Key | Value |
---|---|
FileSize | 6149412 |
MD5 | 0E464083DCAD65225D52DCBFF9743FAF |
PackageDescription | Streaming ETL - Geospatial ETL framework for Python 2 Stetl, streaming ETL, pronounced "staedl", is a lightweight ETL-framework for the conversion of rich (as GML) geospatial data conversion. . It basically glues together existing parsing and transformation tools like GDAL/OGR (ogr2ogr) and XSLT. By using native tools like libxml and libxslt (via Python lxml) Stetl is speed-optimized. . Stetl has a similar design as Spring (Java) and other modern frameworks based on IoC (Inversion of Control). A configuration file (in Python config format) specifies your chain of ETL steps. This chain is formed by a series of Python modules/objects and their parameters. These are symbolically specified in the config file. You just invoke etl.py the main program with a config file. The config file specifies the input modules (e.g. PostGIS), transformers (e.g. XSLT) and outputs (e.g. a GML file or even WFS-T a geospatial protocol to publish GML to a server). . This package contains the module for Python 2. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-stetl |
PackageSection | python |
PackageVersion | 1.0.8+ds-2 |
SHA-1 | F476F6DCAC65C4145FCC87B6229110F897E37B4C |
SHA-256 | C9DACB1AD50D29F421766CE8738D544A1343C0F9A3C67B3CBB3524F413FD198D |
hashlookup:children-total | 236 |
hashlookup:trust | 50 |
The searched file hash includes 236 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-stetl/examples/top10nl/sql/create-schema.sql |
FileSize | 550 |
MD5 | 05E928A68D0C67B8D0250ED6D4BFAF78 |
SHA-1 | 0134EA736797E03E49FE48A563C551A0A9914EEF |
SHA-256 | 132BF31BA30C59DE75B83BBD6AD131F915075D12F321168DF76D037422099CF0 |
SSDEEP | 12:rRfeVUEdPC5Lj8EnihqxzHD1qLZgYumDBWOEztg3sB9uK3dPC5Ld:FfeKE6ToAZuXvBqtgcB9f36h |
TLSH | T108F024DA32B77911B57592260D6A00C15D83E02B0234CBBCF86DE02C4F89845939909A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-stetl/examples/basics/6_cmdargs/input/cities.xml |
FileSize | 351 |
MD5 | 1D86D5D0DBE1CC6A6E44918E155DF6E3 |
SHA-1 | 0251974FFEC3DE489EBF84B34F9E5004D37F0C8E |
SHA-256 | 3A590C471FC9C11175305C9EAE48DE7ACE374C1EDBB3F59C6F7459EC8A444807 |
SSDEEP | 6:TM3iWlbCFRUOleRmCFidUxK9+leRVCHUtpleRBCM4:TM3i4bCMgOtTMWOI0NOk9 |
TLSH | T196E012C272F8A015355068C80F37865B6E94658F1258207DB28CEB304F499981B43454 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-stetl/html/_modules/stetl/outputs/fileoutput.html |
FileSize | 11136 |
MD5 | E2013DCE432A30E17A2B11E57EF31220 |
SHA-1 | 02E69EA0D12DDDCC6817C8104707F6FF5D0760FC |
SHA-256 | CE6C53B8C0326153B58C979A7A4E8A0A964276EB6A61B88B37387A3C5CC66992 |
SSDEEP | 192:eFVazRkP0WM9aZgJ9QpivXRpWB2UWMBdeS9Qyi/dAy1IRn:eFOL1IF |
TLSH | T1313236D0A9FB9473007784D352FE0B22B5E1486AE5961940B3FD8B780BDCE543947DAE |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-stetl/examples/basics/12_gdal_ogr/tolowerfilter.py |
FileSize | 895 |
MD5 | EDB215C66A860A7AD54E062FE16B65CE |
SHA-1 | 0315A31907B9CCBCF56635ED25A99A4A28DE76F1 |
