It has exported around 21890 rows which are around 10 percent of actual rows in the table (219456). To review, open the file in an editor that reveals hidden Unicode characters. Master table "SYS"."SYS_EXPORT_TABLE_01" successfully loaded/unloaded exported "DBACLASS"."OBJECT_LIST" 2.472 MB 21890 rows - > Processing object type TABLE_EXPORT/TABLE/STATISTICS/MARKER Processing object type TABLE_EXPORT/TABLE/STATISTICS/TABLE_STATISTICS Processing object type TABLE_EXPORT/TABLE/TABLE Total estimation using BLOCKS method: 2.899 MB Processing object type TABLE_EXPORT/TABLE/TABLE_DATA Starting "SYS"."SYS_EXPORT_TABLE_01": /******** AS SYSDBA parfile=exp_sample.parĮstimate in progress using BLOCKS method. With the Partitioning, OLAP, Advanced Analytics and Real Application Testing options All rights reserved.Ĭonnected to: Oracle Database 12c Enterprise Edition Release 12.1.0.2.0 - 64bit Production
MYTRACKS DATA SAMPLE EXPORT OFFLINE
Offline Maps: myTracks provides offline vector maps for every country of the world. Maps: The tracks are shown on pixel or vector maps based on OpenStreetMap. There is no need for an active internet connection. cat exp_sample.parĮxport: Release 12.1.0.2.0 - Production on Mon Nov 19 12:52:01 2018Ĭopyright (c) 1982, 2014, Oracle and/or its affiliates. Here is an overview of the main features of myTracks: - GPS Recording: You record GPS tracks using iPhone or Apple Watch. DEMO: SQL> select count(*) from DBACLASS.OBJECT_LIST The engagement strategies our research team developed around the data collection process in Nairobi became just as important as the resulting data it produced.Let’s say we have a very big table, and for testing purpose, we need only a subset of data i.e to let’s say 10 percent of data from that table, then SAMPLE parameter can be used in EXPDP. Overall, the work illustrates (1) how the GTFS can be adapted to semi-formal systems and used by other cities with such transit systems, (2) that there is demand from technologists as well as transport communities for comprehensive data on semi-formal transit, (3) that releasing the data openly in the GTFS standard format can help to encourage the development of transportation applications, and (4) that including the entire transit community during the data development can create a community of users and mechanisms for institutionalizing a process of data updating and sharing. Perhaps more importantly, through our work in Nairobi, we were able to identify the benefits and technical needs for developing data on semi-formal transit. The results of this work show that mobile technologies, particularly mobile phones, which are increasingly prevalent in developing countries, can indeed be used effectively to collect and deliver data in a modified GTFS format for semi-formal transit. The Digital Matatus project in Nairobi, Kenya set out to test whether the geo-locative capabilities of mobile technology could be used to collect data on a semi-formal transit system and whether that data could be translated into the General Transit Feed Specification (GTFS) data standard for wider use. However, little open and standardized data exist on these systems.
In many of the world's growing cities, semi-formal buses form the basis of public transit systems.
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