%global _empty_manifest_terminate_build 0 Name: python-pilosa Version: 1.3.1 Release: 1 Summary: Python client library for Pilosa License: BSD URL: https://github.com/pilosa/python-pilosa Source0: https://mirrors.aliyun.com/pypi/web/packages/38/6f/4bc55896de925600be4a1368d284a1e5b69c0e6b88843c009ac4e5331154/pilosa-1.3.1.tar.gz BuildArch: noarch Requires: python3-urllib3 Requires: python3-protobuf Requires: python3-pilosa-roaring Requires: python3-opentracing %description # Python Client for Pilosa

Python client for Pilosa high performance distributed row index. ## What's New? See: [CHANGELOG](https://github.com/pilosa/python-pilosa/blob/master/CHANGELOG.md) ## Requirements * **Compatible with Pilosa 1.2 and Pilosa 1.3** * Requires Python 2.7 and higher or Python 3.4 and higher. ## Install Pilosa client is on [PyPI](https://pypi.python.org/pypi/pilosa). You can install the library using `pip`: ``` pip install pilosa ``` ## Usage ### Quick overview Assuming [Pilosa](https://github.com/pilosa/pilosa) server is running at `localhost:10101` (the default): ```python import pilosa # Create the default client client = pilosa.Client() # Retrieve the schema schema = client.schema() # Create an Index object myindex = schema.index("myindex") # Create a Field object myfield = myindex.field("myfield") # make sure the index and field exists on the server client.sync_schema(schema) # Send a Set query. PilosaError is thrown if execution of the query fails. client.query(myfield.set(5, 42)) # Send a Row query. PilosaError is thrown if execution of the query fails. response = client.query(myfield.row(5)) # Get the result result = response.result # Act on the result if result: columns = result.row.columns print("Got columns: ", columns) # You can batch queries to improve throughput response = client.query( myindex.batch_query( myfield.row(5), myfield.row(10), ) ) for result in response.results: # Act on the result print(result.row.columns) ``` ## Documentation ### Data Model and Queries See: [Data Model and Queries](https://github.com/pilosa/python-pilosa/blob/master/docs/data-model-queries.md) ### Executing Queries See: [Server Interaction](https://github.com/pilosa/python-pilosa/blob/master/docs/server-interaction.md) ### Importing and Exporting Data See: [Importing and Exporting Data](https://github.com/pilosa/python-pilosa/blob/master/docs/imports.md) ### Other Documentation * [Tracing](docs/tracing.md) ## Contributing See: [CONTRIBUTING](https://github.com/pilosa/python-pilosa/blob/master/CONTRIBUTING.md) ## License See: [LICENSE](https://github.com/pilosa/python-pilosa/blob/master/LICENSE) %package -n python3-pilosa Summary: Python client library for Pilosa Provides: python-pilosa BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-pilosa # Python Client for Pilosa

Python client for Pilosa high performance distributed row index. ## What's New? See: [CHANGELOG](https://github.com/pilosa/python-pilosa/blob/master/CHANGELOG.md) ## Requirements * **Compatible with Pilosa 1.2 and Pilosa 1.3** * Requires Python 2.7 and higher or Python 3.4 and higher. ## Install Pilosa client is on [PyPI](https://pypi.python.org/pypi/pilosa). You can install the library using `pip`: ``` pip install pilosa ``` ## Usage ### Quick overview Assuming [Pilosa](https://github.com/pilosa/pilosa) server is running at `localhost:10101` (the default): ```python import pilosa # Create the default client client = pilosa.Client() # Retrieve the schema schema = client.schema() # Create an Index object myindex = schema.index("myindex") # Create a Field object myfield = myindex.field("myfield") # make sure the index and field exists on the server client.sync_schema(schema) # Send a Set query. PilosaError is thrown if execution of the query fails. client.query(myfield.set(5, 42)) # Send a Row query. PilosaError is thrown if execution of the query fails. response = client.query(myfield.row(5)) # Get the result result = response.result # Act on the result if result: columns = result.row.columns print("Got columns: ", columns) # You can batch queries to improve throughput response = client.query( myindex.batch_query( myfield.row(5), myfield.row(10), ) ) for result in response.results: # Act on the result print(result.row.columns) ``` ## Documentation ### Data Model and Queries See: [Data Model and Queries](https://github.com/pilosa/python-pilosa/blob/master/docs/data-model-queries.md) ### Executing Queries See: [Server Interaction](https://github.com/pilosa/python-pilosa/blob/master/docs/server-interaction.md) ### Importing and Exporting Data See: [Importing and Exporting Data](https://github.com/pilosa/python-pilosa/blob/master/docs/imports.md) ### Other Documentation * [Tracing](docs/tracing.md) ## Contributing See: [CONTRIBUTING](https://github.com/pilosa/python-pilosa/blob/master/CONTRIBUTING.md) ## License See: [LICENSE](https://github.com/pilosa/python-pilosa/blob/master/LICENSE) %prep %autosetup -n pilosa-1.3.1 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-pilosa -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Thu Jun 08 2023 Python_Bot - 1.3.1-1 - Package Spec generated