I'm moving the data from Mysql to S3 using data pipeline and it creates empty file for couple of days. I believe, it is making my athena query fails with
"HIVE_CURSOR_ERROR: Unexpected end of input stream".
Below is my script
CREATE EXTERNAL TABLE `test`(
`col0` bigint,
`col1` bigint,
`col2` string,
`col3` string
)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
STORED AS INPUTFORMAT
'org.apache.hadoop.mapred.TextInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION
's3://dummy/'
Could you please let me know if there is any option to skip zero bytes S3 file?
Related
I want to create an external table from a .csv file I uploaded to the server earlier.
In Bline (shell for Hive), I tried running this script:
CREATE EXTERNAL TABLE c_fink_category_mapping (
trench_code string,
fink_code string
)
row format delimited fields terminated by '\073' stored as textfile
location '/appl/trench/dev/data/in/main/daily_wf/fink_category_mapping'
TABLEPROPERTIES ('serialization.null.format' = '')
;
which creates the table w/o any error byt the table itself is empty.
Help would be appreciated.
My textfile is populated with data.
First, check if the location path is correct.
Then try with this configuration:
CREATE EXTERNAL TABLE c_fink_category_mapping (
trench_code string,
fink_code string
)
ROW FORMAT SERDE
'org.apache.hadoop.hive.serde2.OpenCSVSerde'
WITH SERDEPROPERTIES (
'quoteChar'='"',
'separatorChar'=',')
STORED AS INPUTFORMAT
'org.apache.hadoop.mapred.TextInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION
'/appl/trench/dev/data/in/main/daily_wf/fink_category_mapping';
response provided above seems to be correct:
CREATE EXTERNAL TABLE c_fink_category_mapping (
trench_code string,
fink_code string
)
ROW FORMAT SERDE
'org.apache.hadoop.hive.serde2.OpenCSVSerde'
WITH SERDEPROPERTIES (
'quoteChar'='"',
'separatorChar'=',')
STORED AS INPUTFORMAT
'org.apache.hadoop.mapred.TextInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION
'/appl/trench/dev/data/in/main/daily_wf/fink_category_mapping';
This will create the table using a comma as the delimiter, which should correctly parse the data in your CSV file and populate the table with the data from the file. You can also specify a different delimiter character, such as '\t', if that is more appropriate for your data.
Before the question/issue, here's the setup:
Table 1
CREATE EXTERNAL TABLE `table1`(
`mac_address` string,
`node` string,
`wave_found` string,
`wave_data` string,
`calc_dt` string,
`load_dt` string)
PARTITIONED BY (
`site_id` string)
ROW FORMAT SERDE
'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'
STORED AS INPUTFORMAT
'org.apache.hadoop.mapred.TextInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION
's3://foobucket/object-thing'
TBLPROPERTIES (
'has_encrypted_data'='false',
'transient_lastDdlTime'='1654609315')
Table 2
CREATE EXTERNAL TABLE `table2`(
`mac_address` string,
`node` string,
`wave_found` string,
`wave_data` string,
`calc_dt` string,
PARTITIONED BY (
`load_dt` string,
`site_id` string)
ROW FORMAT SERDE
'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'
STORED AS INPUTFORMAT
'org.apache.hadoop.mapred.TextInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION
's3://foobucket/object-thing'
TBLPROPERTIES (
'has_encrypted_data'='false',
'transient_lastDdlTime'='1654147830')
When the following Athena SQL is executed, the error below is thrown:
insert into tabl2
select * from table1;
"HIVE_UNSUPPORTED_FORMAT: Output format
org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat with SerDe
org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe is not
supported."
That error seems relatively straighforward, but I'm still stuck on
building a solution despite looking for alternatives to the so-called
HiveIgnoreKeyTextOutputFormat. There's also the partition difference
going on, but I'm not sure if that has any bearing on this current error
shown here.
Here's some sources I've found and used so far: 1, 2
I am having a external table with below format in hive.
