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@gumdropsteve
Created December 22, 2019 15:34
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output of conda installing blazingsql in google colab with miniconda
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.5.4
latest version: 4.8.0
Please update conda by running
$ conda update -n base conda
## Package Plan ##
environment location: /usr/local
added / updated specs:
- blazingsql
- cudatoolkit=10.0
- python=3.6
The following packages will be downloaded:
package | build
---------------------------|-----------------
libsodium-1.0.17 | h516909a_0 330 KB conda-forge
cppzmq-4.4.1 | hc9558a2_0 19 KB conda-forge
cugraph-0.11.0 | py36_0 2.5 MB rapidsai
cuml-0.11.0 | cuda10.0_py36_0 8.4 MB rapidsai
libcuspatial-0.11.0 | cuda10.0_0 1.6 MB rapidsai
sasl-0.2.1 |py36he1b5a44_1001 56 KB conda-forge
libcudf-0.11.0 | cuda10.0_0 64.7 MB rapidsai
thrift-0.11.0 |py36he1b5a44_1001 109 KB conda-forge
pyhive-0.6.1 | py36_0 81 KB
libgcrypt-1.8.4 | hf484d3e_1000 614 KB conda-forge
cupy-6.6.0 | py36h809cb0f_1 14.5 MB conda-forge
libcumlprims-0.11.0 | cuda10.0_0 5.6 MB nvidia
libgsasl-1.8.0 | h19a2143_1004 132 KB conda-forge
libcuml-0.11.0 | cuda10.0_0 48.0 MB rapidsai
libcugraph-0.11.0 | cuda10.0_0 15.9 MB rapidsai
libntlm-1.4 | h14c3975_1002 32 KB conda-forge
blazingsql-0.11 | cuda10.0_py36_2 102.5 MB blazingsql/label/cuda10.0
xgboost-1.0.0.SNAPSHOT | cuda10.0py36_1 12 KB rapidsai
cyrus-sasl-2.1.27 | he38ecfd_0 232 KB conda-forge
zeromq-4.3.2 | he1b5a44_2 668 KB conda-forge
thrift_sasl-0.3.0 |py36h516909a_1001 13 KB conda-forge
librmm-0.11.0 | cuda10.0_0 52 KB rapidsai
libhdfs3-2.3 | h311b756_1006 8.9 MB conda-forge
sqlalchemy-1.3.12 | py36h516909a_0 1.8 MB conda-forge
cudatoolkit-10.0.130 | 0 380.0 MB nvidia
nccl-2.4.6.1 | cuda10.0_0 66.5 MB nvidia
future-0.18.2 | py36_0 713 KB conda-forge
netifaces-0.10.9 |py36h516909a_1000 16 KB conda-forge
jpype1-0.7 | py36h9de70de_0 2.2 MB conda-forge
py-xgboost-1.0.0.SNAPSHOT | cuda10.0py36_1 95 KB rapidsai
bsql-toolchain-gcp-cpp-0.11| 0 2.5 MB blazingsql
libgpg-error-1.36 | he1b5a44_0 259 KB conda-forge
libnvstrings-0.11.0 | cuda10.0_0 29.5 MB rapidsai
openjdk-8.0.192 | h14c3975_1003 69.5 MB conda-forge
libxgboost-1.0.0.SNAPSHOT | cuda10.0_1 30.5 MB rapidsai
bsql-toolchain-0.11 | 0 6 KB blazingsql
bsql-toolchain-aws-cpp-0.11| 0 1.2 MB blazingsql
dask-cuda-0.11.0 | py36_0 31 KB rapidsai
cudnn-7.6.0 | cuda10.0_0 216.6 MB nvidia
------------------------------------------------------------
Total: 1.05 GB