SHA-256 | 36CDA04781A0582B7B2D772FE5CA43198FDCF50DF8097BF7363F5FA191FB4EEA |
SSDEEP | 12:icKy3E4gLvQr7crKd8P/Au5y1Ax7Q9Ax9K9K5kow40FxEOgwM19x9iu:lrHgLvy7x6qAxoAxccus8xbg5d |
TLSH | T15F11F111FA16EC3DC2B781FF71A64039BD6D79D751240238B66D93183B93820C0469CF |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/stetl/packet.py |
FileSize | 2715 |
MD5 | 43CEC407172493CF42327BE650253969 |
SHA-1 | 0911043A2012A6B8AEDDD19257DAA271730763D1 |
SHA-256 | 8F48DD76B9F912F5AB7950C53E4113D586F4059B19AC496F2A60350D88BF8CA9 |
SSDEEP | 48:F/8RIqD61ZCp6zdqXr+iQGEcVG/zp/arCXw5vySZRKcMinSljqEtmQTae/OqL:N8RIqD6mpCqqiQGjVyzpSeXMuQSlj9mu |
TLSH | T10F5100217632A029816BCF7745DAF94716CA2D2B811D1478B4FE42A02FB1F2074F2DE8 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-stetl/examples/basics/12_gdal_ogr/output/cities.shx |
FileSize | 140 |
MD5 | 03661E7C39D68304516A4FB791E0C9C3 |
SHA-1 | 092185FA4C2BF396386EC75ABF1F221B77DDFB29 |
SHA-256 | E43CDAB1FE748F63D09B4B6009C6FE220B830423C2C37ACF6317053E424B4D32 |
SSDEEP | 3:0lInrlzXDIxNFlfll1ljlLl/HVll1n:02nxzXDM1 |
TLSH | T1F4C022030B0C3E88C22300302028FB3CA3A32B380008800300C3883C88C3CB38FA022C |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-stetl/examples/basics/6_cmdargs/gmlcities.xsd |
FileSize | 1774 |
MD5 | 8D88DA3248182E9544BD676558F97149 |
SHA-1 | 0985C4ADD7E807AA8AEDDBDBE6294996DAD2D74B |
SHA-256 | 50D82743EE931B0A287206B43E3351ADCC1AEFE15663E91C81B2874CBA66D154 |
SSDEEP | 24:2dsc1vl18DXSK2xv873dbyfrd/3NNUapxyXfv5RHklFM/5LGngp:cTyXSKbyfB/3LpxCfv5RHklFkVGngp |
TLSH | T1F1319CC621F2CD51094B8C70579225595E78A19383F85EA0F8CC4B76EF552C0756B3FA |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-stetl/examples/basics/14_logfileinput/input/apache2.log.gz |
FileSize | 4054 |
MD5 | 25891C2D44EA87067957B6C901459ABF |
SHA-1 | 0A9034BB6DEF552A8D9A1705B9420E7A7CDC62FF |
SHA-256 | 04A3324689744262486E7F84E9653A754941DA3E380D11FB865EC85FA215FC1B |
SSDEEP | 96:M12+BlgvOM6Cwk9vbJnh/+cPIHmD9s2fXEginYVnuU/8f1n:EKc61J+bGDXf4nYVXaB |
TLSH | T1A2818EF5544CF5EE4DDC2F722930BC518D26FC15680EB2678BDA6E62303D1231A222DA |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-stetl/examples/ordnancesurvey/postgres/create-schema.sql |
FileSize | 549 |
MD5 | B5BF816261A46405A789B810B7B76489 |
SHA-1 | 0AD3F1DFD5118ED2CFDAF69E46BADA8E7BCEF4EF |
SHA-256 | 52B78F75352FEE59991410ADA9D031B5A5B6E7488228150BF1308041782F0BF0 |
SSDEEP | 12:rRfeVUEdPC5Lj8EnihqxzHD1qLZgYumDBWOEztg3sB9uK3dPC5Lt:FfeKE6ToAZuXvBqtgcB9f36J |
TLSH | T146F024DA32A77911B57592260C6A00C15D83E02B0234CBBCF86DE02C4F89845939909A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-stetl/examples/basics/6_cmdargs/etl.cfg |
FileSize | 614 |
MD5 | 2515BE78D76DED6722FC423F63129D66 |
SHA-1 | 0BD010349C77254249D9307D5EDD5454138A3BBC |
SHA-256 | 1908810FFDD80E5C6D239EDF76D837DA94C2CAE282CA495C15AD3AC9C84F1660 |
SSDEEP | 12:d6wQLdcIsImF9d06SfvLDsLgv2ZnLzzxP4cPUs25v:tNZImHd3SXLDsCcLxPpUs2x |
TLSH | T1A8F0A225D8C5E3290341F2A27BD44689F51296F163600E1678940C06D39681983F7D5E |