CREATE EXTERNAL TABLE cs_mbr_prov(
key struct<inid:string,......>,
memkey string,
ob_id string,
.....
)
ROW FORMAT SERDE
'org.apache.hadoop.hive.hbase.HBaseSerDe'
STORED BY
'org.apache.hadoop.hive.hbase.HBaseStorageHandler'
WITH SERDEPROPERTIES (
'hbase.columns.mapping'=' :key,ci:MEMKEY, .....',
'serialization.format'='1')
I want to create same type of table in Azure Databricks where my Input and Output are in parquet format.
As per the official Doc I created and reproduced the table with Input and Output are in parquet format.
Sample code:
CREATE EXTERNAL TABLE `vams`(
`country` string,
`count` int)
ROW FORMAT SERDE
'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'
STORED AS INPUTFORMAT
'org.apache.hadoop.hive.ql.io.SymlinkTextInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION
'dbfs:/FileStore/'
TBLPROPERTIES (
'totalSize'='2335',
'numRows'='240',
'rawDataSize'='2095',
'COLUMN_STATS_ACCURATE'='true',
'numFiles'='1',
'transient_lastDdlTime'='1418173653')
Reference:
https://learn.microsoft.com/en-us/azure/databricks/spark/latest/spark-sql/language-manual/sql-ref-syntax-ddl-create-table-hiveformat
I'm making some automatic processes to create tables on Cloudera Hive.
For that I am using the show create table statement that me give (for example) the following ddl:
CREATE TABLE clsd_core.factual_player ( player_name STRING, number_goals INT ) PARTITIONED BY ( player_name STRING ) WITH SERDEPROPERTIES ('serialization.format'='1') STORED AS PARQUET LOCATION 'hdfs://nameservice1/factual_player'
What I need is to run the ddl on a different place to create a table with the same name.
However, when I run that code I return the following error:
Error while compiling statement: FAILED: ParseException line 1:123 missing EOF at 'WITH' near ')'
And I remove manually this part "WITH SERDEPROPERTIES ('serialization.format'='1')" it was able to create the table with success.
Is there a better function to retrieves the tables ddls without the SERDE information?
First issue in your DDL is that partitioned column should not be listed in columns spec, only in the partitioned by. Partition is the folder with name partition_column=value and this column is not stored in the table files, only in the partition directory. If you want partition column to be in the data files, it should be named differently.
Second issue is that SERDEPROPERTIES is a part of SERDE specification, If you do not specify SERDE, it should be no SERDEPROPERTIES. See this manual: StorageFormat andSerDe
Fixed DDL:
CREATE TABLE factual_player (number_goals INT)
PARTITIONED BY (player_name STRING)
STORED AS PARQUET
LOCATION 'hdfs://nameservice1/factual_player';
STORED AS PARQUET already implies SERDE, INPUTFORMAT and OUPPUTFORMAT.
If you want to specify SERDE with it's properties, use this syntax:
CREATE TABLE factual_player(number_goals int)
PARTITIONED BY (player_name string)
ROW FORMAT SERDE 'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'
WITH SERDEPROPERTIES ('serialization.format'='1') --I believe you really do not need this
STORED AS INPUTFORMAT 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat'
OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat'
LOCATION 'hdfs://nameservice1/factual_player'
I placed a text file that is comma delimited in an S3 bucket. I am attempting to query the folder the file resides in but it returns zero results.
Create table DDL:
CREATE EXTERNAL TABLE myDatabase.myTable (
`field_1` string,
`field_2` string,
...
)
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
WITH SERDEPROPERTIES (
'serialization.format' = ',',
'field.delim' = ','
) LOCATION 's3://bucket/files from boss/'
TBLPROPERTIES ('has_encrypted_data'='false');
The issue was the whitespace in the location:
LOCATION 's3://bucket/files from boss/'
I removed the whitespace from the folder name in S3 and I was able to query without issue:
LOCATION 's3://bucket/files_from_boss/'