The following NEW packages will be INSTALLED:
blazingsql: 0.11-cuda10.0_py36_2 blazingsql/label/cuda10.0
bsql-toolchain: 0.11-0 blazingsql
bsql-toolchain-aws-cpp: 0.11-0 blazingsql
bsql-toolchain-gcp-cpp: 0.11-0 blazingsql
cppzmq: 4.4.1-hc9558a2_0 conda-forge
cyrus-sasl: 2.1.27-he38ecfd_0 conda-forge
dask-cuda: 0.11.0-py36_0 rapidsai
future: 0.18.2-py36_0 conda-forge
jpype1: 0.7-py36h9de70de_0 conda-forge
libgcrypt: 1.8.4-hf484d3e_1000 conda-forge
libgpg-error: 1.36-he1b5a44_0 conda-forge
libgsasl: 1.8.0-h19a2143_1004 conda-forge
libhdfs3: 2.3-h311b756_1006 conda-forge
libntlm: 1.4-h14c3975_1002 conda-forge
libsodium: 1.0.17-h516909a_0 conda-forge
netifaces: 0.10.9-py36h516909a_1000 conda-forge
openjdk: 8.0.192-h14c3975_1003 conda-forge
pyhive: 0.6.1-py36_0
sasl: 0.2.1-py36he1b5a44_1001 conda-forge
sqlalchemy: 1.3.12-py36h516909a_0 conda-forge
thrift: 0.11.0-py36he1b5a44_1001 conda-forge
thrift_sasl: 0.3.0-py36h516909a_1001 conda-forge
zeromq: 4.3.2-he1b5a44_2 conda-forge
The following packages will be UPDATED:
cudnn: 7.6.0-cuda10.1_0 nvidia --> 7.6.0-cuda10.0_0 nvidia
cugraph: 0.11.0b191212-py36_13 rapidsai-nightly --> 0.11.0-py36_0 rapidsai
cuml: 0.11.0a1191212-cuda10.1_py36_1237 rapidsai-nightly --> 0.11.0-cuda10.0_py36_0 rapidsai
cupy: 6.6.0-py36ha7c4746_1 conda-forge --> 6.6.0-py36h809cb0f_1 conda-forge
libcudf: 0.11.0b191211-cuda10.1_105 rapidsai-nightly --> 0.11.0-cuda10.0_0 rapidsai
libcugraph: 0.11.0b191212-cuda10.1_13 rapidsai-nightly --> 0.11.0-cuda10.0_0 rapidsai
libcuml: 0.11.0a1191212-cuda10.1_1237 rapidsai-nightly --> 0.11.0-cuda10.0_0 rapidsai
libcumlprims: 0.11.0a191222-cuda10.1_130 rapidsai-nightly --> 0.11.0-cuda10.0_0 nvidia
libcuspatial: 0.11.0b191211-cuda10.1_0 rapidsai-nightly --> 0.11.0-cuda10.0_0 rapidsai
libnvstrings: 0.11.0b191211-cuda10.1_105 rapidsai-nightly --> 0.11.0-cuda10.0_0 rapidsai
librmm: 0.11.0b191212-cuda10.1_80 rapidsai-nightly --> 0.11.0-cuda10.0_0 rapidsai
libxgboost: 1.0.0.SNAPSHOT-cuda10.1_1 rapidsai-nightly/label/xgboost --> 1.0.0.SNAPSHOT-cuda10.0_1 rapidsai
nccl: 2.4.6.1-cuda10.1_0 nvidia --> 2.4.6.1-cuda10.0_0 nvidia
py-xgboost: 1.0.0.SNAPSHOT-cuda10.1py36_1 rapidsai-nightly/label/xgboost --> 1.0.0.SNAPSHOT-cuda10.0py36_1 rapidsai
xgboost: 1.0.0.SNAPSHOT-cuda10.1py36_1 rapidsai-nightly/label/xgboost --> 1.0.0.SNAPSHOT-cuda10.0py36_1 rapidsai
The following packages will be DOWNGRADED:
cudatoolkit: 10.1.243-h6bb024c_0 nvidia --> 10.0.130-0 nvidia
Proceed ([y]/n)? y
Downloading and Extracting Packages
libsodium-1.0.17 | 330 KB | : 100% 1.0/1 [00:00<00:00, 8.95it/s]
