[jira] [Updated] (ARROW-2227) [Python] Table.from_pandas does not create chunked_arrays.
[ https://issues.apache.org/jira/browse/ARROW-2227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated ARROW-2227: -- Labels: pull-request-available (was: ) > [Python] Table.from_pandas does not create chunked_arrays. > -- > > Key: ARROW-2227 > URL: https://issues.apache.org/jira/browse/ARROW-2227 > Project: Apache Arrow > Issue Type: Bug > Components: Python >Affects Versions: 0.8.0 >Reporter: Chris Ellison >Assignee: Wes McKinney >Priority: Blocker > Labels: pull-request-available > Fix For: 0.9.0 > > > When creating a large enough array, pyarrow raises an exception: > {code:java} > import numpy as np > import pandas as pd > import pyarrow as pa > x = list('1' * 2**31) > y = pd.DataFrame({'x': x}) > t = pa.Table.from_pandas(y) > # ArrowInvalid: BinaryArrow cannot contain more than 2147483646 bytes, have > 2147483647{code} > The array should be chunked for the user. As is, data frames with >2 GiB in > binary data will struggle to get into arrow. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (ARROW-2227) [Python] Table.from_pandas does not create chunked_arrays.
[ https://issues.apache.org/jira/browse/ARROW-2227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wes McKinney updated ARROW-2227: Priority: Blocker (was: Major) > [Python] Table.from_pandas does not create chunked_arrays. > -- > > Key: ARROW-2227 > URL: https://issues.apache.org/jira/browse/ARROW-2227 > Project: Apache Arrow > Issue Type: Bug > Components: Python >Affects Versions: 0.8.0 >Reporter: Chris Ellison >Assignee: Wes McKinney >Priority: Blocker > Fix For: 0.9.0 > > > When creating a large enough array, pyarrow raises an exception: > {code:java} > import numpy as np > import pandas as pd > import pyarrow as pa > x = list('1' * 2**31) > y = pd.DataFrame({'x': x}) > t = pa.Table.from_pandas(y) > # ArrowInvalid: BinaryArrow cannot contain more than 2147483646 bytes, have > 2147483647{code} > The array should be chunked for the user. As is, data frames with >2 GiB in > binary data will struggle to get into arrow. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (ARROW-2227) [Python] Table.from_pandas does not create chunked_arrays.
[ https://issues.apache.org/jira/browse/ARROW-2227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wes McKinney updated ARROW-2227: Fix Version/s: (was: 0.10.0) 0.9.0 > [Python] Table.from_pandas does not create chunked_arrays. > -- > > Key: ARROW-2227 > URL: https://issues.apache.org/jira/browse/ARROW-2227 > Project: Apache Arrow > Issue Type: Bug > Components: Python >Affects Versions: 0.8.0 >Reporter: Chris Ellison >Assignee: Wes McKinney >Priority: Major > Fix For: 0.9.0 > > > When creating a large enough array, pyarrow raises an exception: > {code:java} > import numpy as np > import pandas as pd > import pyarrow as pa > x = list('1' * 2**31) > y = pd.DataFrame({'x': x}) > t = pa.Table.from_pandas(y) > # ArrowInvalid: BinaryArrow cannot contain more than 2147483646 bytes, have > 2147483647{code} > The array should be chunked for the user. As is, data frames with >2 GiB in > binary data will struggle to get into arrow. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (ARROW-2227) [Python] Table.from_pandas does not create chunked_arrays.
[ https://issues.apache.org/jira/browse/ARROW-2227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wes McKinney updated ARROW-2227: Fix Version/s: (was: 0.9.0) 0.10.0 > [Python] Table.from_pandas does not create chunked_arrays. > -- > > Key: ARROW-2227 > URL: https://issues.apache.org/jira/browse/ARROW-2227 > Project: Apache Arrow > Issue Type: Bug > Components: Python >Affects Versions: 0.8.0 >Reporter: Chris Ellison >Assignee: Wes McKinney >Priority: Major > Fix For: 0.10.0 > > > When creating a large enough array, pyarrow raises an exception: > {code:java} > import numpy as np > import pandas as pd > import pyarrow as pa > x = list('1' * 2**31) > y = pd.DataFrame({'x': x}) > t = pa.Table.from_pandas(y) > # ArrowInvalid: BinaryArrow cannot contain more than 2147483646 bytes, have > 2147483647{code} > The array should be chunked for the user. As is, data frames with >2 GiB in > binary data will struggle to get into arrow. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (ARROW-2227) [Python] Table.from_pandas does not create chunked_arrays.
[ https://issues.apache.org/jira/browse/ARROW-2227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wes McKinney updated ARROW-2227: Fix Version/s: 0.9.0 > [Python] Table.from_pandas does not create chunked_arrays. > -- > > Key: ARROW-2227 > URL: https://issues.apache.org/jira/browse/ARROW-2227 > Project: Apache Arrow > Issue Type: Bug > Components: Python >Affects Versions: 0.8.0 >Reporter: Chris Ellison >Priority: Major > Fix For: 0.9.0 > > > When creating a large enough array, pyarrow raises an exception: > {code:java} > import numpy as np > import pandas as pd > import pyarrow as pa > x = list('1' * 2**31) > y = pd.DataFrame({'x': x}) > t = pa.Table.from_pandas(y) > # ArrowInvalid: BinaryArrow cannot contain more than 2147483646 bytes, have > 2147483647{code} > The array should be chunked for the user. As is, data frames with >2 GiB in > binary data will struggle to get into arrow. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (ARROW-2227) [Python] Table.from_pandas does not create chunked_arrays.
[ https://issues.apache.org/jira/browse/ARROW-2227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Chris Ellison updated ARROW-2227: - Summary: [Python] Table.from_pandas does not create chunked_arrays. (was: Table.from_pandas does not create chunked_arrays.) > [Python] Table.from_pandas does not create chunked_arrays. > -- > > Key: ARROW-2227 > URL: https://issues.apache.org/jira/browse/ARROW-2227 > Project: Apache Arrow > Issue Type: Bug > Components: Python >Affects Versions: 0.8.0 >Reporter: Chris Ellison >Priority: Major > > When creating a large enough array, pyarrow raises an exception: > {code:java} > import numpy as np > import pandas as pd > import pyarrow as pa > x = list('1' * 2**31) > y = pd.DataFrame({'x': x}) > t = pa.Table.from_pandas(y) > # ArrowInvalid: BinaryArrow cannot contain more than 2147483646 bytes, have > 2147483647{code} > The array should be chunked for the user. As is, data frames with >2 GiB in > binary data will struggle to get into arrow. -- This message was sent by Atlassian JIRA (v7.6.3#76005)