22;4. Check the records of age > 22Db.userInfo.find ({age: {$gt: 22}});Equivalent to: SELECT * from UserInfo where >22;5. Check the records of age Db.userInfo.find ({age: {$lt: 22}});Equivalent to: SELECT