cppzmq-4.4.1 | 19 KB | : 100% 1.0/1 [00:00<00:00, 2.71it/s]
cugraph-0.11.0 | 2.5 MB | : 100% 1.0/1 [00:01<00:00, 1.66s/it]
cuml-0.11.0 | 8.4 MB | : 100% 1.0/1 [00:01<00:00, 1.66s/it]
libcuspatial-0.11.0 | 1.6 MB | : 100% 1.0/1 [00:00<00:00, 1.31it/s]
sasl-0.2.1 | 56 KB | : 100% 1.0/1 [00:00<00:00, 21.34it/s]
libcudf-0.11.0 | 64.7 MB | : 100% 1.0/1 [00:15<00:00, 15.40s/it]
thrift-0.11.0 | 109 KB | : 100% 1.0/1 [00:00<00:00, 15.44it/s]
pyhive-0.6.1 | 81 KB | : 100% 1.0/1 [00:00<00:00, 2.99it/s]
libgcrypt-1.8.4 | 614 KB | : 100% 1.0/1 [00:00<00:00, 7.74it/s]
cupy-6.6.0 | 14.5 MB | : 100% 1.0/1 [00:02<00:00, 2.53s/it]
libcumlprims-0.11.0 | 5.6 MB | : 100% 1.0/1 [00:02<00:00, 2.25s/it]
libgsasl-1.8.0 | 132 KB | : 100% 1.0/1 [00:00<00:00, 15.43it/s]
libcuml-0.11.0 | 48.0 MB | : 100% 1.0/1 [00:10<00:00, 10.24s/it]
libcugraph-0.11.0 | 15.9 MB | : 100% 1.0/1 [00:03<00:00, 3.91s/it]
libntlm-1.4 | 32 KB | : 100% 1.0/1 [00:00<00:00, 24.54it/s]
blazingsql-0.11 | 102.5 MB | : 100% 1.0/1 [00:12<00:00, 12.54s/it]
xgboost-1.0.0.SNAPSH | 12 KB | : 100% 1.0/1 [00:00<00:00, 2.03it/s]
cyrus-sasl-2.1.27 | 232 KB | : 100% 1.0/1 [00:00<00:00, 10.81it/s]
zeromq-4.3.2 | 668 KB | : 100% 1.0/1 [00:00<00:00, 5.89it/s]
thrift_sasl-0.3.0 | 13 KB | : 100% 1.0/1 [00:00<00:00, 28.23it/s]
librmm-0.11.0 | 52 KB | : 100% 1.0/1 [00:00<00:00, 3.50it/s]
libhdfs3-2.3 | 8.9 MB | : 100% 1.0/1 [00:01<00:00, 1.40s/it]
sqlalchemy-1.3.12 | 1.8 MB | : 100% 1.0/1 [00:00<00:00, 2.07it/s]
cudatoolkit-10.0.130 | 380.0 MB | : 100% 1.0/1 [00:52<00:00, 52.60s/it]
nccl-2.4.6.1 | 66.5 MB | : 100% 1.0/1 [00:10<00:00, 10.52s/it]
future-0.18.2 | 713 KB | : 100% 1.0/1 [00:00<00:00, 3.93it/s]
netifaces-0.10.9 | 16 KB | : 100% 1.0/1 [00:00<00:00, 24.91it/s]
jpype1-0.7 | 2.2 MB | : 100% 1.0/1 [00:00<00:00, 2.85it/s]
py-xgboost-1.0.0.SNA | 95 KB | : 100% 1.0/1 [00:00<00:00, 1.08it/s]
bsql-toolchain-gcp-c | 2.5 MB | : 100% 1.0/1 [00:01<00:00, 1.53s/it]
libgpg-error-1.36 | 259 KB | : 100% 1.0/1 [00:00<00:00, 10.35it/s]
libnvstrings-0.11.0 | 29.5 MB | : 100% 1.0/1 [00:06<00:00, 6.99s/it]
openjdk-8.0.192 | 69.5 MB | : 100% 1.0/1 [00:09<00:00, 9.38s/it]
libxgboost-1.0.0.SNA | 30.5 MB | : 100% 1.0/1 [00:08<00:00, 8.52s/it]
bsql-toolchain-0.11 | 6 KB | : 100% 1.0/1 [00:00<00:00, 1.40it/s]
bsql-toolchain-aws-c | 1.2 MB | : 100% 1.0/1 [00:01<00:00, 1.06s/it]
dask-cuda-0.11.0 | 31 KB | : 100% 1.0/1 [00:00<00:00, 3.70it/s]
cudnn-7.6.0 | 216.6 MB | : 100% 1.0/1 [00:31<00:00, 31.43s/it]
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
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